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// Exa 8.13 clc; clear; close; // Given data N = 83;//compositon of nitrogen in % C = 81;//carbon mass in the fuel in % C1 = 11;//compositon of CO2 in % C2 = 2;// compositon of CO in % O = 4;// composition of O2 in % AirSupplied =N*C/(33*(C1+C2));// in kg/kg disp(AirSupplied,"The amount of air supplied in kg per kg of fuel is : ") ExcessAir =79*O*C/(21*33*(C1+C2));// in kg/kg disp(ExcessAir,"Weight of excess air in kg per kg of fuel is : ")
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clear clc // Função para se calcular a raiz function y = f(x) y = log(x) - 1; endfunction // Derivada da função - necessaria para metodo de newton function y = f1(x) y = 1/x; endfunction function y = bissecao(a, b, p) i = 0; while 1 then // Aproximação da raiz x = (a+b)/2; // Erro relativoS eR = abs((x - a)/x); if( f(a)*f(x) < 0 ) then b = x; else a = x; end if eR < 10^-p then break end i = i+1; end disp('[raiz, erro_relativo, iterações]') y = [x, eR, i]; endfunction function y = falsa_posicao(a, b, p) i = 0; while 1 then // Aproximação da raiz x = a - ((f(a)*(b-a))/(f(b)-f(a))); // Erro relativo eR = abs((x - a)/x); if( f(a)*f(x) < 0 ) then b = x; else a = x; end if eR < 10^-p then break end i = i+1; end disp('[raiz, erro_relativo, iterações]') y = [x, eR, i]; endfunction function y = newton(x, p) i = 0; while 1 then xOld = x; // Aproximação da raiz x = xOld - (f(xOld)/f1(xOld)); // Erro relativo eR = abs((x - xOld)/x); if eR < 10^-p then break; end i = i + 1; end disp('[raiz, erro_relativo, iterações]') y = [x, eR, i]; endfunction function y = secante(x, xOld, p) i = 0; while 1 then xTemp = xOld; xOld = x; // Aproximação da raiz x = xOld - ((f(xOld)*(xTemp - xOld))/(f(xTemp) - f(xOld))); // Erro relativo eR = abs((x - xOld)/x); if eR < 10^-p then break; end i = i + 1; end disp('[raiz, erro_relativo, iterações]') y = [x, eR, i]; endfunction bissecao(2, 3, 5) falsa_posicao(2, 3, 5) newton(2, 5) secante(2, 3, 5)
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// Example 4_10 clc;funcprot(0); // Given data T=20;// °C mu_0=4*%pi*10^-7;// V.s/A Shi_m=-2.20*10^-5;// The electric susceptibility H_2=1.00*10^3;// A/m V=5.00*10^-6;// m^3 // Solution // (a) H_1=0;// A/m W_12=-mu_0*V*(1+Shi_m)*((H_2^2-H_1^2)/2);// J printf('\n(a)The total magnetic work required,(W_12)magnetic=%1.2e J',W_12); // (b) W_12=-mu_0*V*Shi_m*((H_2^2-H_1^2)/2);// J printf('\n(b)The magnetic work required to change the magnetic field strength,(W)_magnetic=%1.2e J',W_12);
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//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 3.2 //calculation of average speed and instantaneous speed //given data function s=f(t) s=2.5*t^2; endfunction t=5; //time (in s) //calculation vav=f(t)/t; //average speed(in m/s) vinst=derivative(f,t); //instantaneous speed(in m/s) disp(vav,'the average speed(in m/s) of the particle is'); disp(vinst,'the instantaneous speed(in m/s) of the particle is');
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//CHAPTER 2- STEADY-STATE ANALYSIS OF SINGLE-PHASE A.C. CIRCUIT //Example 17 disp("CHAPTER 2"); disp("EXAMPLE 17"); //VARIABLE INITIALIZATION e=141.4; //in Volts E=141.4/sqrt(2); //in Volts angle_E=0; //in degrees //i(t)=(14.14<0)+(7.07<120) i1=14.14; //in Amperes angle_i1=0; //in degrees i2=7.07; //in Amperes angle_i2=120; //in degrees //SOLUTION //function to convert from polar form to rectangular form function [x,y]=pol2rect(mag,angle); x=mag*cos(angle*(%pi/180)); //to convert the angle from degrees to radians y=mag*sin(angle*(%pi/180)); endfunction; [i1_x,i1_y]=pol2rect(i1,angle_i1); [i2_x,i2_y]=pol2rect(i2,angle_i2); i=(i1_x+i2_x)+(%i*(i1_y+i2_y)); //function to convert from rectangular form to polar form function [mag,angle]=rect2pol(x,y); mag=sqrt((x^2)+(y^2)); angle=atan(y/x)*(180/%pi); //to convert the angle from radians to degrees endfunction; [I,angle_I]=rect2pol((i1_x+i2_x),(i1_y+i2_y)); I=I/sqrt(2); //solution (i) z=E/I; angle_z=angle_E-angle_I; [r,xc]=pol2rect(z,angle_z); f=50; c=1/(2*%pi*f*(-xc)); disp(sprintf("(i) The value of resistance is %f Ω",r)); disp(sprintf(" The value of capacitance is %f μF",c*10^6)); //solution (ii) pf=cos(angle_z*(%pi/180)); disp(sprintf("(ii) The power factor is %f ",pf)); //solution (iii) p=E*I*pf; disp(sprintf("(iii) The power absorbed by the source is %f W",p)); //END
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function f=%r_d_p(f,p) // f=f./p //! // Copyright INRIA f(3)=f(3).*p f(2)=f(2).*ones(p)
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<cmd> ../build/42sh</cmd> <ref> bash</ref> <stdin> echo $((1-1-10-10-6-4-68-998-10-5)) </stdin>
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// ELECTRIC POWER TRANSMISSION SYSTEM ENGINEERING ANALYSIS AND DESIGN // TURAN GONEN // CRC PRESS // SECOND EDITION // CHAPTER : 4 : OVERHEAD POWER TRANSMISSION // EXAMPLE : 4.14 : clear ; clc ; close ; // Clear the work space and console // GIVEN DATA KV = 345 ; // Transmission line voltage in kV V_R = KV ; // Sending end voltage in kV x_L = 0.588 ;// Inductive reactance in Ω/mi/phase b_c = 7.20*10^-6 ;// susceptance S phase to neutral per phase l = 200 ;// Total line length in mi per = 60/100 ; // 2 shunt reactors absorb 60% of total 3-Φ magnetizing var cost = 10 ; // cost of each reactor is $10/kVA // CALCULATIONS // For case (a) x_C = 1/b_c ;// Ω/mi/phase Z_C = sqrt(x_C * x_L) ; SIL = KV^2/Z_C ; // Surge impedance loading in MVA/mi SIL1 = (KV^2/Z_C) * l ; // Surge impedance loading of line in MVA . [1MVA = 1MW] // For case (b) delta = 90 ; // Max 3-Φ theoretical steady-state power flow limit occurs for δ = 90 degree V_S = V_R ; // sending end voltage in kV X_L = x_L * l ; // Inductive reactance Ω/phase P_max = V_S * V_R * sind(delta)/(X_L) ; // For case (c) Q_C = V_S^2 * (b_c * l/2) + V_R^2 *( b_c * l/2) ; // Total 3-Φ magnetizing var in Mvar Q = (1/2) * per * Q_C ; // 3-Φ megavoltampere rating of each reactor . Q = (1/2)*Q_L // For case (d) Q_L1 = Q * 10^3 ; // Total 3-Φ magnetizing var in Kvar T_cost = Q_L1 * cost ; // Cost of each reactor in $ // For case (e) g = %i * sqrt(x_L * (1-per)/x_C) ; // rad/mi g_l = g * l ; // rad V_R_oc = V_S/cosh(g_l) ; // Open circuit receiving-end voltage in kV X_L = x_L *l ; X_C = (x_C * 2) / (l * (1 - per)) ; V_R_oc1 = V_S * ( -%i*X_C/(-%i*X_C + %i*X_L) ) ; // Alernative method to find Open-circuit receiving-end voltage in kV // DISPLAY RESULTS disp("EXAMPLE : 4.14 : SOLUTION :-") ; printf("\n (a) Total 3-phase SIL of line , SIL = %.2f MVA/mi \n",SIL) ; printf("\n Total 3-Φ SIL of line for total line length , SIL = %.2f MVA \n",SIL1) ; printf("\n (b) Maximum 3-phase theortical power flow , P_max = %.2f MW \n",P_max) ; printf("\n (c) 3-phase MVA rating of each reactor , (1/2)Q_L = %.2f MVA \n",Q) ; printf("\n (d) Cost of each reactor at $10/kVA = $ %.2f \n",T_cost) ; printf("\n (e) Open circuit receiving voltage , V_Roc= %.2f kV \n",V_R_oc) ; printf("\n From alternative method ,") ; printf("\n Open-circuit receiving-end voltage if line is open at receiving end , V_R_oc = %.2f kV \n",V_R_oc1) ;
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// exa 5.1 clc; clear; close; // Given data R1 = 600;// in ohm R2 = 1000;// in ohm R_TH = (R1*R2)/(R1+R2);// in ohm X_C = 37.5;// in ohm f = 1;// in kHz f= f*10^3;// in Hz C = 1/(2*%pi * f*X_C);// in F disp(C*10^6,"Value of C in µF is");
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//ex2.5 from the previous problem find instantaneous voltage in -X direction //at x=0 and t=0 v(t)=8.66V vt=8.66; o=30*3.142/180; V=vt/cos(o); //at x=1 and t=100nSec w=2e9*%pi; t=100e-9; b=28.2; x=1; a=2.23; vt1=V*exp(a*x)*cos(o+w*t+b*x); disp('the votage at x=1m & t=100nsec is= '+string(vt1)+'V');
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//Exa 5.8 clc; clear; close; //Given data : l=80;//km P=15;//MW VR=66*10^3;//Volt R=l*0.3125;//ohm X=l*1;//ohm Y=l*17.5*10^-6;//S pf=0.8;//power factor cos_fi_r=pf; sin_fi_r=sqrt(1-cos_fi_r^2); IR=P*10^6/(VR*pf);//A IR=IR*(cos_fi_r-%i*sin_fi_r);//A IC=%i*Y*VR;//A IS=IR+IC;//A disp("Sending end current(A), magnitude is "+string(abs(IS))+" and angle in degree is "+string(atand(imag(IS),real(IS)))); VS=VR+IS*(R+%i*X);//volt disp("Sending end voltage(V), magnitude is "+string(abs(VS))+" and angle in degree is "+string(atand(imag(VS),real(VS)))); fi_s=atand(imag(VS),real(VS))-atand(imag(IS),real(IS));// cos_fis=cosd(fi_s);//sending end pf disp(cos_fis,"Sending end power factor(lag) : "); Reg=(abs(VS)-VR)/VR*100;//% disp(Reg,"Regulation(%) : "); LineLoss=abs(IS)^2*R/1000;//kW disp(LineLoss,"Line Losses in kW : "); Eta_T=P*1000/(P*1000+LineLoss)*100;//% disp(Eta_T,"Transmission Efficiency(%) : ");
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//Chapter-9,Example 1,Page 219 clc(); close(); a= 1.25 //cross section area in cmsquare l= 10.5 //distance of seperation r=1996 //resistance O_cond= 1/r //observed conductivity C_constant = l/a //cell constant S_cond=C_constant*O_cond //specific conductivity printf('the cell constant is %.2f /cm',C_constant) printf('\n the specific conductivity is %.5f /ohm.cm ',S_cond)
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errcatch(-1,"stop");mode(2);// Example 6.8, page no-374 rho=1000 h=15 ex_p=1 P=(rho*h/10000)+ex_p printf("P = %.1f kg/cm^2",P) exit();
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//Variable declaration: F = 50.0 //Buoyancy flux of gas (m^4/s^3) u = 4.0 //wind speed (m/s) //Calculation: xc = 14*F**(5.0/8.0) //Downward distance (m) xf = 3.5*xc //distance of transition from first stage of rise to the second stage of rise (m) Dh = 1.6*F**(1.0/3.0)*u**-1*xf**(2.0/3.0) //Plume rise (m) //Result: printf("The plume rise is : %.0f m .",Dh)
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function y=autovalor() A = [-1, -4, 0, -3; 0, 2, 0, 0; 1, 4, 2, 0; 18, 10, 16, 1] y=spec(A) [Vetor,Valor] = spec(A) disp(A, "matriz") disp(Valor, "Autovalor") disp(Vetor, "Autovetor") endfunction
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//Problem 15.28: The power taken by an inductive circuit when connected to a 120 V, 50 Hz supply is 400 W and the current is 8 A. Calculate (a) the resistance, (b) the impedance, (c) the reactance, (d) the power factor, and (e) the phase angle between voltage and current. //initializing the variables: V = 120; // in Volts f = 50; // in Hz P = 400; // in Watt I = 8; // in Amperes //calculation: R = P/(I*I) Z = V/I XL = (Z^2 - R^2)^0.5 pf = P/(V*I) phi = acos(pf)*180/%pi printf("\n\n Result \n\n") printf("\n (a)resistance = %.2f ohm ",R) printf("\n (b)Impedance Z = %.0f Ohm ",Z) printf("\n (c)reactance = %.2f ohm ",XL) printf("\n (d)Power factor = %.4f",pf) printf("\n (e)phase angle = %.2f°",phi)
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clear; clc; // Stoichiometry // Chapter 6 // Stoichiometry and Unit Operations // Example 6.5 // Page 356 printf("Example 6.5, Page 356 \n \n"); // solution //(a) printf("(a) \n \n") // basis 50000 m^3/h of gas mix at 295.5K 100kPa v = 24.57 //m^3/kmol sp vol of gas at 295.5K and 100kPa n1 = 50000/v // kmol/h flow of incoming gas NO2in = n1*.0546 N2O4in = n1*.0214 N2in = n1-NO2in-N2O4in //N2 is unaffected n2 = 1880.34/.95 //kmol/h outgoing gas flow // using tables 6.3 and 6.4 on page 357 NO2rem = NO2in - (n2*.0393) N2O4rem = N2O4in - (n2*.0082) // rxn (ii) NaOHreac2 = 2*40*N2O4rem NaNO2pro2 = 69*N2O4rem NaNO3pro2 = 85*N2O4rem H2Opro2 = 18*N2O4rem // rxn (iii) NO2reac3 = 3*n2*.0025 NaOHreac3 = 2*4.95*40 NaNO3pro3 = 2*4.95*85 H2Opro3 = 4.95*18 NO2abs2 = 33.33-NO2reac3 NaOHreac1 = 18.48*40 NaNO2pro1 = 69*NO2abs2/2 NaNO3pro1 = 85*NO2abs2/2 H2Opro1 = 18*NO2abs2/2 NaNO2t = NaNO2pro2 + NaNO2pro1 NaNO3t = NaNO3pro2+NaNO3pro3 H2Ot = H2Opro1+H2Opro2+H2Opro3 NaOHt = NaOHreac1+NaOHreac2+NaOHreac3 liq = 37500 //kg/h NaOHin = liq*.236 NaOHout = NaOHin-NaOHt moist = n2*.045*18 water = liq-NaOHin-H2Ot-moist //kg/h printf("Composition of final liquor : \n Component mi (kg/h) \n NaOH "+string(NaOHout)+" \n NaNO2 "+string(NaNO2t)+" \n NaNO3 "+string(NaNO3t)+" \n H2O "+string(water)+" \n \n \n (b)") //(b) //heat effect of scrubbing //using tables 6.6 and 6.7 //fi1 = integ{59865.7+4545.8+10^-3 *T + 15266.3*10^-6*T^2-705.11*10^-9*T^3} fi1 = -155941.3/3600 //kW //similarly fi2 = 75.778 //kW dH1 = (-346.303-450.1-285.83-(2*(-468.257)+2*33.18))/2 //kJ/mol NO2 dH2 = -346.303-450.1-285.83-(2*(-468.257)+9.16) //kJ/mol N2O4 dH3 = (2*(-450.1)-285.83+90.25-(2*(-468.257)+3*33.18))/3 // kJ/mol NO2 dHdil = -469.837-(-468.257) //kJ/mol NaOH fi3 = (dH1*1000*18.48+dH2*1000*27.32+dH3*1000*14.85+dHdil*1000*138.23)/3600 //kW fi4 = -fi1+fi2+fi3 printf("Heat efeet of scrubbing system = "+string(fi4)+" kW.")
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a b e b e א ב י ב י a b e l א ב ל a b i e א ב י a d e n ע ד ן a f g h a n i s t a n א פ ג נ ס י ט א ן a f i a ע א פ י ה a l b a n i a א ל ב נ י ה a l d a i r א ל ד י י ר a l f a r a z d a q א ל פ ר ז ד ק a l m a s z a d e h א ל מ א ס ז א ד ה a l t a א ל ט א a l t a i א ל ט א י a l z h e i m e r א ל ז ה א י מ ר a m a l א מ ל a m i r a א מ י ר ה a m r a m ע מ ר ם a n d e r א נ ד ר a n d o n i א נ ד ו נ י a n d r o n i c u s א נ ד ר ו נ י ק ו ס a n g h e l א נ ג י ל a n t a r ע נ ט ר a n t a r c t i c א נ ט א ר ק ט י ק a n t o n i n o א נ ט ו נ י נ ו a p o l o א פ ו ל ו a r a c t i n g i ע ר ק ט י נ ג י a r a z i א ר ז י a r c a א ר ק א a r m a n d o א ר מ א נ ד ו a r s e n א ר ס ן a s h l e y א ש ל י a s s a d א ס ד a s t r o א ס ט ר ו a t h l e t i c א ת ל ט י ק a t l a n t i s א ט ל א נ ט י ס a t o p i c א ט ו פ י ק a u g s b u r g א ו ג ס ב ר ג a u g u s t o א ו ג ו ס ט ו a u r e l i u s א ו ר י ל י ו ס a v a l o n א ב א ל ו ן a v n i א ב נ י a w a d ע ו ו א ד a y a l a א י י ל ה a y n ע י ן a z i z ע ז י ז b a a l b e k ב ע ל ב ק b a b a y a r o ב א ב א י א ר ו b a b i ב א ב י b a c a u ב א ק א ו b a h e r ב א ה ר b a h i ב א ה י b a i b a r s ב א י ב א ר ס b a k h o u m ב א כ ו ם b a l ב א ל b a l e l ב א ל ל b a l i g h ב א ל י ג b a l j i c ב א ל י ט ש b a l l m e r ב א ל מ ר b a l l o t t a ב א ל ו ט א b a n d a r a n a i k e ב א נ ד א ר א נ א י ק ה b a n d o ב א נ ד ו b a q i r ב א ק י ר b a r a z i t e ב א ר א ז א י ט b a r e n b o i m ב א ר י נ ב ו י ם b a r n e a ב א ר נ י א b a r r o s o ב א ר ו ס ו b a s r i ב ס ר י b a u e r ב א ו ו ר b a z o o k a ב א ז ו ק א b e a r z o t ב י ר ז ו ט b e j b l ב י י ב ל b e k ב ק b e l l ב ל b e l l e r i ב ל י ר י b e n ב ן b e n a z i r ב נ א ז י ר b e n e ב נ י b e n t ב נ ט b e r g o m i ב י ר ג ו מ י b e r n a l ב ר נ א ל b e r o s s u s ב י ר ו ס ו ס b e r r i ב ר י b e s s o n ב ס ו ן b i n ב י ן b i r s k ב י ר ס ק b j o r k m a n ב י ו ר ק מ א ן b k s y ב ק ס י b l a c k s t o n e ב ל א ק ס ט ו ן b l a i r ב ל י י ר b l a n c ב ל א נ ק b l a z e k ב ל א ז י ק b l e d e l ב ל ד ל b l u m e n t h a l ב ל ו מ נ ת א ל b o b ב ו ב b o c o ב ו ק ו b o o y ב ו י b o r g e t t i ב ו ר ג י ט י b o r l a u g ב ו ר ל ו ג b o u m a ב ו מ א b o u m e d i e n e ב ו מ ד י ן b o u r d i e u ב ו ר ד י ו b r i d g e ב ר י ד ג ' b r i d g e t ב ר י ג ' ט b r n o ב ר נ ו b r o c c h i ב ר ו ק י b r o s n a n ב ר ו ס נ א ן b u i n s k ב ו י נ ס ק b u l e n t ב ו ל נ ט b u n d y ב נ ד י b u n r a k u ב ו נ ר א ק ו b u n t i n g ב א נ ט י נ ג b u z a u ב ו ז א ו c . ק . c a f u ק א פ ו c a h i l l ק א ה י ל c a l c u t t a ק א ל ק ו ט א c a l d e r a ק א ל ד י ר א c a l l a g h a n ק א ל א ג א ן c a l o u s t e ק א ל ו ס ט c a m u s ק א מ ו c a n n e s ק א ן c a r a c a l l a ק א ר א ק ל א c a r d o ק א ר ד ו c a r l e b a c h ק א ר ל י ב א ך c a r t w r i g h t ק א ר ט ר א י ט c a s t r o ק א ס ט ר ו c a t a l a n i ק א ט א ל א נ י c a u s i o ק א ו ז י ו c e c i l i a ס י ס י ל י א c e l e n t a n o צ ' ל נ ט א נ ו c h a a b o ש ע ב ו c h a d i d ש ד י ד c h a e r u d d i n צ ' א ר ו ד י ן c h a i d a r i ח א י ד א ר י c h a m b e r s ש א מ ב י ר ס c h e n e n e צ ' נ ן c h e s t e r צ ' ס ט ר c h e v r o l e t ש י ב ר ו ל י י c h i c a g o ש י ק א ג ו c h o p i n ש ו פ א ן c h r i s t o p h e ק ר י ס ט ו ף c l a r e n c e ק ל א ר נ ס c l a u d e t t e ק ל ו ד ט c l e o p a t r a ק ל י ו פ א ט ר א c l e v e l a n d ק ל י ב ל א נ ד c o c a r d ק ו ק א ר ד c o c k b u r n ק ו ק ב ו ר ן c o l b e r t ק ו ל ב ר ט c o l f a x ק ו ל פ א ק ס c o l v i n ק ו ל ו ו י ן c o m a n e c i ק ו מ א נ צ ' י c o m b a t ק מ ב א ט c o m p t o n ק ו מ פ ט ו ן c o m t e ק ו מ ט c o n n e s ק ן c o n o r ק ו נ ו ר c o o l i d g e ק ו ל י ד ג ' c o r e y ק ו ר י c o r n t h w a i t e ק ו ר נ ת ו י ט c r i s t i a n ק ר י ס ט י א ן c r i s t o f o r o ק ר י ס ט ו פ ו ר ו c r o s s ק ר ו ס c r o y d o n ק ר ו י ד ו ן c u d i c i n i ק ו ד י צ ' י נ י c u n e o ק ו נ י ו d a m m e ד א ם d a n i l o ד א נ י ל ו d a n n y ד א נ י d a r ד א ר d a r a a ד ר ע א d a r c i s ד א ר ס י ס d a r i u s z ד א ר י ו ש d a s s a u l t ד א ס ו ל ט d e b r a ד י ב ר א d e f o e ד י פ ו d e g a u q u e ד י ג ו ק d e j a n ד י ג ' א ן d e l e u z e ד ל ו ז d e m i s ד י מ י ס d e r w a l l ד י ר ו א ל d i a b a t e ד י א ב י י ט d i a r r a ד י א ר א d i b ד י ב d i b a ד י ב א d i c k e n s ד י ק נ ז d i m o s c h a k i ד י מ ו ש א ק י d j a l m a ג ' א ל מ א d j i l a l i ג ' י ל א ל י d l o u h y ד ל ו ה י d m i t r i e v ד מ י ט ר י י ב d o b s o n ד ו ב ס ו ן d o c k x ד ו ק ס d o d o m a ד ו ד ו מ א d o l i n s k y ד ו ל י נ ס ק י d o m a g k ד ו מ א ק d o n i z e t t i ד ו נ י ז י ט י d o n n a ד ו נ א d o n o v a n ד ו נ ו ב א ן d o o m ד ו ם d o s s e n a ד ו ס י נ א d o u a l a ד ו א ל א d r a c o ד ר א ק ו d r a g n e a ד ר א ג נ י א d r i s s a ד ר י ס א d u d k a ד ו ד ק א d u n c a n ד נ ק א ן d u p a s ד ו פ א ס d u p r e e ד ו פ ר י d u r k o v i c ד ר ק ו ב י ט ש e l a c h i א ל ע ש י e l e f t h e r i o s א ל י פ ת י ר י ו ס e l f r i e d e א ל פ ר י ד י e l l i s o n א ל י ס ו ן e l m a l e h א ל מ א ל ח e l t o n א ל ט ו ן e n d e m o l א נ ד מ ו ל e n t e b b e א נ ט ב ה e r e t r i a א ר י ט ר י א e r i c s o n א ר י ק ס ו ן e s s e n א ס ן e s t o n i a א ס ט ו נ י א e u g e n e י ו ג ' י ן e u g l e n a י ו ג ל י נ א e u r o p a י ו ר ו פ א e v a א י ב א e v g e n y א י ב ג י נ י e v r y t a n i a א ב ר י ט א נ י א f a d l פ א ד ל f a d l a n פ ד ל א ן f a h a d פ ה ד f a k r o u n פ ק ר ו ן f a l t e r m e y e r פ א ל ט ר מ א י ר f a t m i r פ א ט מ י ר f a u l k פ ו ל ק f a u r i s s o n פ ו ר י ס ו ן f a u s t i n o פ ו ס ט י נ ו f e d e r e r פ ד ר ר f e d o r פ י ד ו ר f e i n g o l d פ א י נ ג ו ל ד f e r r e i r a פ י ר י י ר א f i a s c o פ י א ס ק ו f i n i d i פ י נ י ד י f i n n a n פ י נ א ן f l e t c h e r פ ל י ט ש י ר f o n t a n a פ ו נ ט א נ א f o r r e s t e r פ ו ר ס ט ר f o r t u y n פ ו ר ט ו י ן f o u r e s t פ ו ר י ס ט f r a n c i n i פ ר א נ ש י נ י f r a n c k פ ר א נ ק f r a n k i e פ ר א נ ק י f r a n t i s e k פ ר א נ ט י ס ק f r a n z פ ר א נ ז f r e d d y פ ר י ד י f r e d r i k s s o n פ ר י ד ר י ק ס ו ן f u l c i פ ו ל ק י g a g a ג א ג א g a j d ů s e k ג א י ד ו ס י ק g a l l a ג א ל א g a n j a v i ג א נ ג ' א ו י g a n n ג א ן g a r b a ג א ר ב א g a r d e ג א ר ד g a r d n e r ג א ר ד נ ר g a r m e n d i a ג א ר מ נ ד י א g a s c o i g n e ג א ס ק ו י ן g a s p a r d ג א ס פ א ר g a u t a m a ג ו ט א מ א g a v r i i l ג א ב ר י ל g e n n a d i ג י נ א ד י g e r a l d ג ' ר א ל ד g e s h e r ג ש ר g h a s s a n ג ס א ן g i a g n o n i ג ' א נ י ו נ י g i b s o n ג י ב ס ו ן g i l l e s p i e ג י ל י ס פ י g i l l o ג י ל ו g i o r g i ג י ו ר ג י g l e i c k ג ל י ק g l y n n ג ל י ן g o d w i n s o n ג ו ד ו י נ ס ו ן g o f m a n ג ו פ מ א ן g o g h ג ו ג g o l d i n g ג ו ל ד י נ ג g o l g i ג ו ל ג י g o l m o h a m m a d i ג ו ל מ ו ח מ ד י g o m i s ג ו מ י ס g o n n o h y o e ג ו נ ו ה י ו g o r l i t z ג ו ר ל י ץ g o s h ג ו ש g o t o ג ו ט ו g o t t f r i e d ג ו ט פ ר י ד g r a e m e ג ר א ם g r a n d e ג ר א נ ד g r e n ג ר י ן g r e t a ג ר י ט א g r i m o n p o n ג ר י מ ו נ פ ו ן g u a d e l o u p e ג ו א ד ל ו פ g u a r n e r i ג ו א ר נ י י ר י g u e r n s e y ג י ר נ ז י g u e y e ג ו י י g u i l l e r m o ג ו י ל י ר מ ו g u o j o h n s e n ג ו ג ' ו נ ס ו ן g u r s e l ג ו ר ס ל g u t z k o w ג ו ט ס ק ו ב g y u l a ג י ו ל א h a a n ה א ן h a a s ה א ס h a d a d ח ד א ד h a h n ה א ן h a j d u k ה א י ד ו ק h a k i k a r ה א ק י ק א ר h a l ה א ל h a l h u l ח ל ח ו ל h a l l ה ו ל h a l l s ה א ל ז h a m a g u c h i ה א מ א ג ו צ ' י h a m e d ח א מ ד h a n a n i a ח נ א נ י א h a n i ה א נ י h a n n s ה א נ ס h a p p e l ה א פ ל h a r b i n ה א ר ב י ן h a r g r e a v e s ה א ר ג ר י ב ז h a r i ה א ר י h a r v e y ה א ר ב י h a r y a n a ה א ר י א נ א h a s s a n ח ס ן h a y a m i ה א י א מ י h a y k e l ה א י ק ל h e a t o n ה י ט ו ן h e i n t j e ה א י ן h e m i n g w a y ה מ י נ ג ו ו י h e n d r i e ה י נ ד ר י h e s s ה ס h e s t e r ה ס ט ר h e s t i a ה ס ט י א h e u r e l h o ה ו ר י ל ה ו h e y n c k e s ה י נ ק ס h i d a l g o ה י ד א ל ג ו h i e l e ה י ל י h i j a b ח ' י ג א ב h i k m e t ח י ק מ ט h i l d i t c h ה י ל ד י ט ש h i l l i n g d o n ה י ל י נ ג ד ו ן h i n t e r m a i e r ה י נ ט ר מ א י ר h i r o f u m i ה י ר ו פ ו מ י h i r o s h i m a ה י ר ו ש י מ א h o l g u i n ה ו ל ג ו י ן h o l l e r i t h ה ו ל י ר י ת h o m a i d a n ח ו מ י ד א ן h o m n a b a d ה ו מ נ ב א ד h o o d i a ה ו ד י א h o o k e ה ו ק h o r i z o n t e ה ו ר י ז ו נ ט י h o s n i ח ו ס נ י h o s s a m ח ו ס א ם h o u l l i e r ה ו ל י י ה h r a n t ה ר א נ ט h r u b e s c h ה ר ו ב ש h u m b e r t o ה ו מ ב י ר ט ו h u n k e ה ו נ ק ה h u n t ה א נ ט h u s n i ח ו ס נ י h u t c h i s o n ה א צ ' י ס ו ן i d a h o א י ד א ה ו i g a r a s h i א י ג א ר א ש י i g n a c א י ג נ ץ i n d i u m i i i א נ ד י ו מ י i n m a r s a t א י נ מ א ר ס א ט i r i n a א י ר י נ א i r v i n e א י ר ב א י ן i s a b e l l e א י ז א ב ל i s h t a r א ש ט א ר i v a n o v i c א י ב א נ ו ב י ט ש i v a n o v o א י ב א נ ו ב ו j a a s k e l a i n e n י א ס ק י ל א י נ ן j a c m o t ג ' א ק מ ו ט j a c q u e l i n e ג ' א ק ל י ן j a h a n ג ' ה א ן j a n u s z י א נ ו ש j a r d e l ג ' א ר ד ל j a r o s l a w י א ר ו ס ל ו j a u r s ג ' א ו ר ס j a v i e r ח א ב י י ר j e f f e r s o n ג ' פ י ר ס ו ן j e r o m e ג ' ר ו ם j i g o r o ג ' י ג ו ר ו j o a q u i n ג ' ו א ק י ן j o c e l y n e ג ' ו ס ל י ן j o e y ג ' ו י j o h n n y ג ' ו נ י j o l ג ' ו ל j o r g ג ' ו ר ג j o s ג ' ו ס j o s c h k a י ו ש ק א j o s e p h s ג ' ו ס י פ ז j o y a ג ' ו י א j u a n a ח ו א נ א j u p p י ו פ j u r g י ו ר ג j u r o t a ג ' ו ר ו ט א k a b i l ק א ב י ל k a d a r ק א ד א ר k a h w a j i ק ה ו ו ג ' י k a i a f a s ק א י א פ א ס k a k h i ק ק י k a l a f ק א ל א ף k a l l a ק א ל א k a m e l ק א מ ל k a m p f ק א מ פ ף k a p a d z e ק א פ א ד ז ה k a p o ק א פ ו k a t a y a m a ק א ט א י א מ א k a t i e ק י י ט י k a t o n g o ק א ט ו נ ג ו k a t z i r ק צ י ר k a t z r i n ק צ ר י ן k a z a n ק א ז א ן k a z u h i k o ק א ז ו ה י ק ו k e a n e ק י ן k e a t o n ק י ט ו ן k e a t s ק י ט ס k e i ק י י k e i j i ק י י ג ' י k e k e t i ק ק י ט י k e l l e y ק י ל י k e n j i ק נ ג ' י k e n t ק נ ט k e r a l a ק י ר א ל א k e r t e s z ק י ר ט י ז k h a l a f ח ל ף k h a s h o g g i ח א ש ו ג י k h u w a y l i d ח ו א י ל ד k i j u r o ק י ג ' ו ר ו k i n g s t o n ק י נ ג ס ט ו ן k i n n o c k ק י נ ו ק k i n s e y ק י נ ז י k i r i ק י ר י k i r o v ק י ר ו ב k i s s i n g e r ק י ס י נ ג ' ר k i t t s ק י ט ס k n i p p e r ק נ י פ ר k n u t ק נ ו ט k o l ק ל k o l k a t a ק ל ק ט א k o t o k o ק ו ט ו ק ו k o y a m a d a ק ו י א מ א ד א k o z y n k e v y c h ק ו ז י נ ק י ב י ט ש k r i s h n a ק ר י ש נ א k r i s t i n ק ר י ס ט י ן k r o t o ק ר ו ט ו k u r o d a ק ו ר ו ד א k w a m e ק ו א מ י k y l e ק א י ל l a f u e n t e ל א פ ו י נ ט י l a n c a s t e r ל א נ ק ס ט ר l a n c e ל א נ ס l a n e s e ל א נ י ז י l a n g t o n ל א נ ג ט ו ן l a r i j a n i ל א ר י ג ' א נ י l a s z l o ל א ס ז ל ו l a t i n s ל א ט י נ ז l a u r i d s e n ל א ו ר י ד ס ן l a z a r o ל א ז א ר ו l e a r ל י ר l e e k e n s ל י ק נ ז l e g i a ל י ג י א l e h m a n n ל י ה מ א ן l e n ל ן l e n z ל י נ ז l e o ל י א ו l e o n h a r d ל י ו נ ה א ר ד l e p i n e ל י פ א י ן l e u v e n ל ו ב י ן l i e b e r m a n ל י ב ר מ א ן l i m a s s o l ל י מ א ס ו ל l i p t o n ל י פ ט ו ן l i s a ל י ס א l i t h u a n i a ל י ת ו א י נ י ה l i v n i ל י ב נ י l i z a ל י ז א l j u b o m i r ל י ו ב ו מ י ר l o c o ל ו ק ו l o m e ל ו ם l o r e n z o ל ו ר י נ ז ו l o v e ל ו ב l o w ל ו l u b i t s c h ל ו ב י ט ש l u o l ל ו א ל l y o n n a i s ל י ו נ ה m a a r o u f מ ע ר ו ף m a a t h a i מ א ת א י m a c k i n n o n מ א ק י נ ו ן m a d e l u n g מ א ד ל ו נ ג m a d o n o מ א ד ו נ ו m a g a l h a e s מ א ג א ל ה א י ז m a h m u d i מ ח מ ו ד י m a i a מ א י א m a j a l l i מ ג ' ל י m a j e d מ ג ' ד m a k i מ א ק י m a l a t e s t a מ א ל א ט י ס ט א m a l t a מ א ל ט א m a n d a l a מ א נ ד א ל א m a n z o n i מ א נ ז ו נ י m a r c e l מ א ר ס ל m a r c e l l מ א ר ס י ל m a r c i a n מ א ר ק י א ן m a r i c מ א ר י ק m a r k o מ א ר ק ו m a s c h e r a n o מ א ס ק י ר א נ ו m a s l y o n k i n מ א ס ל י ו נ ק ן m a s u d i מ א ס ו ד י m a t s u d a מ א ט ס ו ד א m a t s u i מ א ט ס ו י m a v r o s מ א ב ר ו ס m a x i m i l i e n מ א ק ס מ ל י א ן m a y מ י י m a y u m i מ א י ו מ י m c a u l i f f e מ א ק א ו ל י ף m c k e n n a מ א ק ק י נ א m c q u e e n מ א ק ק ו י ן m e c h n e r מ ק נ ר m e h r d a d מ ה ר ד א ד m e h r z a d מ ה ר ז א ד m e j d i מ ג ' ד י m e m p h i s מ מ פ י ס m e n a מ נ א m e n d e l מ נ ד ל m e n g e l e מ נ ג ל ה m e n s a h מ י נ ס א ה m e r מ ר m e s h a l מ ש ע ל m e s s a l i מ ס א ל י m e s s i מ ס י m e t g o d מ י ט ג ו ד m e t z e l d e r מ צ ל ד ר m e y r i e u מ י ר י ו m i d o r i k a w a מ י ד ו ר י ק א ו א m i e s c h e r מ י ש ר m i h a i l מ י ה א י ל m i h a l y מ י ה א ל י m i k h a i l מ י כ א י ל m i k h e i l מ י כ א י ל m i l a d מ י ל א ד m i l i b a n d מ י ל י ב א נ ד m i l n e r מ י ל נ ר m i l o s מ י ל ו ש m i l o u d מ י ל ו ד m i n g y i מ י נ ג י m i n n i e מ י נ י m i r i מ י ר י m i s s a o u i מ י ס א ו י m i t c h e l l מ י ט ש ל m i t i c מ י ט י ט ש m i t t a l מ י ט א ל m i t t e r r a n d מ י ט י ר א ן m l a đ a n מ ל א ד י א ן m o d e s t e מ ו ד י ס ט י m o e n e e b מ ו נ י ב m o h a j e r a n i מ ו ה א ג ' ר א נ י m o l d o v a מ ו ל ד ו ב א m o m c i l o מ ו מ ס י ל ו m o m m s e n מ ו מ ס ן m o n i z מ ו נ י ז m o n t c o u r t מ ו נ ט ק ו ר ט m o n t e מ ו נ ט י m o n t e s s o r i מ ו נ ט י ס ו ר י m o n t e z מ ו נ ט י ז m o r e l l o מ ו ר י ל ו m o r i t a מ ו ר י ט א m o r p h y מ ו ר פ י m o r r e l l מ ו ר ל m o r t y מ ו ר ט י m o s l e m מ ו ס ל ם m o s l e y מ ו ז ל י m o t o k o מ ו ט ו ק ו m o u m o u n i מ ו מ ו נ י m o u n i r מ ו נ י ר m o z a m b i q u e מ ו ז א מ ב י ק m s a r r i מ ס א ר י m u b a r a k מ ו ב א ר ק m u d i n g a y i מ ו ד י נ ג א י m u k e r j i מ ו ק ר ג ' י m u l i l o מ ו ל י ל ו m u n i t i s מ ו נ א י ט י ס m u n k מ נ ק m u n t y a n מ ו נ ט י א ן m u r a t מ ו ר א ט m u r i e l מ ו ר י א ל m u t r a n מ ו ט ר א ן m y a n m a r מ י א נ מ א ר n a d a v נ ד ב n a d i n e נ י י ד י ן n a e i m נ ע י ם n a g a l a n d נ א ג א ל א נ ד n a h u a t l נ א ה ו א ט ל n a i k נ א י ק n a m b u נ א מ ב ו n a o h i r o נ א ו ה י ר ו n a r r i m a n נ א ר י מ א ן n a t a l i e נ א ט א ל י n a t o נ א ט ו n a v a r r e נ א ב א ר n a v e h נ ו ה n a z i f נ ז י ף n e g r i l a נ ג ר י ל א n e i l נ י ל n e s s i m נ ס י ם n e t a f i m נ ט פ י ם n e u v i l l e נ ו ב י ל n i c e p h o r e נ י ס י פ ו ר n i c k e l b a c k נ י ק י ל ב ק n i k o נ י ק ו n i k o l a o u נ י ק ו ל א ו n i n o נ י נ ו n i r נ י ר n o n a c o s a n e נ ו נ א ק ו ס י י ן n o o r נ ו ר n o r m a n d y נ ו ר מ א נ ד י n o r r i e נ ו ר י n o s t r a d a m u s נ ו ס ט ר א ד א מ ו ס n u s s b a u m נ ו ס ב א ו ם n w a n k w o נ ו א נ ק ו n y a t h i נ י א ת י o c t o n i o n א ו ק ט ו נ י ו ן o f a k i m א ו פ ק י ם o f r a ע פ ר ה o g o g o א ו ג ו ג ו o s a n o א ו ס א נ ו o s m a n ע ו ס מ א ן o s t r a v a א ו ס ט ר א ב א o s v a l d o א ו ס ב א ל ד ו o u a r z a z a t e ו ר ז א ז א ת p a l a h n i u k פ א ל א נ י ו ק p a l m i n t e r i פ א ל מ י נ ט ר י p a n a פ א נ א p a n a d o l פ א נ א ד ו ל p a r a c e t a m o l פ א ר א ס י ט א מ ו ל p a r o פ א ר ו p a r t i z a n פ א ר ט י ז א ן p a s a n s k i פ א ס א נ ס ק י p a s s a r e l l a פ א ס א ר י ל א p a t e r s o n פ א ט ר ס ו ן p a t i l פ א ט י ל p a t t a y a פ א ט א י א p a u l פ ו ל p a y n e פ י י ן p e n n a c פ נ א ק p e r l פ י ר ל p e r r y פ י ר י p i a t r a פ י א ט ר א p i a u i פ י א ו י p i c a s s o פ י ק א ס ו p i c c a d i l l y פ י ק א ד י ל י p i c k e t t פ י ק י ט p i n e l פ י נ י ל p i n k פ י נ ק p i n o c h e t פ י נ ו ש ה p i s t o i a פ י ס ט ו י א p i s z c z e k פ י ז ש י ק p o c h e t t i n o פ ו ט ש י ט י נ ו p o l a t פ ו ל א ט p o l l a r d פ ו ל א ר ד p o l l o c k פ ו ל ו ק p o p e פ ו פ p o s e i d o n פ ו ס י ד ו ן p o s t i g a פ ו ס ט י ג א p o t i פ ו ט י p o u r p i r a r פ ו ר פ י ר א ר p r i s c u s פ ר י ס ק ו ס p r o u s t פ ר ו ס ט p u c h n e r פ ו כ נ ר q a s r ק ס ר q u a r e s m a ק ו א ר י ס מ א q u s a y ק ו ס י י r a b u e l ר א ב ו א ל r a e f ר א א ף r a g e h ר א ג ח r a h e l ר א ח י ל r a h m a t i ר א מ א ט י r a j a b ר ג ' ב r a m a ר א מ א r a m a m u r t h y ר א מ א מ ו ר ת י r a m i r e s ר א מ י ר ס r a p o p o r t ר א פ ו פ ו ר ט r a s a ר א ס א r a s h a d ר ש א ד r a s h e d ר א ש ד r a s h o m o n ר א ש ו מ ו ן r a t k o ר א ט ק ו r a t s ר א ט ס r e e d ר י ד r e i c h s ר י ק ס r e i d ר י ד r e i n e r ר א י נ ר r e i t s c h ר א י ט ש r e n a t e ר י נ א ט r e p e t t o ר י פ י ט ו r e t o ר י ט ו r e u v e n ר א ו ב ן r i c c a r d o ר י ק א ר ד ו r i c h a r d s o n ר י צ ' א ר ד ס ו ן r i e d l ר י ד ל r i j k a a r d ר י ק א ר ד r i t t ר י ט r i z a l ר י ז א ל r o b b i e ר ו ב י r o b e s o n ר ו ב ס ו ן r o b i n h o ר ו ב י נ ה ו r o b r e d o ר ו ב ר י ד ו r o c c h i ר ו ק י r o l e d e r ר ו ל ד ר r o l f f ר ו ל ף r o m e o ר ו מ י ו r o s e n b l u m ר ו ז נ ב ל ו ם r o s h ר ו ש r o t a n a ר ו ט א נ א r o t h s c h i l d ר ו ת ש י ל ד r o u d o l p h e ר ו ד ו ל ף r o u s s e a u ר ו ס ו r o w a n ר ו א ן r u b e n ר ו ב ן r u l f o ר ו ל פ ו r u m s f e l d ר א מ ס פ י ל ד r y o m a ר י ו מ א s a b a ס א ב א s a b a t ס א ב א ט s a d a k o ס א ד א ק ו s a d l e r ס א ד ל ר s a f i n ס א פ י ן s a k i m o t o ס א ק י מ ו ט ו s a l a h ס ל א ח s a l m e e n ס א ל מ י ן s a l v a d o r e ס א ל ב א ד ו ר s a m i r ס מ י ר s a m s u n ס א מ ס ו ן s a n a e ס א נ י י s a n g e r ס א נ ג ר s a n g w e n i ס א נ ג ו י נ י s a o ס א ו s a r g o n ס ר ג ו ן s a r i t ש ר י ת s a s a k i ס א ס א ק י s a s s 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ס ו ק י s i d ס י ד s i k o r s k y ס י ק ו ר ס ק י s i l k w o o d ס י ל ק ו ו ד s i l v a ס י ל ב א s i l v e r s t o n e ס י ל ב ר ס ט ו ן s i m o n o v ס י מ ו נ ו ב s i p h a n d o n ס י פ א נ ד ו ן s i s t o ס י ס ט ו s i v o k ס י ב ו ק s k o p j e ס ק ו פ י י s m e r t i n ס מ י ר ט י ן s m i l j a n i c ס מ י ל י א נ י ט ש s n o o p ס נ ו פ s n y d e r ס נ א י ד ר s o d d y ס ו ד י s o d e r b e r g h ס ו ד ר ב י ר ג s o l a n o ס ו ל א נ ו s o p h i a ס ו פ י א s o r r e n t i n o ס ו ר נ ט י נ ו s o u s a ס ו ז א s o y e r ס ו י ר s p a l l a n z a n i ס פ א ל א נ ז א נ י s p e e r ס פ י ר s p i k e ס פ א י ק s p r i n z a k ש פ ר י נ צ ק s t a n k o v i c ס ט א נ ק ו ב י ט ש s t a r r ס ט א ר s t a u n t o n ס ט ו נ ט ו ן s t e k e l e n b u r g ס ט י ק ל נ ב י ר ג s t e p h a n e ס ט י פ א ן s t e r n ס ט י ר ן s t e w a r t ס ט י ו א ר ט s t i f ס ט י ף s t i l i y a n ס ט י ל י א ן s t i p e ס ט י פ s t r a n z l ס ט ר א נ ז ל s t r o e s s n e r ס ט ר ו ס נ ר s t u r t ס ט ו ר ט s u ס ו s u a n ס ו א ן s u c r a l o s e ס ו ק ר ל ו ס s u d o k u ס ו ד ו ק ו s u k h u m i ס ו כ ו מ י s u l i m a n ס ו ל י מ א ן s u l t a n ס ו ל ט א ן s u u ס ו s y a g r i u s ס י א ג ר י ו ס s y l v a ס י ל ב א s z a r m a c h ז א ר מ א ך t a h i r ט א ה י ר t a j u r a ט א ג ' ו ר א t a j w i d ת ג ' ו ו י ד t a k a y a ט א ק א י א t a k e s h i ט א ק י ש י t a m i l ט א מ י ל t a n i t ט א נ י ט t a r a n t i n o ט א ר א נ ט י נ ו t a r e k ט א ר ק t a s h i r o ט א ש י ר ו t a t l i n ט א ט ל י ן t b i l i s i ט ב י ל י ס י t c h o m o g o ט ש ו מ ו ג ו t e i m u r a z ט א י מ ו ר א ז t h a n t ת א נ ט t h e o ת י ו t h e s e u s ת י ס י ו ס t h i j s s e n ת י ס י ן t i g e r ט א י ג ר t i j a n i ט י ג ' א נ י t i n a ט י נ א t i n i a n ט י נ י א ן t i t t a ט י ט א t o b i a s ט ו ב א י א ס t o b i n ט ו ב י ן t o d d ט ו ד t o m a s o ט ו מ א ס ו t o m m y ט ו מ י t o m o u ט ו מ ו t o n e t t o ט ו נ י ט ו t r a b e l s i ט ר א ב ל ס י t r a i a n ט ר א י א ן t r a i l ט ר י י ל t r a v i s ט ר א ב י ס t r e v o r ט ר י ב ו ר t r o s s e r o ט ר ו ס י ר ו t r u j i l l o ט ר ו ג ' י ל ו t r y g v e ט ר י ג ב י t s e p o צ י פ ו t u c c i ט ו צ ' י t u d o r ט ו ד ו ר t u g a y ט ו ג א י t u g e n d h a t ט ו ג נ ד ה א ט t u n i s ט ו נ י ס t u o ט ו t u r n h a m ט ו ר נ ה א ם t u r u n e n ט ו ר ו נ י ן t u s s e a u ט ו ס ו u g y e n י ו ג י י ן u h r l a u א ו ה ר ל א ו u m m א ו ם v a n e s s a ו א נ י ס א v e c c h i o ו י ק צ ' י ו v e n i c e ו נ י ס v e n t e r ו י נ ט ר v e r c i n g e t o r i x ו ר ס י נ ג י ט ו ר י ק ס v e r m e s ו ר מ ס v e s e l i n o v i c ו י ס י ל י נ ו ב י ט ש v e y r o n ו י י ר ו ן v i c e l i c h ו י ס ל י ט ש v i c t o r i a n o ו י ק ט ו ר י א נ ו v i k i n g ו א י ק י נ ג v i t o ו י ט ו v i t o r ו י ט ו ר v i v ו י ו v l a o v i c ו ו ל א ו ו י ט ש v o o r d e c k e r s ו ו ר ד י ק ר ז v o r e a d i s ו ו ר י א ד י ס w a k a m o t o ו א ק א מ ו ט ו w a n g ו א נ ג w a s k e ו א ס ק י w a t h i q 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// Scilab Code Ex12.3 : Page-604 (2011) clc; clear; n = 300;....// Number of turns wound per metre on the solenoid i = 0.5;....// Current through the solenoid, A V = 1e-03;....// Volume of iron rod, per metre cube mu_r = 100; // Relative permeability of the iron H = n*i; // Magnetic intensity inside solenoid, ampere-turn per metre // As, I = (B-mu_o* H)/mu_o //But, B= mu * H = mu_r * mu_o * H and I = (mu_r-1)* H I = (mu_r-1)*n*i; printf("\nThe Intensity of magnetisation inside the solenoid, I = %5.3e A/m", I); l = 0.2;....//length of the rod,m r = 5e-3;....//radius of the rod,m V = 1.57e-5;....//V=%pi*r^2*l where the volume of the rod having radius r and length,m M = I * V ; // Magnetic moment of the rod, ampere metre square printf("\nThe magnetic moment of the rod, M = %5.3f ampere metre square",M) //Result // The Intensity of magnetisation inside the solenoid, I = 1.485e+004 A/m // The magnetic moment of the rod, M = 0.233 ampere metre square
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function Y = f(t, u) Y = [ -u+sin(t)]; endfunction
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main { repeat print(1); until(!(new int [12])); return 1; }
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clear// //Variables V1o=12.5;Vo=12.5; V1in = 1.5 //Input voltage with feedback (in volts) Vin = 0.25 //Input voltage without feedback (in volts) //Calculation Av = Vo / Vin //Voltage gain without negative feedback A1v = V1o / V1in //Voltage gain with negative feedback beta = (Av/A1v - 1) / Av //feedback ratio //Result printf("\n The value of voltage gain without negative feedback is %0.3f .\nThe value of voltage gain with negative feedback is %0.2f .\nThe value of beta is %0.3f .",Av,A1v,beta)
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// To calculate the critical clearing angle for the condition described. clear clc; sindo=.5; d0=asind(sindo)*%pi/180; r1=.2; r2=.75; sindm=.5/.75; d=asind(sindm); cosdm=cosd(d); dm=%pi*(180-(asind(sindm)))/180; Dc=((.5*(dm-d0))-(r2*cosdm)-(r1*cosd(d0)))/(r2-r1); dc=acosd(Dc);// critical angle mprintf("The critical clearing angle is given by=%.2f degrees",dc);//Answers don't match due to difference in rounding off of digits
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Ex7_9.sce
// Initilization of variabes b=0.1 //m //width of the belt t=0.008 //m //thickness of the belt v=26.67 // m/s // belt speed pie=3.14 // constant beta=165 // radian // angle of lap for the smaller belt mu=0.3 // coefficient of friction sigma_max=2 // MN/m^2 // maximum permissible stress in the belt m=0.9 // kg/m // mass of the belt g=9.81 // m/s^2 e=2.718 // constant // Calculations A=b*t // m^2 // cross-sectional area of the belt T_e=m*v^2 // N // where T_e is the Centrifugal tension T_max=(sigma_max)*(A)*(10^6) // N // maximum tension in the belt T1=(T_max)-(T_e) // N T2=T1/(e^((mu*pie*beta)/180)) //N // from formulae T1/T2=e^(mu*beta) P=(T1-T2)*v*(10^-3) //kW // Power transmitted T_o=(T1+T2)/2 // N // Initial tension // Now calculations to transmit maximum power Te=T_max/3 // N // max tension u=sqrt(T_max/(3*m)) // m/s // belt speed for max power T_1=T_max-Te // N // T1 for case 2 T_2=T_1/(e^((mu*pie*beta)/180)) // N P_max=(T_1-T_2)*u*(10^-3) // kW // Max power transmitted // Results clc printf('The initial power transmitted is %f kW \n',P) printf('The initial tension in the belt is %f N \n',T_o) printf('The maximum power that can be transmitted is %f kW \n',P_max) printf('The maximum power is transmitted at a belt speed of %f m/s \n',u)
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//// //Variable Declaration R = 8.314 //Ideal Gas Constant, J/(mol.K) T = 298 //Temperature of Gas, K M = 0.044 //Molecular wt of CO2, kg/mol P = 101325 //Pressure, N/m2 NA = 6.022e23 //Number of particles per mol sigm = 5.2e-19 //m2 //Calculations zCO2 = (P*NA/(R*T))*sigm*sqrt(2)*sqrt(8*R*T/(%pi*M)) //Results printf("\n Single particle collisional frequency is %4.1e per s",zCO2)
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Tj=150; Ts=25; Pw=15; Rthjs=(Tj-Ts)/Pw; //Junction-to-solder point resistance Rthca=2; Rthhs=10; Ta=60; Rthtot=Rthjs+Rthca+Rthhs; //total thermal resistance Pth=(Tj-Ta)/(Rthtot); //dissipated power disp("Watts",Pth,"Maximum dissipated power");
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// The code was developed under Horizon2020 Framework Programme // Project: 748767 — SIMFREE function [y,Index,MaxCo]=SSSeSampling(x,xref,Index) // Sampling and time shifting // // Calling Sequence // [x,Index,MaxCo]=SSSeSampling(x,xref,Index) // // Parameters // x : Input Sequence // xref : Reference Sequence // y : Output Sampled Sequence // MaxCo : Maximum Correlation // Index : Index of MaxCo // // Description // Shifts Input Sequence to obtain maximum correlation with oryginal source sequence. Decimate // global MNS MNT; [lhs,rhs] = argn(0); if rhs < 2 then error("Expect at least one argument"); end m = MNT/MNS; k = 2*log2(MNS)*m;//length of correlator x1 = x(1:k); x1 = [x1;x1]; Co = zeros(k,1); A = real(xref(1:k)); if rhs < 3 then for j = 1:k Co(j) = abs(correl(A, real(x1(j:j+k-1)))); end [MaxCo,Index]=max(Co); else MaxCo = abs(correl(A, real(x1(Index:Index+k-1)))); end Index=Index+m/2; x = [x;x]; x = x(Index:Index+MNT-1); y = x(1:m:MNT); endfunction
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clc(); clear; // To calculate the hysterisis loss per cycle A=100; //area of hysteris loop in m^2 B=0.01; //flux density in wb/m^2 H=40; //magnetic field in amp/m M=7650; //atomic weight in kg/m^3 hl=A*B*H; printf("the hysterisis loss per cycle is %f J/m^3",hl);
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errcatch(-1,"stop");mode(2);; all; lamda=5461*1e-10;//wavelength of light n=8;//no of frings t=6*1e-6;//in meter u=((n*lamda)/(2*t))+1;//refractive index of material disp(u,'refractive index of material ='); exit();
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load Xor.hdl, output-file Xor.out; output-list z; set a 0, set b 0, eval, output; set a 0, set b 1, eval, output; set a 1, set b 0, eval, output; set a 1, set b 1, eval, output;
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clc clear //Input data f=0.03;//The residual fraction of an engine e=1.2;//The equivalence ratio //Calculations F=0.0795;//Fuel/air ratio for corresponding equivalence ratio T=1+F;//Total mass in kg fa=1-f;//Fresh air in kg ff=F*(fa);//Fresh fuel in kg ra=f;//Air in residual in kg rf=ra*F;//Fuel in residual in kg //Output printf('Fresh air = %3.2f kg \n Fresh fuel = %3.6f kg \n Air in residual = %3.2f kg \n Fuel in residual = %3.6f kg ',fa,ff,ra,rf)
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// Example 3_3 clc;funcprot(0); //Given data L=[100 160 80 40 20];// Load in MW T_1=[6,10];// Time in hours T_2=[10,18];// Time in hours T_3=[18,20];// Time in hours T_4=[20,24];// Time in hours T_5=[0,6];// Time in hours n_th=[30 35 25 15 10]/100;// The thermal efficiencies of the plant n_p=80;// The efficiency of the pump in % n_t=90;// The efficiency of the turbine in % // Calculation //(a) T_p=[0 0 4 4 12 12 14 14 18 18 24 24];// Time in hours for load curve L_p=[0 100 100 160 160 80 80 40 40 20 20 100];// Load in MW for load curve plot(T_p',L_p','b'); a=gca(); a.x_ticks.labels=["6 A.M","","","12 P.M","","","6 A.M","","","12 P.M","","","6 A.M"]; a.x_ticks.locations=[0;2;4;6;8;10;12;14;16;18;20;22;24]; O=(L(1)*(T_1(2)-T_1(1)))+(L(2)*(T_2(2)-T_2(1)))+(L(3)*(T_3(2)-T_3(1)))+(L(4)*(T_4(2)-T_4(1)))+(L(5)*(T_5(2)-T_5(1)));// Total output per day in MW-hrs I_1= ((L(1)*(T_1(2)-T_1(1)))/(n_th(1)))+((L(2)*(T_2(2)-T_2(1)))/(n_th(2)))+((L(3)*(T_3(2)-T_3(1)))/(n_th(3)))+((L(4)*(T_4(2)-T_4(1)))/(n_th(4)))+((L(5)*(T_5(2)-T_5(1)))/(n_th(5)));// The input to the thermal plant in MW-hrs n_o1=(O/I_1)*100;// Over all efficiency in % //(b) n_op=(n_p/100)*(n_t/100)*100;// The over all efficiency of the pump storage plant in % // From the Fig.Prob.3.3 function[X]=baseload(y) X(1)=((((y(1)-L(3))*(T_3(2)-T_3(1)))+((y(1)-L(4))*(T_4(2)-T_4(1)))+((y(1)-L(5))*(T_5(2)-T_5(1))))*(n_op/100))-(((L(1)-y(1))*(T_1(2)-T_1(1)))+((L(2)-y(1))*(T_2(2)-T_2(1)))); endfunction y=[10]; z=fsolve(y,baseload); x=(z(1));// The capacity of the thermal plant in MW X=[x x x x x x x x x x x x];//The capacity of the thermal plant in MW for plot xlabel('Time in hrs'); ylabel('Load in MW'); plot(T_p',L_p','b',T_p',X','b-.'); legend('Load curve','Base load thermal plant'); I_2=(x*24)/(n_th(2));// The energy supplied in the second case in MW-hrs n_o2=(O/I_2)*100;// The over all efficiency of the combined plant in % PI=((I_1-I_2)/I_1)*100;// The percentage saving in input in % printf('\n(a)The total input to the thermal plant=%0.0f MW-hrs \n(b)The percentage saving in input to the plant=%0.2f percentage \n(c)The over all efficiency of the thermal plant=%0.1f percentage \n The over all efficiency of the combined plant=%0.0f percentage',I_1,PI,n_o1,n_o2); // The answer vary due to round off error
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//Variable declaration: TH = 140.0+460.0 //Absolute outside temperature of pipe (ft^2) TC = 60.0+460.0 //Absolute temperature of surrounding atmosphere (ft^2) A = 10.0 //Area of pipe (ft^2) E = 0.9 //Emissivity of pipe //Calculation: Q = E*A*0.173*((TH/100.0)**4-(TC/100.0)**4) //Heat loss due to radiation (Btu/h) Q = round(Q*10**-1)/10**-1 //Result: printf("The heat loss due to radiation is : %f Btu/h.",Q)
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// Scilab code Ex5.22: Pg:230 (2008) clc;clear; Lambda_1 = 6708e-008; // Wavelength, Angstorm Lambda_2 = 6438e-008; // wavelength, Angstorm n = 2; // Order of diffraction mu_1 = 1.5400; // Refractive index index of material mu_2 = 1.5412; // Refractive index index of material D = (mu_2 - mu_1)/(Lambda_1 - Lambda_2); // Dispersion of the material of the grating, per cm aplusb = n/D; // Size of the grating interval, cm printf("\nThe size of the grating interval = %3.1e cm", aplusb); // Result // The size of the grating interval = 4.5e-003 cm // The answer is given wrong in the textbook
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//chapter9 //example9.12 //page153 Vdc=50 // V rf=25 // ohm Rl=800 // ohm // Vdc=Idc*Rl and Idc=Im/%pi so // Vdc=Im*Rl/%pi // but Im=Vm/(rf+Rl) so // Vdc=Vm*Rl/(%pi*(rf+Rl)) // making Vm as subject we get Vm=Vdc*%pi*(rf+Rl)/Rl printf("ac voltage required = %.1f V \n",Vm)
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//Function migration (image list to matrix) for: canny //Generated by migrate.cpp //Author: Anirudh Katoch function res = canny(varargin) select length(varargin) case 05 then res = il2mat(raw_canny(mat2il(varargin(01)), varargin(02), varargin(03), varargin(04), varargin(05))) else error(39) end endfunction
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function meshOutput = New_Mesh(varargin) //Generate New Mesh structure meshOutput.mVertices = []; meshOutput.iIndices = []; select argn(2) case 1; iX_Count = varargin(1).iX_Count; iY_Count = varargin(1).iY_Count; for i = 0:iY_Count - 1 for j = 1:iX_Count iTriBuffer($+1, 1) = i * iX_Count + j; iTriBuffer($, 2) = i * iX_Count + j + 1; iTriBuffer($, 3) = (i + 1) * iX_Count + j; iTriBuffer($+1, 1) = (i + 1) * iX_Count + j + 1; iTriBuffer($, 2) = (i + 1) * iX_Count + j; iTriBuffer($, 3) = i * iX_Count + j + 1; end end mVertices = GridToList(varargin(1).mX, varargin(1).mY) meshOutput.mVertices = mVertices; meshOutput.iIndices = iTriBuffer; case 2; meshOutput.mVertices = varargin(1); meshOutput.iIndices = varargin(2); case 3; else end endfunction
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clc;clear; //Example 25.7 //calculation of product of two binary numbers //given values X='10101';//first binary number with last two digits in fractional part Y='101';//second binary number with last two digits in fractional part //calculation x=bin2dec(X);//decimal equivalent y=bin2dec(Y);//decimal equivalent z=x*y; Z=dec2bin(z); disp(Z,'product of the given binary numbers is ')
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//CHAPTER 12 ILLUSRTATION 8 PAGE NO 320 //TITLE:Balancing of reciprocating of masses clc clear pi=3.141 N=1800// speed of the engine in rpm r=6// length of crank in cm l=24// length of connecting rod in cm m=1.5// mass of reciprocating cylinder in kg //==================== w=2*pi*N/60// angular speed in rad/s UPC=.019*w^2// unbalanced primary couple in N-m n=l/r// ratio of length of crank to the connecting rod USC=.054*w^2/n// unbalanced secondary couple in N-m printf('unbalanced primary couple= %.3f N-m\n unbalanced secondary couple=%.3f N-m',UPC,USC)
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// example 5.6// clc //clears the screen// clear //clears all existing variables// disp("we can SIMPLIFY the given equation as : "); disp('A+B=(A''''+B'''')[INVOLUTION LAW]' ); disp(' =(A''.B'')''' ) disp('[(AA)''.(BB)'']''') disp('this says that output Y equals to A+B' );
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clear; clc; //Example 12.11 hFE=100;//transistor parameter Vbe=0.7; Vcc=10; R1=55; R2=12; Re=1; Rc=4; Rl=4; Icq=0.983; Vceq=5.08; Vt=0.026; r=hFE*Vt/Icq; printf('\nsmall signal parameter resistance=%.2f KOhm\n',r) gm=Icq/Vt; printf('\ntransconductance=%.3f mA/V\n',gm) Agf=-gm*(Rc/(Rc+Rl))/(1+Re*(gm+1/r)); printf('\ntransconductance transfer function=%.3f mA/V\n',Agf) //as first approximation Agf2=-1/Re; printf('\nAgf=%.2f mA/V\n',Agf2) Avf=Agf*Rl; printf('\nvoltage gain=%.2f\n',Avf)
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clear; //clc(); // Example 3.6 // Page: 58 printf("Example-3.6 Page no.-58\n\n"); //***Data***// P = 760;//[mm Hg] x_b = 0.8;// Mole fraction of benzene in liquid phase x_t = 0.2;// Mole fraction of toluene in liquid phase // We will take the help of trial and error method to solve this problem // From the table A.2 ( page 418 ), Antoine equation constants for benzene are A_b = 6.90565; B_b = 1211.003; C_b = 220.79; // and that for the toluene are A_t = 6.95334; B_t = 1343.943; C_t = 219.337; T = 82;//[C] err = 1 while err > 10^(-3) p_b = 10^(6.90565 - 1211.003/(T + 220.79)); p_t = 10^(6.95334 - 1343.943/(T + 219.337)); y_b = x_b*p_b/P; y_t = x_t*p_t/P; err = abs((y_b + y_t) - 1); T = T + 0.01; end printf(" The temperature at which the given benzene-toluene mixture will have vapor pressure of 1 atm is %0.3f deg C",T);
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pathname=get_absolute_file_path('4_25.sce') filename=pathname+filesep()+'4_25data.sci' exec(filename) T=0.37*x/Re^0.2;disp(T,"T=","T=0.37*x/Re^0.2","Thickness at trailing edge T:"); Df=q*S*Cf;disp(Df,"Df=","Df=q*S*Cf","Drag at top surface") printf("\Answer:\n") printf("\n\Thickness at trailing edge: %f m\n\n",T) printf("\n\Total Drag: %f N",2*Df)
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clear //Given Rh=1.097*10**7 //Calculation l=4/Rh //Result printf("\n Shortest wavelength is %0.0f A",l*10**10)
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errcatch(-1,"stop");mode(2);// Example 5.17, page no-316 r=150 v=120 Q=4*v*r printf(" Volume flow rate Q=%d cm^3/min = %d litres/min",Q,Q/1000) exit();
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function makehtml(htmlfile, datamatrix) fh = mopen(htmlfile,'wt'); mfprintf(fh,' <html>\n'); mfprintf(fh,' <head>\n'); mfprintf(fh,' <script type='"text/javascript'" src='"https://www.google.com/jsapi'"></script>\n'); mfprintf(fh,' <script type='"text/javascript'">\n'); mfprintf(fh,' google.load('"visualization'", '"1'", {packages:['"corechart'"]});\n'); mfprintf(fh,' google.setOnLoadCallback(drawChart);\n'); mfprintf(fh,' function drawChart() {\n'); mfprintf(fh,' var data = google.visualization.arrayToDataTable([\n'); mfprintf(fh,' ["'Feature 1"', "'Feature 2"'],\n'); mfprintf(fh,' '); for i = 1 : size(datamatrix,2) mfprintf(fh,'[%1.5f, %1.5f]',datamatrix(1,i),datamatrix(2,i)); if (i ~= size(datamatrix,2)) mfprintf(fh,', '); end end mfprintf(fh,'\n'); mfprintf(fh,' ]);\n'); mfprintf(fh,' \n'); mfprintf(fh,' var options = {\n'); mfprintf(fh,' title: "'User Features"',\n'); mfprintf(fh,' hAxis: {title: "'Feature 1"', minValue: -2.9, maxValue: 2.9},\n'); mfprintf(fh,' vAxis: {title: "'Feature 2"', minValue: -2.9, maxValue: 2.9},\n'); mfprintf(fh,' legend: "'none"'\n'); mfprintf(fh,' };\n'); mfprintf(fh,' \n'); mfprintf(fh,' var chart = new google.visualization.ScatterChart(document.getElementById("'chart_div"'));\n'); mfprintf(fh,' chart.draw(data, options);\n'); mfprintf(fh,' }\n'); mfprintf(fh,' </script>\n'); mfprintf(fh,' </head>\n'); mfprintf(fh,' <body>\n'); mfprintf(fh,' <div id='"chart_div'" style='"width: 900px; height: 500px;'"></div>\n'); mfprintf(fh,' </body>\n'); mfprintf(fh,' </html>\n'); mclose(fh); endfunction
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@relation heart @attribute Age integer[29,77] @attribute Sex integer[0,1] @attribute ChestPainType integer[1,4] @attribute RestBloodPressure integer[94,200] @attribute SerumCholestoral integer[126,564] @attribute FastingBloodSugar integer[0,1] @attribute ResElectrocardiographic integer[0,2] @attribute MaxHeartRate integer[71,202] @attribute ExerciseInduced integer[0,1] @attribute Oldpeak real[0.0,62.0] @attribute Slope integer[1,3] @attribute MajorVessels integer[0,3] @attribute Thal integer[3,7] @attribute Class{1,2} @inputs Age, Sex, ChestPainType, RestBloodPressure, SerumCholestoral, FastingBloodSugar, ResElectrocardiographic, MaxHeartRate, ExerciseInduced, Oldpeak, Slope, MajorVessels, Thal @outputs Class 1 1 1 1 1 1 2 2 2 2 2 2 1 1 1 1 1 2 1 1 1 1 2 2 2 2 2 2 2 2 1 1 2 2 2 2 1 1 1 1 1 1 2 2 2 2 2 2 1 1 1 1 1 1
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//scilab 5.4.1 clear; clc; printf("\t\t\tProblem Number 4.1\n\n\n"); // Chapter 4 : The Second Law Of Thermodynamics // Problem 4.1 (page no. 148) // Solution //given data t1=1000; //(unit:fahrenheit) //Source temperature t2=80; //(unit:fahrenheit) //Sink temperature //solution //converting temperatures to absolute temperatures; T1=t1+460; //Source temperature //Unit:R T2=t2+460; //Sink temperature //Unit:R printf("Solution for (a)\n"); ans=((T1-T2)/T1)*100;//(ans in %) //Efficiency of the engine printf("Efficiency of the engine is %f percentage\n\n",ans); printf("Solution for (b)\n"); T1=2000+460; //Source temperature //Unit:R T2=t2+460; //Sink temperature //Unit:R ans=((T1-T2)/T1)*100;//(ans in %) //Efficiency of the engine printf("When the upper tempretrature is increased upto certain ,Efficiency of the engine is %f percentage \n\n",ans); printf("Solution for (c)\n"); T1=t1+460; //Source temperature //Unit:R T2=160+460; //Sink temperature //Unit:R ans=((T1-T2)/T1)*100;//(ans in %) //Efficiency of the engine printf("When the lower tempretrature is increased upto certain ,Efficiency of the engine is %f percentage \n\n",ans);
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clc //to calculate electric field at a point on earth vertically below the wire lambda=10^-4 //wavelength in coulomb/m r=4 //radius in m epsilon0=8.854*10^-12 E=2*lambda/(4*%pi*epsilon0*r) disp("electric field at a point on earth vertically below the wire is E="+string(E)+"N/coulomb")
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/////////////////////////////////////////////////////////// // Solve with LU // // Description: Solves linear systems of the // form Ax = B using the LU decomposition of A. /////////////////////////////////////////////////////////// // Input: // LU: the LU decomposition of A in a single matrix // for i > j: LU(i,j) = L(i,j) // for j >= i: LU(i,j) = U(i,j) // B: a n x m matrix // P: the permutation matrix produced // during LU decomposition // (identity matrix if none) /////////////////////////////////////////////////////////// // Output: // x: the solution of the system // (assuming such solution exists) /////////////////////////////////////////////////////////// function [x] = solve_LU(LU, B, P) // Obtain matrix dimensions and adjust row order [n]=size(LU,1); [m]=size(B, 2); B = P*B; // Split L and U from LU L = tril(LU) - eye(LU).*LU + eye(n,n); U = triu(LU); // Solve Ly = B, with y = Ux y = zeros(n,m); // Forward substitution for i=1:n // Sums products of known terms of y with elements of L sum_terms = zeros(1,m); for j=1:i-1 sum_terms = sum_terms + L(i,j)*y(j, :); end // Obtain yi through known elements y(i,:) = (B(i,:) - sum_terms)/L(i,i); end // Solve Ux = y x = zeros(n,m); // Back Substitution for i=n:-1:1 // Sums product of known terms of x with elements of X sum_terms = zeros(1,m); for j=n:-1:i+1 sum_terms = sum_terms + U(i,j)*x(j,:); end // Obtain xi through known elements x(i,:) = (y(i,:) - sum_terms)/U(i,i); end endfunction
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clear clc //With 50% inert 2 vol of feed would give 4 vol of completely converted gas //Expansion factor is eA=(4-2)/2; //Initial concentration of A(mol/litre) CAo=0.0625; //For 80% conversion xAo=0;xAf=0.8;k=0.01; //For plug flow space time(t) is given by //t=CAo*integral(dxA/-rA) X=integrate('sqrt((1+xA)/(1-xA))','xA',xAo,xAf); t=sqrt(CAo)*X/k; printf("\n Space time(sec) needed is %f \n",t)
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// carregar variável do arquivo load("input.dat", "L", "D", "K", "P"); C = ((floor(L/D))*P)+(L*K); // salvar o valor das variáveis em arquivo save("output.dat", "C");
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//sum to infinity series 2 + 1/2 + 1/8 + ...... clear; clc; close; a=2;r=1/4;//given //using the formula S_infinity=string('a/(1-r)'); Sum=evstr(S_infinity)
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// row vector z = [2, 4, 6, 8] // row vector z = [2 4 6 8] // column vector z = [2; 4; 6; 8] // create a vector of values running from 0 to 10 x = 1:10 // create vector from 0 to 10 with step 2 y = 0:2:10 // extract the third element from the vector x x(3) // transform a row vector to a column vector x' // square the elements of vector x**2 // the norm of a vector x*x' // entering a matrix a = [1,2,3,4; 5,6,7,8; 9,10,11,12] // second column of a matrix a(:,2) // first row of a matrix a(1,:) // zero matrix zeros(3,4) // one matrix ones(3,4) // identity matrix eye(4,4) //applying a function on a matrix, f(matrix) // the function will be applied on each terms sqrt(a) // sum the columns sum(a,1) // sum the rows sum(a,2) // mean the columns mean(a, 1) // mean the rows mean(a, 2) // accumulation by sum of the elements by columns cumsum(a, 1) // accumulation by sum of the elements by rows cumsum(a, 2) // accumulation by sum of all the elements through columns cumsum(a) // take the rows, starting from the second row till the end. a(2:$,:) // concatenation // append a row of four columns filled with zero // to the matrix a b = [zeros(1:4); a] // create a matrix filled with random numbers a = rand(2,2) // display a matrix disp(a) // 2D plot // plot x = -1:0.01:2; plot(x,x**2) // parametric plot t = 0:0.01 :1; plot(cos(2*%pi*t), sin(2*%pi*t)) // multiple curves directly x = 0:0.01 : 10; plot(x,exp(-x),x, sin(x)) // 3D plotting a = [1,2,3,8,8; 4,7,5,5,5; 3,4,9,6,6] // trasparent mesh surface mesh(a) // shaded and opaque mesh surface surf(a) // surf on coordinates x and y x = 0:0.5:2 y = 0:0.5:1 surf(x,y,a) // grid of points in a rectangular region // with a specified spacing [a,b] = meshgrid(-2: 0.6 : 1.8, -2:0.4:1.6) disp(a); size(a) disp(b); size(a) z = a.^2 - b.^2; mesh(a, b, z); surf(a, b, z) a(:,2) plot(y,a(:,2)) plot(x,a(1,:)) plot(x,a(3,:))
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// Data Reconciliation Benchmark Problems From Lietrature Review // Author: Edson Cordeiro do Valle // Contact - edsoncv@{gmail.com}{vrtech.com.br} // Skype: edson.cv // aux functions to sum of absolute errors // it is necessary to install the "diffcode" package using ATOMS in Scilab // Logistic Robust function, according to Ozyurt and Pike - Comp. & Chem. Eng. // 28, p. 381-402, (2004) function f = objfun ( x ) e1 = (xm(red)-x(red))./(var(red).^(0.5)); f = sum( 2*(log( ones(length(red),1) + exp(e1/const_logist))) -e1/const_logist); endfunction // gradient of the objetive function function gf = gradf ( x ) // in the future we can express this function analytically // gf = diffcode_jacobian(objfun,x)'; gf = zeros(nv,1); constlog = const_logist.*var(red).^(0.5); exparg = exp((xm(red)-x(red))./(constlog)); oneslog = ones(length(red),1); gf(red,1) = (oneslog./constlog) - (2*exparg)./(constlog.*(exparg + oneslog)); endfunction function H = hessf ( x ) // For the robust functions, the lagrangean of the objective function is not constant // as in weigthed least squares. // H = diffcode_hessian(objfun,x); constlog = const_logist.*var(red).^(0.5); exparg = exp((xm(red)-x(red))./(constlog )); oneslog = ones(length(red),1); t1 = zeros (nv,1); t1(red,1) = (2*exparg)./((constlog.^2).*(exparg + oneslog)) - (2*(exparg).^2)./((constlog.^2).*(exparg + oneslog).^2); H=diag(t1); endfunction
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//Exa 4.12 clc; clear; close; // Given data Vin=10;// in V R= 2.2;// in kΩ R= R*10^3;// in Ω T= 1;// in ms T= T*10^-3;// in sec C= 1;// in µF C= C*10^-6;// in F gain= 10^5;// differential voltage gain I= Vin/R;// in A V= I*T/C;// in V disp(V,"The capacitor voltage at the end of the pulse in volts is : ") RC_desh= R*C*gain;// in sec disp(RC_desh,"The closed loop time constant in sec is : ")
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/////////////////////////////////////////////////////////// // Gershgorin discs // // Description: Finds Gershgorin discs associated // with a matrix /////////////////////////////////////////////////////////// // Input: // A: a n x n matrix with real eigenvalues /////////////////////////////////////////////////////////// // Output: // c: vector with centers of discs // r: vector radii of discs /////////////////////////////////////////////////////////// function [c,r] = gershgorin_discs(A) // Obtain matrix dimensions [n]=size(A,1); // Determine centers from diagonal c = diag(A); // Determine radii r = zeros(n,1); for i=1:n for j=1:n // Sum elements outside diagonal if i ~= j r(i,1) = r(i,1) + A(i,j); end end end endfunction
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clc; close(); //page no 200 //prob no. 6.8 //All frequencies in kHz fc=250; //carrier freq LSB=[fc-1 fc-3 fc-5]; USB=[fc+1 fc+3 fc+5]; disp(fc,'carrier:',USB,'USB:',LSB,'(a) The spectrum contains following freq.LSB:' ); W=5; BT=2*W; disp(BT,'The transmission bandwidth is ');
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////Given r=10.0**-14 //m h=1.054*10**-34 //Js m=1.67*10**-27 //Calculation p=h/r E=(h**2/(2*m*(r**2)))/(1.6*10**-13) //Result printf("\n Kinetic energy %0.2f Mev",E)
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//Chapter 5_Monolithic Components //Caption : Transit Time //Example5.1: A lateral pnp device base width is 8 um and the diffusion cofficient for base region is 10 cm^2/sec. Calculate the base transit time and the unity gain frequency. //Solution: function T=transittime(W,D)//W:base width=8um; D:base diffusion cofficient=10 sq cm/sec. T= W^2/(2*D);// since f(transit frequency response )=2*D/(W^2) disp('base transit time is:') disp('ns',T*10^9)// in nanoseconds(ns) F=1/(2*%pi*T)// where F=unity gain frequency=1/(2*%pi*transit time) disp('unity gain frequency is:') disp('MHz',F/10^6)// in Mega Hertz endfunction //transittime((8*10^-6),10*10^-4);
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//Example 2.10 //Difference of wavelengths clc; clear; //given data d_theta=.01;// change of diffraction angle theta=%pi/6;// diffraction angle w=5000;// wavelength used in A dw=w*d_theta*cotg(theta)//change of wavelength in A disp(dw,"difference of wavelength in A")
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function [ x,k ] = Jacobi( A,b,x0,tol,max_iter ) pop=tol+1; k=0; D=diag(diag(A)); while(norm(pop)>tol) && k<=max_iter pop=D\(b-A*x0); x=x0+pop; k=k+1; x0=x; end end
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int main(void) { break; continue; }
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clc //initialization of variables B=10.34 //cm^-1 c=2.998*10^10 //cm/s h=6.625*10^-27 //erg sec //calculations I=h/(8*%pi^2 *B*c) //results printf("Moment of inertia = %.2e g cm^2",I)
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//Scilab Code for Example 5.4 of Signals and systems by //P.Ramakrishna Rao //Discrete Time Fourier Transform of // X(e^j*w)=2*%pi*delta(w) clear; clc; close; N = 1; N1 = -3*N:3*N; xn = [zeros(1,N-1),1]; x = [1 xn xn xn xn xn xn]; ak = 1/N; XW = 2*%pi*ak*ones(1,2*N); Wo = 2*%pi/N; n = -N:N-1; W = Wo*n; a = gca(); a.y_location ="middle"; a.x_location ="origin"; plot2d3('gnn',W,XW,2); poly1 = a.children(1).children(1); poly1.thickness = 3; xlabel('W'); title('DTFT of Periodic Impulse Train') figure(1); a = gca(); a.y_location ="origin"; a.x_location ="origin"; plot2d3('gnn',N1,x,2); poly1 = a.children(1).children(1); poly1.thickness = 3; xlabel('n'); title('Periodic Impulse Train x(n)')
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//(8.9) The condenser of Example 8.2 involves two separate water streams. In one stream a two-phase liquid–vapor mixture enters at 0.008 MPa and exits as a saturated liquid at 0.008 MPa. In the other stream, cooling water enters at 15C and exits at 35C. (a) Determine the net rate at which exergy is carried from the condenser by the cooling water, in MW. Express this result as a percentage of the exergy entering the plant with the fuel. (b) Determine for the condenser the rate of exergy destruction, in MW. Express this result as a percentage of the exergy entering the plant with the fuel. Let T0 = 22C and p0 = 1 atm. //solution T0 = 295 //in kelvin //analysis //from solution to Example 8.2. mcwdot = 9.39e6 //mass flow rate of the cooling water in kg/h //With saturated liquid values for specific enthalpy and entropy from Table A-2 he = 146.68 //in kj/kg hi = 62.99 //in kj/kg se = .5053 //in kj/kg.k si = .2245 //in kj/kg.k Rout = mcwdot*(he-hi-T0*(se-si))/(3600*10^3) //The net rate at which exergy is carried out of the condenser in MW printf(' the net rate at which exergy is carried from the condenser by the cooling water, in MW is: %f',Rout) printf('. Expressing this as a percentage of the exergy entering the plant with the fuel, we get %f',(Rout/231.28)*69) printf('percent') //part(b) //from table s3 = .5926 //in kj/kg.k s2 = 6.2021 //in kg/kg.k mdot = 4.449e5 //in kg/h Eddot = T0*(mdot*(s3-s2)+mcwdot*(se-si))/(3600*10^3) //the rate of exergy destruction for the condenser in MW printf('\n\nthe rate of exergy destruction for the condenser in MW is: %f',Eddot) printf('. Expressing this as a percentage of the exergy entering the plant with the fuel, we get, %f',(Eddot/231.28)*69) printf('percent')
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// A Textbook of Fluid Mecahnics and Hydraulic Machines - By R K Bansal // Chapter 2 - Pressure and its measurements // Problem 3.34 //Given Data Set in the Problem dens=1000 g=9.81 a=2.4 l=6 w=2.5 d=2 h=1 x=3 //calculation //1) tan_theta=a/g theta=(atan(a/g))/%pi*180 mprintf("\nThe angle of water surface to the horizontla is %f degrees downwards\n\n",theta) //2) h1=h-x*tan_theta h2=h+x*tan_theta p_max=dens*g*h2 p_min=dens*g*h1 mprintf("The maximum and minimum pressues at the bottom are %f and %f N/m^2 respective;y\n\n",p_max,p_min) //3) A1=h1*w //BD=h1 H1=h1/2 F1=dens*g*A1*H1 A2=h2*w H2=h2/2 F2=dens*g*A2*H2 F=F2-F1 //resultant force mprintf("The resultant force due to water acting on each end of the tank is %f N\n",F)
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function [m, A, Eigenfaces] = EigenfaceCore(T) // Use Principle Component Analysis (PCA) to determine the most // discriminating features between images of faces. // // Description: This function gets a 2D matrix, containing all training image vectors // and returns 3 outputs which are extracted from training database. // // Argument: T - A 2D matrix, containing all 1D image vectors. // Suppose all P images in the training database // have the same size of MxN. So the length of 1D // column vectors is M*N and 'T' will be a MNxP 2D matrix. // // Returns: m - (M*Nx1) Mean of the training database // Eigenfaces - (M*Nx(P-1)) Eigen vectors of the covariance matrix of the training database // A - (M*NxP) Matrix of centered image vectors // // // Calculating the mean image S=uint16(T); for i=1:36000 su=sum(S(i,:)); m(i)=su/80;// Computing the average face image m = (1/P)*sum(Tj's) (j = 1 : P) end Train_Number = size(T,2); // Calculating the deviation of each image from mean image A = []; for i = 1 : Train_Number temp = uint16(T(:,i)) - m; // Computing the difference image for each image in the training set Ai = Ti - m A = [A temp]; // Merging all centered images end // Snapshot method of Eigenface methos // We know from linear algebra theory that for a PxQ matrix, the maximum // number of non-zero eigenvalues that the matrix can have is min(P-1,Q-1). // Since the number of training images (P) is usually less than the number // of pixels (M*N), the most non-zero eigenvalues that can be found are equal // to P-1. So we can calculate eigenvalues of A'*A (a PxP matrix) instead of // A*A' (a M*NxM*N matrix). It is clear that the dimensions of A*A' is much // larger that A'*A. So the dimensionality will decrease. L = A'*A; // L is the surrogate of covariance matrix C=A*A'. [R,diagevals]=spec(L) // Diagonal elements of D are the eigenvalues for both L=A'*A and C=A*A'. // Sorting and eliminating eigenvalues // All eigenvalues of matrix L are sorted and those who are less than a // specified threshold, are eliminated. So the number of non-zero // eigenvectors may be less than (P-1). L_eig_vec = []; for i = 1 : size(V,2) if( S(i,i)>1 ) L_eig_vec = [L_eig_vec V(:,i)]; end end // Calculating the eigenvectors of covariance matrix 'C' // Eigenvectors of covariance matrix C (or so-called "Eigenfaces") // can be recovered from L's eiegnvectors. Eigenfaces = A * L_eig_vec; // A: centered image vectors endfunction
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clc; function y = u(t) y(find (t<0)) = 0; y(find (t>=0)) = 1; endfunction t = (-6 : 0.01 : 6); y = u(t) plot(t, y, 'g.'); xtitle('Graph of unit step function','t','u(t)');
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clc// // // //Variable declaration m=9.1*10^-31; //mass of electron(kg) h=6.626*10^-34; //planck's constant n1=1; n2=2; n3=3; L=1*10^-10; //side(m) //Calculation E1=n1^2*h^2/(8*m*L^2); //lowest energy of electron(joule) E2=n2^2*h^2/(8*m*L^2); //energy of electron in 1st state(joule) E3=n3^2*h^2/(8*m*L^2); //energy of electron in 2nd state(joule) //Result printf("\n lowest energy of electron is %0.4f *10^-17 joule",E1*10^17) printf("\n energy of electron in 1st state is %0.3f *10^-17 joule",E2*10^17) printf("\n energy of electron in 2nd state is %0.3f *10^-17 joule",E3*10^17)
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clear; //clc(); // Example 13.12 // Page: 367 printf("Example-13.12 Page no.-367\n\n"); //***Data***// // Getting the data from the example 13.10 T = 273.15+25;//[K] Temperature P = 11.38/760;//[atm] Pressure R = 0.08206;//[(L*atm)/(mol*K)] Gas constant v = 0.6525/0.04346;//[L/g] Specific volume // Now from the previous example ie example 13.11 the mole fractions of the monomer and dimer in the gas phase is y_HAc = 0.211;// monomer y_HAc_2 = 0.789;// dimer // Molecular weights of the monomer and dimer forms are M_HAc = 60.05;//[g/mol] monomer M_HAc_2 = 120.10;//[g/mol] dimer // Now average molecular weight of the mixture is M_avg = M_HAc*y_HAc + M_HAc_2*y_HAc_2;//[g/mol] // So specific volume in [L/mol] is V = v*M_avg;//[L/mol] // Now compressibility factor is z = (P*V)/(R*T); printf("The compressibility factor z for the gaseous mixture is %f",z);
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clc; warning("off"); printf("\n\n example10.9 - pg443"); // given L1=50; //[m] - length of first pipe L2=150; //[m] - length of second pipe L3=100; //[m] - length of third pipe d1=0.04; //[m] - diameter of first pipe d2=0.06; //[m] - diameter of second pipe d3=0.08; //[m] - diameter of third pipe deltap=-1.47*10^5; //[kg/m*sec] - pressure drop mu=1*10^-3; //[kg/m*sec] - viscosity p=1000; //[kg/m^3] - density // for branch 1 S=(%pi*(d1^2))/4; Nvk=((d1*p)/mu)*(-(d1*deltap)/(2*L1*p))^(1/2); f=(1/(4*log10(Nvk)-0.4))^2; U=(((-deltap)/p)*(d1/L1)*(2/4)*(1/f))^(1/2); w1=p*U*S; printf("\n\n For first branch w1=%f kg/sec",w1); // for branch 2 S=(%pi*(d2^2))/4; Nvk=((d2*p)/mu)*(-(d2*deltap)/(2*L2*p))^(1/2); f=(1/(4*log10(Nvk)-0.4))^2; U=(((-deltap)/p)*(d2/L2)*(2/4)*(1/f))^(1/2); w2=p*U*S; printf("\n\n For second branch w2=%f kg/sec",w2); // for branch 3 S=(%pi*(d3^2))/4; Nvk=((d3*p)/mu)*(-(d3*deltap)/(2*L3*p))^(1/2); f=(1/(4*log10(Nvk)-0.4))^2; U=(((-deltap)/p)*(d3/L3)*(2/4)*(1/f))^(1/2); w3=p*U*S; printf("\n\n For third branch w3=%f kg/sec",w3); // total flow rate w=w1+w2+w3 w=w1+w2+w3; printf("\n\n total flow rate is w=%f kg/sec",w);
087a3bb810d4e65492ffcd773e983293c3ef58b2
449d555969bfd7befe906877abab098c6e63a0e8
/1958/CH5/EX5.1/Chapter5_example1.sce
11c06ca0d68e4701754bb07e4af477da77163f22
[]
no_license
FOSSEE/Scilab-TBC-Uploads
948e5d1126d46bdd2f89a44c54ba62b0f0a1f5e1
7bc77cb1ed33745c720952c92b3b2747c5cbf2df
refs/heads/master
2020-04-09T02:43:26.499817
2018-02-03T05:31:52
2018-02-03T05:31:52
37,975,407
3
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null
null
null
null
UTF-8
Scilab
false
false
443
sce
Chapter5_example1.sce
clc clear //Input data m=1//Mass of torsional pendulum in kg R=0.06//Radius of torsional pendulum in m l=1.2//Length of the wire in m r=0.0008//Radius of wire in m S=(9*10^9)//Modulus of rigidity of the material in N/m^2 //Calculations I=(1/2)*m*R^2//Moment of inertia in kg.m^2 C=(3.14*S*r^4)/(2*l)//Couple per unit twist in N.m T=2*3.14*sqrt(I/C)//Period of pendulum in s //Output printf('Period of pendulum is %3.1f s',T)
81715c24e0aec6e5b59033320734721aa9f8c5ff
ef6120d210e1da8da8b771ae5280a2057e25a9f1
/data/game/altewelt.sce
c2b58212ef4574477ca4b33e47899f3694653c49
[ "Apache-2.0" ]
permissive
daniel-pajares/PyOverheadGame
3a37f95d4426ba540fb38fd949fda1a97ece9d9f
29abdddde50b0641a7fb0aa1256c43c00b6d6f49
refs/heads/master
2023-05-11T06:38:33.892991
2020-08-23T23:00:21
2020-08-23T23:00:21
null
0
0
null
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null
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UTF-8
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93,658
sce
altewelt.sce
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/case-studies/week-12/week-12-q1.sce
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vsujeesh/BN5205
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week-12-q1.sce
clear; stacksize('max'); //============================================================================== // Creates a coordinate list sparse matrix. Appends non-zero values to the // sparse matrix in the following format [row number, column number, value] // Entries automatically sorted by row index and then column index. // \param M dense matrix // \return COO COO sparse matrix //============================================================================== function COO = MakeCOOMat(M) [num_rows, num_cols] = size(M); first_value = %T; for i = 1 : num_rows for j = 1 : num_cols if first_value & M(i, j) ~= 0 then COO(1, :) = [i, j, M(i, j)]; first_value = %F; elseif M(i, j) ~= 0 then COO($ + 1, :) = [i, j, M(i, j)]; end end // j end // i endfunction //============================================================================== // Creates sparse matrix using the compressed row storage format //============================================================================== function [val, col_ind, row_ptr] = MakeCSRMat(M) [num_rows, num_cols] = size(M); first_value = %T; for i = 1 : num_rows new_row = %T; for j = 1 : num_cols if first_value & M(i, j) ~= 0 then val = M(i, j); col_ind = j; row_ptr = 1; first_value = %F; new_row = %F; elseif M(i, j) ~= 0 then val($ + 1) = M(i, j); col_ind($ + 1) = j; if new_row then row_ptr($ + 1) = length(val); new_row = %F; end end end // j end // i endfunction //============================================================================== // Creates sparse matrix using the compressed row storage format. Inputs are // symmetric matrices. Only stores upper half of matrix, ignores lower half. //============================================================================== function [val, col_ind, row_ptr] = MakeCSRMatSymmetric(M) [num_rows, num_cols] = size(M); first_value = %T; for i = 1 : num_rows new_row = %T; for j = i : num_cols if first_value & M(i, j) ~= 0 then val = M(i, j); col_ind = j; row_ptr = 1; first_value = %F; new_row = %F; elseif M(i, j) ~= 0 then val($ + 1) = M(i, j); col_ind($ + 1) = j; if new_row then row_ptr($ + 1) = length(val); new_row = %F; end end end // j end // i endfunction n = 4096; path = pwd() + '\case-studies\week-12\'; A = read(path+'Amatrix', n, n); B = read(path+'Bvector', n, 1); mat = [-1, 1, 0, 0; 1, -2, 1, 0; 0, 1, -2, 1; 0, 0, 1, -1]; vec = [2; 3; 4; 5]; coo_mat = MakeCOOMat(mat); [csr_val, csr_col_ind, csr_row_ptr] = MakeCSRMat(mat); [csrs_val, csrs_col_ind, csrs_row_ptr] = MakeCSRMatSymmetric(mat); coo_A = MakeCOOMat(A); [csr_val_A, csr_col_ind_A, csr_row_ptr_A] = MakeCSRMat(A); [csrs_val_A, csrs_col_ind_A, csrs_row_ptr_A] = MakeCSRMatSymmetric(A);
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/887/CH15/EX15.6/15_6.sce
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FOSSEE/Scilab-TBC-Uploads
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clc //ex15.6 w_core=2*10^-2; //width d_core=2*10^-2; //depth A_core=w_core*d_core; //area of core M_r=1000; //relative permeability M_o=4*%pi*10^-7; //permeability of free space gap_a=1*10^-2; gap_b=0.5*10^-2; N=500; //number of turns of coil i=2; //current in the coil l_c=10*10^-2; //length for center path R!_c=l_c/(M_r*M_o*A_core); //reluctance of center path //For left side //taking fringing ino account A_gap_a=(w_core+gap_a)*(d_core+gap_a); //area of gap a R!_gap_a=gap_a/(M_o*A_gap_a); //reluctance of gap a l_s=10*10^-2; //side of square l_core_l=3*l_s-gap_a; //mean length on left side R!_core_l=l_core_l/(M_r*M_o*A_core); //reluctance of core R!_L=R!_core_l+R!_gap_a; //total reluctance on left side //For right side //taking fringing ino account A_gap_b=(w_core+gap_b)*(d_core+gap_b); //area of gap b R!_gap_b=gap_b/(M_o*A_gap_b); //reluctance of gap b l_s=10*10^-2; //side of square l_core_r=3*l_s-gap_b; //mean length on right side R!_core_r=l_core_r/(M_r*M_o*A_core); //reluctance of core R!_R=R!_core_r+R!_gap_b; //total reluctance on right side R!_T=R!_c+1/((1/R!_L)+(1/(R!_R))); //total reluctance phi_c=N*i/(R!_T); //flux in the center leg of coil //by current-division principle phi_L=phi_c*R!_R/(R!_L+R!_R); //left side phi_R=phi_c*R!_L/(R!_L+R!_R); //right side B_L=phi_L/A_gap_a; //flux density in gap a B_R=phi_R/A_gap_b; //flux density in gap b printf(" All the values in the textbook are approximated hence the values in this code differ from those of Textbook") disp(B_L,'flux density in gap a in tesla') disp(B_R,'flux density in gap b in tesla')
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// Ex2_8 clc; // Given: h=6.6262*10^-34;// in J.s f=17.24*10^6;// in Hz/T m=5.05*10^-27;// in J/T g=1.405; // Solution: E=g*m; f=E/(h*10^6);// NMR frequency printf("The NMR frequency is = %f MHz",f)
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function [tt]=pol2tex(a) // Latex source code for the scilab polynomial matrix a. // (For use with texprint) //! //origine S Steer INRIA 1989 // p=string(coeff(a)) z=varn(a) lz=length(z) while part(z,lz)=' ' then lz=lz-1,end z=part(z,1:lz) // np=prod(size(p));ok=' ',tt=' ', //coeff degree 0 if part(p(1),1)<>'-' then if p(1)<>'0' then tt=tt+ok+p(1) ok='+' end else ok='+' tt=tt+p(1) end if np=1 then if ok=' ' then tt='0',end return, end //coeff degree 1 if part(p(2),1)<>'-' then select p(2) case '0', case '1' then tt=tt+ok+z,ok='+' else tt=tt+ok+p(2)+' '+z,ok='+' end else if p(2)='-1' then tt=tt+'-'+z else tt=tt+p(2)+' '+z end ok='+' end //other coefficients for i=3:np if part(p(i),1)<>'-' then select p(i) case '0', case '1' then tt=tt+ok+z+'^{'+string(i-1)+'}',ok='+' else tt=tt+ok+p(i)+' '+z+'^{'+string(i-1)+'}',ok='+' end else ok='+' if p(i)='-1' then tt=tt+'-'+z+'^{'+string(i-1)+'}' else tt=tt+p(i)+' '+z+'^{'+string(i-1)+'}' end end end if ok=' ' then tt='0',end
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clc m=1; //kg du=-42000; //J cp=840; //J/kg.0C cv=600; //J/kg.0C dT=du/m/cv; Q=m*cp*dT; W=(Q-du)/10^3; disp("Work done=") disp(W) disp("kJ")
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x^2 + y^2 - z^2; a^2 - x - x^2 - y^2 + z^2; a^2 - x equals=false, isEqualTo=true, isEquivalent=false, similiarity=null
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Ex4_5.sce
//======================================================================= //chapter 4 example 5 clc; clear; //input data e0 = 8.85*10^-12; //abslute permitivity in (m^-3)*(kg^-1)*(s^4)*(A^2) E = 600*10^2; //strength in V/cm er1 = 2.28; //dielectric constant of benzene in coulomb/m er2 = 81; //dielectric constant of water in coulomb/m //fomula //p=e0*E*(er-1) //calculation pB = e0*E*(er1-1); //polarisation of benzene in c/m^2 pW = e0*E*(er2-1); //polarisation of water in c/m^2 //result mprintf('polarisation of benzene=%3.2e.c/m^2\n',pB); mprintf('polarisation of water=%3.2e.c/m^2\n',pW); //========================================================================
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clear ; clc; // Example 8.11 printf('Example 8.11\n\n'); printf('Page No. 240\n\n'); // This question doesnot contain any calculation part. //given P_F_1 = 0.7;// Initial power factor P_F_2 = 0.95;// Final power factor //Refer Figure 8.10 red_I = 26;//reduction in current in per cent printf('The reduction in current is %.0f per cent \n',red_I) P_F_3 = 1.0;// Increased power factor // From figure 8.10 Save = 4;// per cent printf('Increase in power factor from 0.95-1.0 only increases saving further by a %.0f per cent',Save)
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dünya N;ABL;SG;PSS3P uşaqlıq N;LOC;PL;PSS3P dünya N;LOC;PL;PSS3P düşmən N;NOM;PL;PSS3P qardaş N;ACC;SG;PSS3P lüğət N;GEN;DEF;PL kəfgir N;ABL;PL yemiş N;ACC;PL;PSS3P məktəb N;NOM;SG;PSS2S rəhbər N;NOM;SG;PSS3P namaz N;ACC;PL;PSS3P onurğa N;DAT;PL;PSS3P amfiteatr N;ABL;SG pilləkən N;LOC;PL qan N;NOM;PL əqrəb N;LOC;SG;PSS2S ilan N;ACC;DEF;SG ərik N;LOC;PL;PSS3P hörümçək N;ACC;DEF;SG hüceyrə N;NOM;PL qoxu N;ACC;PL;PSS3P beyin N;GEN;SG;PSS2S tilişkə N;ABL;SG dirsək N;ACC;PL;PSS2P namaz N;ACC;DEF;SG dolab N;ABL;SG sümük N;LOC;SG;PSS1S tələbə N;DAT;SG;PSS1S alət N;GEN;PL;PSS1S ulduz N;GEN;DEF;PL ağac N;ACC;DEF;SG gəmi N;ACC;DEF;PL bıçaq N;NOM;PL;PSS1S armud N;LOC;SG tüstü N;LOC;PL zoğ N;ACC;DEF;SG tərcümə N;ABL;PL;PSS1S sabun N;ACC;DEF;SG alça N;DAT;SG;PSS1S sümük N;ACC;SG;PSS3P xloroplast N;ACC;DEF;PL nar N;NOM;PL dodaq N;ACC;DEF;PL yağış N;ACC;DEF;SG nəfəs N;LOC;SG ayaqqabı N;ABL;PL beyin N;ACC;SG;PSS3P kölgə N;DAT;SG;PSS3S dünya N;GEN;PL;PSS2S dinozavr N;GEN;PL;PSS3P əqrəb N;GEN;PL;PSS3P ereksiya N;ABL;PL;PSS1S kömək N;LOC;PL;PSS3S vertolyot N;GEN;DEF;SG kömək N;NOM;SG;PSS2P açar N;DAT;SG;PSS2S buynuz N;GEN;DEF;SG hüceyrə N;ABL;PL;PSS1S ad N;ACC;DEF;PL nəticə N;ACC;DEF;PL göbək N;GEN;DEF;SG dünya N;ACC;PL;PSS3S mətbəx N;LOC;SG xəzinə N;DAT;PL;PSS1S hüceyrə N;LOC;PL;PSS1S məktəb N;LOC;SG kömək N;GEN;DEF;PL hinduşka N;ACC;DEF;PL geodeziya N;NOM;PL rəngləmək V;PL;2;PST bardaq N;ABL;SG baldız N;GEN;SG;PSS3P kəfgir N;DAT;SG;PSS2S düşərgə N;ACC;DEF;SG müzakirə N;ABL;PL;PSS1S hinduşka N;ACC;DEF;SG tələbə N;NOM;PL;PSS2S müzakirə N;LOC;PL qarğa N;ABL;PL qoxu N;LOC;SG;PSS2S ereksiya N;NOM;SG;PSS3P bozbaş N;ACC;DEF;SG rəhbər N;LOC;SG;PSS3S baldız N;NOM;PL;PSS3S balıq N;ACC;DEF;PL biçin N;ABL;SG ana N;GEN;DEF;PL od N;NOM;SG dinozavr N;LOC;PL qoxu N;NOM;SG;PSS1S badam N;ACC;DEF;SG kömək N;ABL;SG leşyeyən N;NOM;PL mələk N;ACC;PL;PSS2P piano N;LOC;PL minbər N;LOC;PL qardaş N;DAT;SG;PSS3P şamisen N;ABL;SG beyin N;ACC;SG;PSS1S xər N;NOM;PL onurğa N;LOC;SG;PSS2S mənzərə N;GEN;PL;PSS3P penis N;NOM;PL;PSS3P ay N;ACC;DEF;SG namaz N;ABL;PL arxiv N;GEN;PL;PSS2S qardaş N;ABL;SG;PSS2P qoxu N;DAT;PL;PSS2S onurğa N;ACC;DEF;PL xəstəlik N;LOC;PL inək N;GEN;DEF;PL okean N;NOM;SG dinozavr N;LOC;PL;PSS3P əqrəb N;ACC;DEF;PL qardaşlıq N;LOC;PL vəziyyət N;LOC;SG;PSS3S ağlamaq V;SG;1;PST kəfgir N;NOM;PL xoruz N;GEN;DEF;SG od N;LOC;SG namaz N;DAT;PL;PSS3S kəfgir N;ABL;SG;PSS1S rəssam N;ACC;DEF;SG gülüş N;NOM;PL;PSS3P mələk N;LOC;PL;PSS2P qoxu N;GEN;DEF;PL bacı N;NOM;SG;PSS2S dəmir N;NOM;PL kəfgir N;ABL;PL;PSS3S müzakirə N;ABL;PL;PSS2P dəmir N;NOM;SG ereksiya N;ABL;SG;PSS2P ad N;NOM;PL hörümçək N;GEN;SG;PSS1S buz N;GEN;DEF;SG əqrəb N;NOM;SG;PSS1S rəhbər N;ACC;DEF;SG ağacdələn N;ACC;DEF;SG tərcümə N;LOC;PL qaçmaq V;SG;2;FUT xoruz N;ABL;PL rəhbər N;LOC;PL;PSS1S şirkət N;GEN;DEF;PL ada N;ACC;DEF;PL rəhbər N;LOC;PL işıq N;NOM;SG çiyələk N;GEN;DEF;PL şəhər N;LOC;SG jasmin N;GEN;DEF;PL yəhudi N;LOC;SG dırnaq N;ACC;PL;PSS3P hüceyrə N;GEN;PL;PSS3P kəfgir N;GEN;PL;PSS2P ereksiya N;GEN;DEF;PL rəhbər N;LOC;PL;PSS3P balalayka N;LOC;SG dırnaq N;DAT;PL;PSS2S gülüş N;NOM;SG;PSS3P gülüş N;ACC;DEF;PL kamerton N;GEN;DEF;PL bozbaş N;ACC;DEF;PL şaftalı N;GEN;PL;PSS3P kraliça N;GEN;PL;PSS1S qəlsəmə N;NOM;PL dalğa N;NOM;SG;PSS3S qardaş N;NOM;SG;PSS2S dırnaq N;LOC;SG;PSS3S qaçqın N;ACC;DEF;SG özünüidarəetmə N;LOC;PL hörümçək N;NOM;SG;PSS2S qarğa N;ACC;DEF;PL qaloş N;ACC;DEF;SG qulaq N;LOC;PL;PSS2S mələk N;ABL;SG soğan N;ABL;SG günəş N;ACC;DEF;SG ağlamaq V;PL;1;PST açar N;LOC;PL;PSS3P rəng N;ACC;DEF;PL ərik N;ACC;DEF;PL ana N;ABL;SG;PSS2P içmək V;PL;1;PST fəaliyyət N;NOM;PL;PSS3P onurğa N;NOM;SG;PSS2P ereksiya N;NOM;SG;PSS3S dəvəquşu N;GEN;DEF;PL sümük N;DAT;PL;PSS3P qurbağa N;LOC;PL əqrəb N;GEN;SG;PSS3S şaftalı N;NOM;SG;PSS2P ördək N;LOC;SG kraliça N;NOM;SG;PSS2S açar N;LOC;PL;PSS3P dırnaq N;ACC;SG;PSS2P gülüş N;DAT;SG;PSS3P fahişə N;NOM;PL rəndə N;ACC;DEF;PL ağacdələn N;LOC;PL bəbək N;GEN;DEF;SG qaçmaq V;PL;1;PST alça N;LOC;PL;PSS2S soğan N;LOC;PL qalibiyyət N;GEN;DEF;PL dinozavr N;NOM;SG;PSS2P qatar N;LOC;SG çiçək N;NOM;SG ət N;LOC;PL fırtına N;NOM;PL yemiş N;GEN;SG;PSS1S od N;ACC;DEF;SG süngü N;ACC;SG;PSS2S təsadüf N;LOC;PL hüceyrə N;NOM;PL;PSS2S beyin N;GEN;SG;PSS1S arxiv N;DAT;SG;PSS3P köynək N;ACC;SG;PSS1S arxiv N;DAT;SG;PSS2P düşman N;ACC;SG;PSS3P quyruq N;ABL;PL bacı N;DAT;SG;PSS3P uşaqlıq N;GEN;SG;PSS1S sümük N;DAT;SG;PSS3S ad N;GEN;DEF;PL kişi N;LOC;PL dünya N;ABL;SG;PSS2P çiyələk N;GEN;DEF;SG brilyant N;ABL;PL buynuz N;ACC;PL;PSS3S qulaq N;GEN;PL;PSS3P baldız N;ABL;PL;PSS3P mənzərə N;ACC;PL;PSS2P dəyirman N;GEN;DEF;PL ərik N;ABL;PL;PSS3P müzakirə N;DAT;PL;PSS3S xloroplast N;ABL;SG bibər N;GEN;DEF;PL açar N;ABL;PL;PSS1S uşaqlıq N;LOC;PL;PSS2S mələk N;LOC;PL;PSS3P qulaq N;LOC;SG;PSS3P mənzərə N;LOC;SG;PSS3P ayaq N;ACC;DEF;PL əqrəb N;GEN;SG;PSS2P oturmaq V;PROG;PL;3;PRS şənbə N;ABL;SG bülbül N;ACC;DEF;SG həqiqət N;ACC;DEF;SG mələk N;NOM;PL;PSS3P dirsək N;LOC;PL;PSS2P vəziyyət N;LOC;PL;PSS3S ərik N;ABL;SG;PSS3P namaz N;NOM;SG;PSS3P dalğa N;LOC;PL;PSS1S qəlb N;ABL;PL;PSS3P kəlbətin N;ACC;DEF;PL köynək N;ABL;SG;PSS2S kraliça N;GEN;DEF;PL rəhbər N;GEN;PL;PSS2P rəhbər N;GEN;SG;PSS2P darçın N;ABL;PL tərcümə N;NOM;PL;PSS3P vaza N;ABL;PL;PSS3S gülüş N;ABL;PL onurğa N;LOC;PL;PSS3S penis N;NOM;PL;PSS2S kraliça N;LOC;SG;PSS1S süngü N;NOM;SG;PSS2P dünya N;ABL;SG;PSS2S mənzərə N;LOC;PL dinozavr N;NOM;PL;PSS3P alət N;DAT;SG;PSS2P tərcümə N;GEN;DEF;PL penis N;LOC;SG;PSS1S motosiklet N;NOM;SG tilişkə N;GEN;DEF;SG müqayisə N;NOM;PL söz N;ABL;PL kölgə N;ABL;SG;PSS3P bazar N;LOC;PL köpük N;ABL;SG xəritə N;ACC;SG;PSS2S temperatur N;ACC;DEF;PL xəzinə N;GEN;SG;PSS3P tarix N;LOC;PL mənzərə N;ABL;PL;PSS2P balalayka N;GEN;DEF;SG dövri cədvəl N;NOM;SG donuz N;GEN;DEF;PL düşman N;LOC;SG;PSS2P sümük N;ACC;DEF;PL ox N;NOM;PL mənzərə N;NOM;SG;PSS3P kraliça N;GEN;PL;PSS3P süngü N;NOM;PL;PSS3P vaza N;DAT;PL;PSS3P bacı N;DAT;PL;PSS1S onurğa N;LOC;PL;PSS1S bıçaq N;ABL;SG;PSS3P penis N;LOC;PL;PSS3P elektron poçt N;NOM;SG vertolyot N;ACC;DEF;PL göyərçin N;LOC;SG ərik N;ACC;DEF;SG hüceyrə N;ABL;SG;PSS2S beyin N;NOM;PL;PSS2P zəfər N;GEN;DEF;PL məktəb N;ABL;PL geyşa N;GEN;DEF;SG lüğət N;GEN;DEF;SG qatar N;ABL;SG dünya N;DAT;SG;PSS3P dalğıc N;LOC;SG okean N;LOC;PL axış N;ACC;DEF;PL buynuz N;DAT;SG;PSS2S ereksiya N;ABL;PL;PSS2P sözlük N;LOC;PL onurğa N;DAT;SG;PSS3P tülkü N;ABL;SG onurğa N;ABL;PL;PSS1S kəlbətin N;ACC;DEF;PL qarışqa N;GEN;DEF;SG pişik N;ACC;DEF;PL piano N;ABL;PL dalğa N;ABL;PL tələbə N;LOC;PL ox N;LOC;SG düşmən N;ACC;DEF;PL qəzet N;LOC;SG quş N;ACC;DEF;SG kaktus N;ABL;PL alça N;ABL;SG mələk N;DAT;PL;PSS2P bacı N;LOC;PL;PSS3P pomidor N;ACC;DEF;PL fəlsəfə N;NOM;PL;PSS1S ana N;GEN;SG;PSS1S ensiklopediya N;ABL;SG yemiş N;DAT;PL;PSS3S armud N;ACC;DEF;SG donuz N;ABL;PL yemiş N;ACC;SG;PSS3S geodeziya N;ACC;DEF;PL quş N;NOM;PL şaftalı N;NOM;SG;PSS3S bıçaq N;GEN;SG;PSS3P böyrək N;ACC;DEF;PL çömçəquyruq N;ACC;DEF;PL onurğa N;GEN;SG;PSS3P ada N;LOC;SG düşmən N;NOM;SG;PSS1S din N;ABL;PL düşmən N;DAT;SG;PSS2S dinozavr N;LOC;SG;PSS2S avtomobil N;ACC;DEF;SG qardaşlıq N;ABL;PL axış N;ACC;DEF;SG kəpənək N;ABL;PL ereksiya N;LOC;SG kölgə N;DAT;SG;PSS3P mismar N;GEN;DEF;PL alov N;ACC;DEF;PL göl N;ACC;DEF;PL ulduz N;ACC;DEF;SG açar N;LOC;SG;PSS2S qoxu N;ABL;PL;PSS3P bazar N;ACC;DEF;PL texnologiya N;NOM;SG axşam N;ACC;DEF;PL matç N;NOM;SG tülkü N;ACC;DEF;PL bahar N;LOC;SG kölgə N;ACC;PL;PSS3P kilsə N;ABL;SG rəng N;GEN;DEF;PL kraliça N;LOC;PL;PSS2P düşman N;NOM;SG;PSS3S gecə N;NOM;PL muzey N;ABL;PL arxiv N;ABL;SG;PSS3P bacı N;ACC;DEF;SG fəlsəfə N;GEN;PL;PSS3P qaçmaq V;SG;1;PST beyin N;LOC;SG mələk N;DAT;SG;PSS1S şahmat N;ACC;DEF;SG dırnaq N;ABL;PL tələbə N;DAT;SG;PSS3S bıçaq N;DAT;PL;PSS3P ərik N;DAT;PL;PSS2S zəlzələ N;LOC;SG ərik N;DAT;SG;PSS2S göz N;LOC;SG;PSS2S dünya N;DAT;PL;PSS3P qulaq N;ABL;SG;PSS1S avtomobil N;ABL;PL eşşək N;ABL;SG qardaş N;ABL;PL;PSS1S fəaliyyət N;ACC;DEF;PL tələbə N;NOM;PL;PSS3S səviyyə N;NOM;PL kölgə N;GEN;PL;PSS2P namaz N;ACC;PL;PSS3P inək N;ACC;DEF;PL namaz N;ACC;PL;PSS2S onurğa N;ACC;DEF;SG köpük N;ACC;DEF;SG ördək N;ABL;SG dirsək N;ABL;SG;PSS3S penis N;GEN;PL;PSS2S özünüidarəetmə N;LOC;SG skripka N;ACC;DEF;SG təzyiq N;ACC;DEF;SG dünya N;GEN;DEF;SG bacı N;ABL;PL;PSS3P dirsək N;GEN;PL;PSS3P göz N;NOM;PL;PSS3P dünya N;DAT;PL;PSS2P əjdaha N;ACC;DEF;SG dəvəquşu N;ACC;DEF;SG vəziyyət N;DAT;SG;PSS3S yemiş N;ABL;SG;PSS2P düşman N;NOM;SG;PSS3P onurğa N;NOM;PL;PSS3P məktəb N;ACC;SG;PSS3P gülmək V;SG;3;FUT penis N;DAT;PL;PSS1S körfəz N;LOC;PL açar N;LOC;SG;PSS3S fəaliyyət N;NOM;PL;PSS3S xəritə N;ABL;PL;PSS3P dayanacaq N;NOM;SG məktəb N;DAT;PL;PSS3P incəsənət N;LOC;SG ərik N;DAT;SG;PSS3P böyrək N;NOM;SG qəlb N;GEN;PL;PSS3P əjdaha N;GEN;DEF;PL dirsək N;DAT;SG;PSS1S namaz N;LOC;PL pişik N;ACC;DEF;PL günbəz N;ACC;DEF;SG şaftalı N;ABL;PL;PSS3S mənzərə N;GEN;DEF;PL şahmat N;NOM;PL rəngləmək V;SG;1;FUT dirsək N;ABL;SG;PSS3P qoxu N;ABL;SG;PSS2P tərcümə N;LOC;PL;PSS2P mənzərə N;GEN;SG;PSS2P kraliça N;ABL;SG;PSS1S qarpız N;GEN;DEF;SG matç N;ACC;DEF;SG qardaşlıq N;ACC;DEF;SG tələbə N;LOC;SG;PSS3P gülüş N;ABL;SG;PSS3P dilənçi N;ACC;DEF;SG yardım N;GEN;DEF;PL fəlsəfə N;NOM;SG;PSS2P tələbə N;NOM;SG süngü N;ABL;SG;PSS3S geyşa N;LOC;PL sevgi N;NOM;PL bacı N;LOC;SG;PSS1S damcı N;ACC;DEF;PL bıçaq N;DAT;SG;PSS1S ereksiya N;ACC;PL;PSS3S alət N;GEN;PL;PSS2S alça N;DAT;SG;PSS3P vəftiz N;ACC;DEF;PL dinozavr N;DAT;SG;PSS2S dırnaq N;ABL;SG şaftalı N;DAT;SG;PSS1S düşmən N;DAT;SG;PSS3S günəbaxan N;ABL;SG süngü N;NOM;SG namaz N;LOC;SG;PSS3P bibər N;GEN;DEF;SG tülpan N;GEN;DEF;SG xəzinə N;ABL;PL;PSS3S sivilizasiya N;LOC;SG göl N;ABL;SG şənbə N;LOC;SG göydələn N;NOM;PL yemiş N;ABL;SG;PSS1S tələbə N;GEN;PL;PSS3P dünya N;LOC;PL;PSS3P dünya N;GEN;SG;PSS1S istifadəçi N;GEN;DEF;SG göz N;DAT;SG;PSS3P məktəb N;NOM;PL;PSS1S pay N;GEN;DEF;PL sünnət N;LOC;PL dolab N;ACC;DEF;PL mismar N;ACC;DEF;SG yemiş N;LOC;SG;PSS1S bürc N;ABL;SG balalayka N;ACC;DEF;PL dünya N;NOM;PL;PSS2P beyin N;ACC;SG;PSS2P ərik N;ACC;DEF;PL bağban N;LOC;PL dağ N;NOM;PL rəngləmək V;PL;1;PST hüceyrə N;NOM;SG;PSS2P köpək N;ACC;DEF;PL ad N;NOM;SG namaz N;ACC;SG;PSS3P sözlük N;ACC;DEF;PL göbək N;ABL;SG respublika N;GEN;DEF;PL dirsək N;NOM;SG;PSS2S fəlsəfə N;GEN;SG;PSS2S mənzərə N;NOM;SG;PSS1S xarici dil N;ACC;DEF;PL dinozavr N;ACC;SG;PSS3P əqrəb N;ABL;SG;PSS2P qaçqın N;ACC;DEF;SG geyşa N;ACC;DEF;SG ağacdələn N;ACC;DEF;SG osminoq N;NOM;SG tülkü N;GEN;DEF;SG zəlzələ N;LOC;PL oraq N;LOC;SG yemiş N;NOM;PL;PSS3P alça N;GEN;PL;PSS3P fəaliyyət N;ABL;SG;PSS3S fəlsəfə N;ACC;PL;PSS1S hörümçək N;NOM;PL;PSS1S texnologiya N;ABL;SG zəfəran N;ACC;DEF;SG düşman N;ACC;PL;PSS3P alət N;ABL;SG;PSS3P beyin N;ABL;PL;PSS1S tələbə N;DAT;PL;PSS2S cəsəd N;ACC;DEF;SG bağban N;ACC;DEF;SG kölgə N;ACC;DEF;PL buynuz N;LOC;PL;PSS2S vəziyyət N;LOC;SG;PSS1S şaftalı N;DAT;SG;PSS3P qəlb N;DAT;SG;PSS1S qardaş N;ACC;SG;PSS1S yaquar N;ABL;PL qardaş N;ACC;DEF;SG gün N;NOM;SG dalğa N;NOM;PL;PSS2P dayanacaq N;LOC;PL mitoxondri N;NOM;PL bacı N;ACC;SG;PSS3P alça N;LOC;PL;PSS3S xəzinə N;NOM;SG;PSS1S qızılgül N;ACC;DEF;PL tısbağa N;ACC;DEF;PL tələbə N;GEN;PL;PSS1S ereksiya N;LOC;PL;PSS1S birlik N;ABL;SG rəhbər N;ACC;DEF;SG fəaliyyət N;ACC;SG;PSS3P düşmən N;NOM;SG;PSS2S şaftalı N;DAT;PL;PSS1S arxiv N;LOC;PL;PSS3P penis N;GEN;PL;PSS3S sözlük N;GEN;DEF;SG bulaq N;ABL;PL ana N;ABL;PL;PSS3P süd N;GEN;DEF;PL bağırtı N;NOM;SG uçan xalça N;ACC;DEF;PL kraliça N;ABL;PL;PSS3S yemiş N;NOM;SG ərik N;DAT;PL;PSS3P üzüm N;NOM;SG ördək N;GEN;DEF;SG körfəz N;ACC;DEF;PL canavar N;NOM;PL diz N;LOC;SG sabun N;ABL;PL brilyant N;GEN;DEF;PL xəritə N;ACC;SG;PSS3S dibçək N;LOC;SG qaloş N;LOC;PL müsabiqə N;ACC;DEF;PL meyvə N;GEN;DEF;PL yemiş N;LOC;SG;PSS3P texnologiya N;LOC;SG şaftalı N;ABL;PL;PSS2P qəlb N;DAT;PL;PSS3P hüceyrə N;LOC;PL;PSS3P kraliça N;GEN;DEF;SG dirsək N;DAT;PL;PSS3S kölgə N;LOC;SG;PSS3P kömək N;ABL;SG;PSS3S dalğa N;NOM;PL;PSS2S psixoterapiya N;ABL;SG skripka N;NOM;SG köpək N;ACC;DEF;PL yemiş N;DAT;PL;PSS2S öpüş N;NOM;PL əqrəb N;ACC;DEF;PL bulud N;GEN;DEF;SG fakültə N;NOM;PL busə N;NOM;PL beyin N;ABL;SG;PSS3P içmək V;PL;1;FUT gön N;ACC;DEF;PL dünya N;ACC;SG;PSS3P film N;NOM;SG cücü N;LOC;PL temperatur N;GEN;DEF;PL ütü N;LOC;PL diqqət N;NOM;SG tələbə N;ABL;SG;PSS3S ana N;ABL;PL;PSS3P buynuz N;ACC;DEF;PL sümük N;NOM;SG;PSS3S əqrəb N;GEN;SG;PSS2S fırtına N;ACC;DEF;SG yemiş N;NOM;SG;PSS3S mənzərə N;DAT;PL;PSS3P baldız N;GEN;PL;PSS3S bağırtı N;ACC;DEF;PL nəticə N;LOC;SG vertolyot N;ACC;DEF;SG xəritə N;GEN;SG;PSS3S süpürgə N;ACC;DEF;PL beyin N;NOM;SG;PSS3S bıçaq N;DAT;PL;PSS2S mənzərə N;ABL;SG;PSS1S sümük N;NOM;SG;PSS3P kəfgir N;LOC;PL;PSS1S bıçaq N;NOM;PL;PSS2S bəbək N;GEN;DEF;PL namaz N;ACC;PL;PSS2P rəngləmək V;PROG;PL;3;PRS ensiklopediya N;ABL;PL vəziyyət N;ACC;SG;PSS1S müzakirə N;ABL;SG;PSS1S ördək N;ACC;DEF;PL sünnət N;ACC;DEF;PL at N;ACC;DEF;SG gecə N;ACC;DEF;SG yağış N;ABL;SG fəaliyyət N;DAT;PL;PSS1S qəlb N;ACC;SG;PSS3S penis N;DAT;SG;PSS3P xəzinə N;GEN;PL;PSS1S dəvəquşu N;GEN;DEF;SG dayanacaq N;ACC;DEF;SG dırnaq N;ABL;PL;PSS2S süngü N;NOM;PL;PSS2P öpüş N;ACC;DEF;PL düşmən N;ABL;PL;PSS2S söyüd N;LOC;SG balıq N;GEN;DEF;PL mələk N;LOC;PL;PSS3P oğraş N;ACC;DEF;PL qəlb N;LOC;PL;PSS2S mismar N;NOM;PL penis N;DAT;SG;PSS2S dağ N;ACC;DEF;SG ana N;GEN;PL;PSS2P alça N;ABL;SG;PSS3P kraliça N;DAT;SG;PSS3P müzakirə N;GEN;PL;PSS2P hörümçək N;ACC;SG;PSS3S geodeziya N;ABL;PL bozbaş N;ACC;DEF;PL fəlsəfə N;GEN;PL;PSS3P yarasa N;ABL;PL ereksiya N;GEN;PL;PSS3P alət N;NOM;SG;PSS3S arxiv N;DAT;PL;PSS2S kraliça N;GEN;SG;PSS2P qonşu N;ACC;DEF;PL dəvə N;ABL;SG tilişkə N;LOC;SG biçin N;ABL;PL günbəz N;NOM;PL kölgə N;LOC;PL;PSS3S vəziyyət N;GEN;SG;PSS2S dırnaq N;ACC;SG;PSS2S kölgə N;GEN;PL;PSS3P əjdəha N;NOM;PL fəaliyyət N;GEN;DEF;PL alça N;ACC;SG;PSS1S dinozavr N;ACC;DEF;PL düşman N;ACC;PL;PSS2P mənzərə N;DAT;PL;PSS2P kraliça N;GEN;SG;PSS3P düşmən N;DAT;SG;PSS1S rəhbər N;NOM;SG;PSS3S bacı N;NOM;PL;PSS2S keçi N;GEN;DEF;PL fleyta N;ACC;DEF;PL oğraş N;ABL;PL piano N;ACC;DEF;PL birlik N;ACC;DEF;SG göl N;NOM;PL qoxu N;LOC;PL vəziyyət N;ABL;SG;PSS1S yemiş N;GEN;SG;PSS2S sarımsaq N;ACC;DEF;SG minarə N;LOC;SG piano N;ABL;SG oturmaq V;PL;3;FUT yəhudi N;GEN;DEF;SG dalğa N;ACC;SG;PSS2P mənzərə N;ACC;PL;PSS2S kömək N;LOC;PL ana N;NOM;SG qardaş N;DAT;PL;PSS3P kərgədan N;ABL;PL balıq N;ACC;DEF;SG qan N;LOC;SG cib N;GEN;DEF;PL gülüş N;GEN;SG;PSS3P gülüş N;LOC;PL;PSS3P uşaqlıq N;ABL;PL;PSS3S dırnaq N;ACC;DEF;PL göydələn N;GEN;DEF;PL fəlsəfə N;LOC;PL;PSS2P tərcümə N;GEN;PL;PSS1S fəlsəfə N;ABL;SG;PSS3P kraliça N;DAT;PL;PSS3S yemiş N;GEN;SG;PSS3P son N;LOC;PL ana N;ACC;PL;PSS3S amfiteatr N;ABL;PL vertolyot N;ABL;SG meyvə N;NOM;SG uşaqlıq N;ABL;PL;PSS1S yarasa N;ACC;DEF;SG qarpız N;ACC;DEF;PL nar N;ACC;DEF;SG bıçaq N;DAT;PL;PSS1S dövri cədvəl N;GEN;DEF;SG geyşa N;NOM;PL gülmək V;SG;1;FUT ox N;ACC;DEF;SG şahmat N;LOC;PL ərik N;ACC;SG;PSS2P xəritə N;GEN;SG;PSS3P arxiv N;DAT;SG;PSS3P meyvə N;ABL;PL açar N;DAT;SG;PSS1S mələk N;LOC;SG;PSS2P quş N;NOM;SG dələ N;ACC;DEF;SG qəlb N;ACC;PL;PSS2S vaza N;GEN;PL;PSS2S uşaqlıq N;DAT;SG;PSS2S leşyeyən N;LOC;SG fəaliyyət N;GEN;SG;PSS2P qoxu N;DAT;SG;PSS3P ana N;ABL;SG;PSS1S saqqal N;NOM;SG ayaq N;ACC;DEF;SG dirsək N;ACC;PL;PSS2S beyin N;NOM;PL;PSS3P tərcümə N;GEN;PL;PSS3P dirsək N;ACC;SG;PSS3S ana N;DAT;PL;PSS1S öpüş N;ABL;PL ərik N;GEN;PL;PSS3P dinozavr N;NOM;PL kəpənək N;GEN;DEF;SG xəritə N;ABL;SG süngü N;ACC;PL;PSS2S şaftalı N;GEN;SG;PSS1S şaftalı N;ACC;SG;PSS3P ürək N;ABL;SG günbəz N;LOC;SG düşman N;NOM;SG;PSS3P dalğa N;DAT;SG;PSS2P penis N;ABL;SG;PSS2S kaktus N;GEN;DEF;PL fəlsəfə N;ABL;SG;PSS2S tarix N;LOC;SG mətbəx N;ACC;DEF;SG sümük N;DAT;SG;PSS2P ərik N;ABL;SG;PSS3S kömək N;LOC;PL;PSS2P dinozavr N;ACC;SG;PSS2P tərcümə N;ACC;DEF;SG alça N;NOM;SG;PSS3P vəziyyət N;GEN;SG;PSS2P rəngləmək V;PROG;SG;3;PRS alça N;NOM;PL;PSS3S ayaqqabı N;ACC;DEF;SG lüğət N;NOM;PL dinozavr N;LOC;PL;PSS1S xəritə N;DAT;SG;PSS3P vəziyyət N;NOM;SG ana N;ACC;SG;PSS2S yoldaş N;LOC;PL isim N;ACC;DEF;PL uşaqlıq N;GEN;SG;PSS2P içmək V;PROG;SG;2;PRS bacı N;GEN;PL;PSS3P rəng N;ABL;PL zürafə N;ABL;SG vaza N;ACC;PL;PSS3P yoldaş N;GEN;DEF;PL müzakirə N;NOM;PL;PSS3S alət N;LOC;PL;PSS1S yemiş N;ACC;PL;PSS2S hüceyrə N;ACC;PL;PSS3P şkaf N;ABL;PL isim N;ACC;DEF;PL alça N;ABL;SG;PSS3S minarə N;ABL;SG soğan N;ACC;DEF;PL tısbağa N;ACC;DEF;SG dinozavr N;ACC;DEF;SG məktəb N;ABL;SG;PSS3P kəfgir N;ABL;SG;PSS2P sözlük N;ACC;DEF;SG müzakirə N;ABL;PL süngü N;ACC;PL;PSS3S dəmir N;GEN;DEF;PL mənzərə N;LOC;PL;PSS1S böyrək N;GEN;DEF;PL baldız N;ACC;DEF;PL ereksiya N;DAT;SG;PSS3P qəlb N;GEN;SG;PSS3S köpük N;GEN;DEF;PL göbək N;GEN;DEF;PL açar N;GEN;PL;PSS1S ördək N;ACC;DEF;PL qardaş N;LOC;PL günəbaxan N;LOC;PL dirsək N;LOC;PL;PSS3S buynuz N;NOM;SG;PSS2S qaloş N;LOC;SG şaftalı N;LOC;SG;PSS2S hüceyrə N;ABL;SG;PSS2P dünya N;DAT;SG;PSS2P isim N;NOM;PL qulaq N;NOM;SG;PSS3P dayanacaq N;ABL;SG ərik N;ACC;DEF;SG göz N;LOC;SG;PSS3P yemiş N;ACC;SG;PSS3P qulaq N;NOM;SG gümüş N;LOC;SG bülbül N;ABL;PL dirsək N;GEN;PL;PSS1S yaquar N;NOM;PL od N;ACC;DEF;PL meymun N;ABL;SG bahar N;NOM;SG mələk N;ACC;SG;PSS2P zürafə N;ABL;PL vəziyyət N;GEN;PL;PSS3P kəfgir N;LOC;PL;PSS3P köynək N;LOC;PL;PSS3P silah N;ACC;DEF;PL kəlbətin N;LOC;SG oraq N;ACC;DEF;SG düşmən N;ABL;PL;PSS1S fəlsəfə N;ABL;SG;PSS3P mətbəx N;ACC;DEF;PL qoxu N;ACC;DEF;SG mənzərə N;LOC;PL;PSS3P əqrəb N;NOM;PL;PSS3S bağban N;ACC;DEF;PL hüceyrə N;DAT;PL;PSS3P ereksiya N;LOC;PL qoxu N;NOM;PL;PSS3S buynuz N;DAT;PL;PSS3S penis N;ABL;PL damcı N;GEN;DEF;SG xəbər N;LOC;SG əqrəb N;LOC;SG;PSS3P kişi N;LOC;SG vaza N;NOM;PL;PSS3P ad N;ABL;PL kölgə N;ACC;SG;PSS2P göydələn N;NOM;SG motosiklet N;ACC;DEF;SG düşmən N;ABL;SG;PSS3S xəzinə N;ABL;SG;PSS1S qələbə N;GEN;DEF;PL tilişkə N;ABL;PL bıçaq N;NOM;SG bülbül N;NOM;PL dalğa N;ABL;SG;PSS3P dalğa N;DAT;SG;PSS3S saqqal N;LOC;SG uçan xalça N;GEN;DEF;PL qulaq N;LOC;PL;PSS2P ana N;ABL;SG;PSS3P bazar N;GEN;DEF;SG müzakirə N;GEN;DEF;PL rəngləmək V;PL;2;FUT xəzinə N;NOM;SG;PSS2S tərcümə N;NOM;SG;PSS1S tələbə N;DAT;PL;PSS1S dırnaq N;GEN;SG;PSS2S uşaqlıq N;NOM;PL;PSS1S göz N;ACC;SG;PSS3P köynək N;ACC;SG;PSS3P hörümçək N;GEN;SG;PSS2S alça N;ABL;PL;PSS2P penis N;DAT;SG;PSS3S göz N;ACC;SG;PSS3S arxiv N;LOC;PL düşmən N;ACC;SG;PSS3P kəfgir N;GEN;SG;PSS3P almaz N;LOC;SG penis N;ACC;PL;PSS3P ət N;ABL;PL penis N;ACC;DEF;PL əqrəb N;LOC;SG;PSS3S qoxu N;NOM;PL;PSS2P buynuz N;ABL;SG kamerton N;LOC;SG skripka N;ACC;DEF;SG yardım N;LOC;PL qoxu N;LOC;PL;PSS3P qaz N;LOC;SG biçin N;GEN;DEF;PL qardaş N;ACC;DEF;SG kömək N;ACC;DEF;PL namaz N;GEN;DEF;SG qulaq N;DAT;PL;PSS3P hüceyrə N;GEN;DEF;PL məktəb N;ACC;PL;PSS3P üz N;NOM;PL mehrab N;GEN;DEF;PL zoğ N;ABL;SG xəzinə N;NOM;SG;PSS3P bazar N;ACC;DEF;PL dirsək N;NOM;SG;PSS2P düşmən N;ABL;SG gön N;LOC;SG ada N;ABL;SG xalqa N;NOM;PL öpüş N;GEN;DEF;SG xəritə N;DAT;PL;PSS3P bardaq N;GEN;DEF;PL gülüş N;NOM;SG;PSS3P surə N;NOM;PL dünya N;ABL;PL;PSS2P bibər N;ACC;DEF;SG qızılgül N;LOC;PL fəlsəfə N;GEN;SG;PSS1S təyyarə N;LOC;PL göz N;ACC;SG;PSS2S ürək N;LOC;SG mələk N;NOM;PL;PSS2P gülüş N;ABL;SG;PSS3S at N;ACC;DEF;SG mənzərə N;DAT;PL;PSS1S xəzinə N;ACC;PL;PSS2P qəlb N;GEN;SG;PSS3P qardaş N;ACC;DEF;PL qəlb N;NOM;SG;PSS3P onurğa N;DAT;SG;PSS3S xarici dil N;ACC;DEF;PL kişi N;NOM;SG tüstü N;GEN;DEF;SG penis N;ABL;PL;PSS3P xəzinə N;ABL;SG;PSS3P kölgə N;GEN;PL;PSS2S uşaqlıq N;ACC;SG;PSS3P ovçu N;LOC;SG məktəb N;DAT;SG;PSS1S ər N;NOM;PL əqrəb N;ACC;PL;PSS3P qadın N;ACC;DEF;SG uşaqlıq N;DAT;SG;PSS2P qaranquş N;LOC;PL süd N;LOC;SG uşaqlıq N;GEN;SG;PSS3P tilişkə N;ACC;DEF;PL skripka N;LOC;SG məktəb N;NOM;SG;PSS3P qardaş N;ACC;DEF;PL kölgə N;LOC;PL;PSS3P bıçaq N;ABL;SG meymun N;ACC;DEF;SG düşman N;NOM;PL;PSS1S ana N;NOM;SG;PSS2P mələk N;GEN;SG;PSS3P ərik N;GEN;SG;PSS3P geodeziya N;ACC;DEF;PL tələbə N;LOC;SG;PSS2S buynuz N;ACC;PL;PSS3P şaftalı N;LOC;SG;PSS3S məktəb N;LOC;SG;PSS3P milçək N;GEN;DEF;PL hüceyrə N;LOC;PL;PSS3S pişik N;NOM;PL arxiv N;LOC;SG;PSS1S söyüd N;ABL;SG ereksiya N;GEN;DEF;SG düşmən N;ABL;SG;PSS2P birlik N;LOC;SG işıq N;GEN;DEF;SG dirsək N;LOC;SG müzakirə N;NOM;PL şirkət N;ACC;DEF;PL alça N;ABL;SG;PSS3P şamisen N;NOM;PL xəritə N;ABL;PL;PSS3S qəlb N;ABL;SG;PSS2S yemiş N;DAT;SG;PSS3P kölgə N;ACC;PL;PSS2P dırnaq N;DAT;SG;PSS2S uşaqlıq N;ACC;SG;PSS3P əjdaha N;GEN;DEF;SG mələk N;GEN;PL;PSS3P futbolçu N;LOC;PL ulduz N;LOC;PL yarasa N;GEN;DEF;PL fleyta N;ACC;DEF;SG kəfgir N;GEN;DEF;PL qərənfil N;ABL;SG vaza N;DAT;PL;PSS3S quş N;ACC;DEF;SG kraliça N;DAT;SG;PSS3S cəsəd N;ABL;SG qulaq N;DAT;SG;PSS2S meymun N;GEN;DEF;SG qaçmaq V;PL;3;PST əjdaha N;ACC;DEF;PL psixoterapiya N;ACC;DEF;SG qoxu N;DAT;SG;PSS3P avqust N;ACC;DEF;SG xəzinə N;NOM;SG;PSS3S səbəb N;ABL;PL müzakirə N;NOM;PL;PSS3P avtomobil N;LOC;SG darçın N;ACC;DEF;SG qəlb N;LOC;PL;PSS3P ereksiya N;NOM;SG;PSS3P kəlbətin N;GEN;DEF;PL namaz N;NOM;PL;PSS1S çəyirtkə N;LOC;SG qardaş N;LOC;PL;PSS3S qardaş N;ABL;SG;PSS3P gülmək V;SG;2;FUT damcı N;ABL;SG ox N;GEN;DEF;PL qoxu N;DAT;PL;PSS1S hörümçək N;ABL;SG;PSS2P vaza N;ABL;SG;PSS1S qarpız N;GEN;DEF;PL kraliça N;NOM;SG üzüm N;NOM;PL sünnət N;ABL;SG qardaşlıq N;ACC;DEF;PL dırnaq N;GEN;DEF;PL günəş N;ABL;SG fəaliyyət N;ACC;SG;PSS1S kilsə N;LOC;SG göz N;ACC;PL;PSS3S qardaşlıq N;GEN;DEF;PL amfiteatr N;NOM;PL şirkət N;ACC;DEF;SG alət N;LOC;SG;PSS1S mətbəx N;GEN;DEF;SG açar N;ACC;DEF;PL damcı N;NOM;SG buynuz N;LOC;PL dırnaq N;GEN;SG;PSS2P tülpan N;LOC;SG dırnaq N;ACC;PL;PSS2S dövri cədvəl N;ACC;DEF;SG köynək N;DAT;PL;PSS2S vaza N;GEN;DEF;SG dinozavr N;ABL;SG;PSS3P dalğa N;ACC;DEF;SG mələk N;NOM;SG;PSS2S qəlb N;DAT;PL;PSS2P otaq N;LOC;PL dinozavr N;NOM;PL;PSS3P keçi N;ACC;DEF;SG dinozavr N;DAT;SG;PSS3S ana N;ACC;PL;PSS3P inək N;NOM;SG köynək N;DAT;SG;PSS2S bağırtı N;ACC;DEF;SG tərcümə N;NOM;PL;PSS3S fəlsəfə N;ABL;PL;PSS3P oyuncaq N;ABL;SG futbolçu N;ACC;DEF;SG jurnalist N;ABL;SG dalğa N;ACC;DEF;SG xəritə N;NOM;SG;PSS2S kəpənək N;ABL;SG kərpic N;ABL;SG buynuz N;ACC;SG;PSS3S gümüş N;GEN;DEF;SG bacı N;NOM;PL;PSS1S dirsək N;ABL;SG;PSS1S fəaliyyət N;ABL;SG onurğa N;GEN;SG;PSS2P fəlsəfə N;LOC;PL;PSS3S osminoq N;GEN;DEF;PL gümüş N;ACC;DEF;PL gəmi N;NOM;SG çəyirtkə N;GEN;DEF;SG dinozavr N;LOC;SG;PSS1S canavar N;ACC;DEF;SG fəlsəfə N;ACC;PL;PSS2S xəzinə N;GEN;SG;PSS3S qulaq N;NOM;PL;PSS3P fəlsəfə N;GEN;SG;PSS3S üzüm N;ABL;PL ərik N;ABL;SG hüceyrə N;ACC;PL;PSS3P qardaş N;NOM;PL dalğa N;NOM;SG;PSS2P cümə N;ABL;PL arxiv N;DAT;SG;PSS3S qaçmaq V;PROG;SG;3;PRS isim N;NOM;SG mənzərə N;GEN;PL;PSS2S qarğa N;ABL;SG yemiş N;ABL;PL;PSS2P ərik N;ACC;PL;PSS1S buynuz N;ABL;PL;PSS3S bacı N;ACC;SG;PSS2S hüceyrə N;ACC;DEF;PL alov N;GEN;DEF;SG arxiv N;LOC;PL;PSS3S xəritə N;NOM;SG;PSS3S ereksiya N;NOM;SG bürc N;NOM;PL rəhbər N;GEN;PL;PSS3S dalğa N;ACC;SG;PSS1S göz N;ABL;SG;PSS3P günəbaxan N;NOM;PL axşam N;NOM;SG quş N;LOC;SG əjdəha N;LOC;PL qulaq N;GEN;PL;PSS2S ət N;LOC;SG köynək N;ABL;PL avtomobil N;ACC;DEF;PL sözlük N;ACC;DEF;PL ağlamaq V;PROG;PL;2;PRS xəzinə N;LOC;SG;PSS3S boya N;ABL;SG cib N;ABL;SG açar N;ABL;PL;PSS2P bəbək N;ACC;DEF;PL kağız N;LOC;PL axşam N;ABL;SG vaza N;ABL;SG xəzinə N;NOM;SG;PSS2P kamerton N;GEN;DEF;SG ana N;NOM;PL;PSS3P ereksiya N;LOC;SG;PSS3P ereksiya N;DAT;PL;PSS3S uçan xalça N;NOM;SG buynuz N;DAT;PL;PSS3P rəng N;LOC;PL ərik N;NOM;PL;PSS3S piano N;LOC;SG onurğa N;GEN;SG;PSS1S səbəb N;NOM;PL həqiqət N;ACC;DEF;PL vaza N;ACC;PL;PSS2S uşaqlıq N;LOC;SG;PSS2P gecə N;ACC;DEF;PL kölgə N;GEN;SG;PSS2P qələbə N;LOC;SG ereksiya N;ABL;PL;PSS3P pişik N;NOM;SG uşaqlıq N;LOC;SG;PSS3S qardaş N;DAT;PL;PSS1S dünya N;LOC;SG kölgə N;LOC;PL;PSS2P xəzinə N;ABL;SG;PSS2P ön N;NOM;SG birlik N;GEN;DEF;SG rəngləmək V;SG;2;FUT qarışqa N;NOM;SG geyşa N;GEN;DEF;PL gülmək V;SG;3;PST baldız N;NOM;PL;PSS3P amfiteatr N;GEN;DEF;PL kağız N;GEN;DEF;SG vəziyyət N;ACC;PL;PSS3P gülüş N;NOM;SG;PSS3S bacı N;ACC;PL;PSS2P qardaş N;GEN;DEF;SG mənzərə N;GEN;SG;PSS1S din N;ACC;DEF;PL bibər N;ABL;PL gülüş N;LOC;SG;PSS3P motosiklet N;ACC;DEF;PL son N;GEN;DEF;SG köynək N;NOM;SG film N;ACC;DEF;SG xəritə N;ACC;PL;PSS3S açar N;GEN;SG;PSS3S beyin N;GEN;PL;PSS3P tələbə N;GEN;SG;PSS3S portağal N;NOM;PL açar N;ABL;SG;PSS2P rəhbər N;ACC;SG;PSS2P baldız N;DAT;PL;PSS2S təsadüf N;LOC;SG süngü N;LOC;SG;PSS1S kərtənkələ N;NOM;PL can N;GEN;DEF;PL ədəbiyyat N;GEN;DEF;PL düşman N;LOC;PL;PSS2P əqrəb N;DAT;PL;PSS3P bacı N;ACC;DEF;PL yaquar N;ACC;DEF;SG tısbağa N;ACC;DEF;PL siçan N;NOM;SG bıçaq N;DAT;SG;PSS3P son N;ACC;DEF;SG dondurma N;ABL;PL xəritə N;NOM;SG kölgə N;GEN;SG;PSS3P kömək N;ACC;DEF;PL ana N;GEN;SG;PSS3P bağırtı N;GEN;DEF;SG fəaliyyət N;DAT;SG;PSS2S gön N;ACC;DEF;PL alça N;ACC;SG;PSS2S gön N;LOC;PL bulud N;NOM;PL hörümçək N;GEN;SG;PSS3P düşərgə N;ACC;DEF;PL bacı N;DAT;SG;PSS2P ürək N;NOM;SG tələbə N;NOM;PL;PSS3P bağırtı N;ACC;DEF;SG ayaqqabı N;NOM;PL möcüzə N;NOM;SG kölgə N;ABL;PL;PSS2S geyşa N;NOM;SG baldız N;LOC;PL;PSS2S bıçaq N;ACC;SG;PSS1S dodaq N;ABL;PL onurğa N;NOM;PL;PSS2P alça N;ABL;PL;PSS2S fakültə N;LOC;SG kərgədan N;NOM;PL xəzinə N;NOM;PL;PSS2S sivilizasiya N;GEN;DEF;PL sivilizasiya N;ACC;DEF;SG nəfəs N;GEN;DEF;PL dalğa N;LOC;SG;PSS3P sevgi N;NOM;SG buynuz N;LOC;SG;PSS2S ereksiya N;NOM;PL;PSS1S qardaş N;NOM;PL;PSS3P kölgə N;LOC;PL;PSS2S düşman N;LOC;SG;PSS3P düşman N;ACC;PL;PSS1S kölgə N;GEN;SG;PSS1S səviyyə N;GEN;DEF;SG peyğəmbər N;NOM;SG kəlbətin N;ACC;DEF;SG kraliça N;DAT;PL;PSS3P maşın N;ABL;SG dirsək N;NOM;PL;PSS2P göydələn N;ACC;DEF;PL lüğət N;ACC;DEF;PL qardaş N;NOM;SG;PSS3P jurnalist N;LOC;PL yardım N;ACC;DEF;PL qızılgül N;LOC;SG cücü N;GEN;DEF;PL çiyələk N;NOM;SG bulud N;NOM;SG gülüş N;ACC;PL;PSS1S ox N;ABL;SG qoxu N;DAT;PL;PSS2P ayaq N;LOC;PL müzakirə N;GEN;SG;PSS2S düşman N;DAT;PL;PSS2P penis N;NOM;SG;PSS1S qoxu N;NOM;SG;PSS3P yemiş N;LOC;PL;PSS2S tərcümə N;ACC;SG;PSS3S sabun N;NOM;SG qılınc N;ACC;DEF;PL sümük N;ABL;PL;PSS1S qapı N;ABL;SG fırtına N;LOC;PL gülüş N;NOM;PL;PSS3P əqrəb N;ACC;PL;PSS1S ereksiya N;NOM;PL gülüş N;GEN;PL;PSS3P xarici dil N;ACC;DEF;SG dünya N;GEN;PL;PSS3P peyğəmbər N;GEN;DEF;PL vəziyyət N;LOC;PL;PSS3P dayanacaq N;ABL;PL can N;LOC;SG şəhər N;ACC;DEF;SG mənzərə N;LOC;SG;PSS3S qoxu N;ACC;DEF;SG çiyələk N;ACC;DEF;PL rəhbər N;ACC;SG;PSS1S onurğa N;ACC;SG;PSS2P düşman N;GEN;PL;PSS1S beyin N;ABL;PL;PSS3P rəhbər N;DAT;SG;PSS2P dalğa N;ACC;SG;PSS2S hüceyrə N;DAT;SG;PSS3P qaçmaq V;SG;3;PST ana N;LOC;SG;PSS3P qardaş N;ABL;PL günbəz N;LOC;PL süngü N;ACC;PL;PSS3P köynək N;ABL;PL;PSS3S göz N;GEN;PL;PSS3P meyvə N;ACC;DEF;SG rəhbər N;ACC;SG;PSS3P mələk N;ABL;PL tilişkə N;NOM;SG qardaş N;LOC;PL;PSS2S mələk N;LOC;PL;PSS1S düşman N;ABL;PL;PSS3P kömək N;DAT;PL;PSS3P göydələn N;GEN;DEF;SG at N;ABL;PL onurğa N;ACC;PL;PSS3P şaftalı N;ACC;PL;PSS2P ağlamaq V;PROG;PL;3;PRS ana N;GEN;DEF;SG kölgə N;GEN;SG;PSS3P fırtına N;GEN;DEF;PL tərcümə N;DAT;PL;PSS1S almaz N;LOC;PL səhifə N;GEN;DEF;SG penis N;ACC;SG;PSS2P xəbər N;GEN;DEF;SG dalğa N;ACC;PL;PSS2P üzüm N;ACC;DEF;SG xəstəlik N;GEN;DEF;SG ön N;ACC;DEF;SG ər N;LOC;SG göyərçin N;ACC;DEF;SG dalğıc N;NOM;SG dirsək N;ACC;DEF;PL dirsək N;GEN;PL;PSS2P tülkü N;LOC;SG dırnaq N;DAT;PL;PSS3P göydələn N;ACC;DEF;SG fəaliyyət N;DAT;PL;PSS2P məktəb N;ACC;DEF;SG böyürtkən N;NOM;SG osminoq N;ABL;PL xəritə N;LOC;PL;PSS3S süngü N;ABL;PL;PSS3P kompüter N;GEN;DEF;SG buynuz N;LOC;SG bacı N;GEN;SG;PSS1S qəlb N;ACC;SG;PSS2S məktəb N;NOM;PL;PSS2S hörümçək N;ABL;SG;PSS2S qardaş N;ABL;PL;PSS3S bulud N;ACC;DEF;PL həftə N;ABL;PL düşman N;ACC;SG;PSS3P amfiteatr N;ACC;DEF;SG bürc N;ACC;DEF;PL xəritə N;LOC;SG;PSS1S kaktus N;LOC;PL hüceyrə N;ACC;PL;PSS2S sünnət N;LOC;SG bazar N;ACC;DEF;SG fleyta N;GEN;DEF;SG şaftalı N;DAT;PL;PSS3P mehrab N;ACC;DEF;SG nəfəs N;LOC;PL yemiş N;DAT;SG;PSS1S qardaşlıq N;ACC;DEF;PL düşmən N;GEN;SG;PSS3S şkaf N;ACC;DEF;SG hörümçək N;DAT;SG;PSS2P xloroplast N;ABL;PL dırnaq N;DAT;SG;PSS1S kəfgir N;GEN;PL;PSS3P baldız N;LOC;PL;PSS3S bıçaq N;LOC;SG baldız N;GEN;SG;PSS1S rəhbər N;LOC;SG namaz N;GEN;PL;PSS3P son N;NOM;PL can N;ACC;DEF;SG ərik N;GEN;PL;PSS2P təbiət N;ABL;PL silah N;LOC;SG süpürgə N;ACC;DEF;PL kömək N;GEN;SG;PSS2P müzakirə N;ACC;PL;PSS2P qəlb N;LOC;SG;PSS3P göz N;GEN;PL;PSS2S yaquar N;GEN;DEF;SG qoxu N;ABL;SG;PSS2S ürək N;ACC;DEF;SG qarpız N;ACC;DEF;SG qonşu N;GEN;DEF;PL tələbə N;GEN;PL;PSS3S bıçaq N;LOC;PL psixoterapiya N;NOM;PL ereksiya N;LOC;PL;PSS3P milçək N;ABL;SG onurğa N;DAT;SG;PSS3P kəfgir N;NOM;SG;PSS2P film N;ABL;SG xəzinə N;GEN;SG;PSS3P qoxu N;ABL;SG;PSS3P qaranquş N;ABL;PL şaftalı N;ACC;DEF;SG vəziyyət N;ABL;PL;PSS3P xəbər N;GEN;DEF;PL dovşan N;ACC;DEF;PL penis N;LOC;PL;PSS3P mələk N;NOM;PL;PSS2S oyuncaq N;ACC;DEF;SG dünya N;NOM;PL minarə N;GEN;DEF;PL mələk N;DAT;SG;PSS3P göz N;DAT;SG;PSS3P onurğa N;ABL;PL;PSS3S ər N;NOM;SG fəaliyyət N;ABL;SG;PSS2S tələbə N;GEN;SG;PSS3P möcüzə N;ACC;DEF;PL biçin N;ACC;DEF;SG pendir N;NOM;PL namaz N;GEN;PL;PSS2P sümük N;ACC;SG;PSS2P tələbə N;DAT;SG;PSS3P qaçmaq V;PROG;SG;1;PRS rəndə N;ACC;DEF;SG köynək N;LOC;SG;PSS3P qəlb N;ABL;SG uşaqlıq N;NOM;PL;PSS2S möcüzə N;ABL;SG oraq N;ACC;DEF;PL busə N;LOC;PL yoldaş N;LOC;SG gülüş N;DAT;PL;PSS2S düşman N;DAT;SG;PSS1S yemiş N;GEN;PL;PSS3P körfəz N;ACC;DEF;PL dinozavr N;GEN;PL;PSS3S boya N;ACC;DEF;PL əqrəb N;ACC;PL;PSS2P penis N;DAT;SG;PSS3P kərtənkələ N;GEN;DEF;SG dırnaq N;GEN;PL;PSS3P həqiqət N;NOM;SG gön N;NOM;PL sümük N;ACC;PL;PSS2P köynək N;GEN;SG;PSS3P oyuncaq N;ACC;DEF;SG xəzinə N;LOC;SG;PSS3P alça N;ABL;PL müzakirə N;ABL;SG;PSS3P ilan N;LOC;PL qulaq N;LOC;SG fəlsəfə N;ACC;PL;PSS3P dolab N;GEN;DEF;PL baldız N;LOC;PL;PSS1S mehrab N;ABL;PL keçi N;ACC;DEF;SG kəfgir N;GEN;PL;PSS2S düşman N;ACC;DEF;SG fəlsəfə N;DAT;SG;PSS3S göbək N;ACC;DEF;PL dırnaq N;NOM;PL;PSS2P pilləkən N;ACC;DEF;PL qardaş N;LOC;PL;PSS1S tərcümə N;ACC;PL;PSS2S vaza N;NOM;PL xəritə N;DAT;SG;PSS3P fəlsəfə N;DAT;PL;PSS3P zəfəran N;LOC;SG temperatur N;ABL;SG dinozavr N;NOM;SG tərcümə N;LOC;SG;PSS3S göz N;ACC;DEF;PL üz N;ABL;PL kölgə N;ACC;SG;PSS3S həqiqət N;GEN;DEF;PL bağırtı N;ACC;DEF;PL onurğa N;NOM;SG;PSS3S baldız N;NOM;PL;PSS2P alça N;DAT;PL;PSS1S kaktus N;ACC;DEF;SG əqrəb N;LOC;SG;PSS1S mizrab N;LOC;PL buynuz N;GEN;PL;PSS3P xər N;GEN;DEF;SG skripka N;ABL;SG vəziyyət N;ABL;SG;PSS3P hörümçək N;NOM;PL;PSS2S baldız N;LOC;SG;PSS3S diqqət N;ABL;PL ensiklopediya N;GEN;DEF;PL yemiş N;ACC;PL;PSS3S qələbə N;LOC;PL təzyiq N;LOC;PL dünya N;LOC;SG;PSS1S uşaqlıq N;DAT;PL;PSS3S dayanacaq N;ACC;DEF;PL buynuz N;LOC;PL;PSS3S bağırsaq N;GEN;DEF;PL amfiteatr N;LOC;SG şaftalı N;NOM;PL;PSS3S qardaş N;ACC;SG;PSS2P arxiv N;GEN;SG;PSS3P dirsək N;ABL;SG;PSS3P dibçək N;ACC;DEF;SG buynuz N;NOM;SG;PSS1S dirsək N;LOC;SG;PSS3S cəsəd N;LOC;SG açar N;GEN;SG;PSS2S hüceyrə N;NOM;PL;PSS1S sarımsaq N;ABL;PL yağış N;ACC;DEF;PL vəziyyət N;ABL;PL;PSS3S kəfgir N;ABL;SG;PSS3P kəfgir N;GEN;SG;PSS3S mənzərə N;LOC;PL;PSS3P təyyarə N;LOC;SG qardaş N;GEN;SG;PSS2S vaza N;LOC;PL;PSS3P qəlb N;LOC;PL;PSS3S uşaqlıq N;ACC;PL;PSS2P vertolyot N;ACC;DEF;PL düşmən N;LOC;PL arxiv N;ACC;SG;PSS2S fahişə N;ACC;DEF;SG tülpan N;ABL;SG şahmat N;ABL;PL təbiət N;GEN;DEF;SG istifadəçi N;GEN;DEF;PL dovşan N;ABL;SG süngü N;ABL;SG;PSS2P ana N;DAT;SG;PSS3S hörümçək N;DAT;PL;PSS3S qəlsəmə N;LOC;SG bayraq N;ABL;PL düşərgə N;ABL;PL mismar N;LOC;SG tərcümə N;NOM;PL;PSS2S kəlbətin N;ABL;SG cücü N;ABL;PL ana N;DAT;SG;PSS1S motosiklet N;LOC;PL canavar N;NOM;SG sümük N;ABL;SG;PSS3P film N;NOM;PL yəhudi N;NOM;SG biçin N;GEN;DEF;SG qatar N;ACC;DEF;SG əqrəb N;NOM;SG fəaliyyət N;ABL;PL;PSS3S tısbağa N;ABL;SG bağban N;GEN;DEF;PL mədrəsə N;LOC;PL can N;ABL;SG silah N;ACC;DEF;PL dırnaq N;NOM;SG;PSS2S dirsək N;NOM;PL;PSS1S vəziyyət N;NOM;SG;PSS3S qızılgül N;ACC;DEF;PL ilan N;ACC;DEF;PL saqqal N;ACC;DEF;PL ördək N;ABL;PL dinozavr N;NOM;PL;PSS2P ərik N;GEN;SG;PSS2S nəticə N;ACC;DEF;SG dinozavr N;ABL;PL;PSS3S beyin N;ABL;SG;PSS3P dəyirman N;ACC;DEF;SG dirsək N;LOC;SG;PSS3P müzakirə N;ACC;PL;PSS3S xoruz N;LOC;SG açar N;NOM;PL;PSS2S mələk N;ABL;SG;PSS3P süngü N;LOC;PL;PSS2P diqqət N;ABL;SG uşaqlıq N;ACC;SG;PSS3S sivilizasiya N;NOM;PL namaz N;LOC;SG;PSS1S baldız N;ABL;SG qonşu N;ABL;SG süngü N;DAT;SG;PSS3P müzakirə N;LOC;PL;PSS3P qulaq N;LOC;PL;PSS1S açar N;ACC;DEF;SG böyürtkən N;LOC;SG
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//Example 4.5 clc disp("The frequency of the oscillator is given by,") disp(" f = 1 / 2*pi*sqrt(R1*R2*C1*C2)") disp("For f = 10 kHz,") r2=(1/(4*(%pi^2)*(100*10^6)*(10*10^3)*(0.001*10^-12))) // in k-ohm format(6) disp(r2,"Therefore, R2(in k-ohm) =") disp("For f = 50 kHz,") r2=(1/(4*(%pi^2)*(2500*10^6)*(10*10^3)*(0.001*10^-12))) // in k-ohm format(6) disp(r2,"Therefore, R2(in k-ohm) =") disp("So minimum value of R2 is 1.013 k-ohm while the maximum value of R2 is 25.33 k-ohm")
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// Copyright (C) 2015 - IIT Bombay - FOSSEE // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // Author: Shubham Lohakare, Ashish Manatosh Barik // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in // function [outImg1, outImg2] = imdecolor(srcImg1) //Decolors and color boosts an image giving 2 outputs for the same respectively. // //Calling Sequence //[outImg1, outImg2] = imdecolor(srcImg1) // //Parameters //srcImg1 : It is a 3-channel input image. //outImg1 : It is a grayscale image of the image passed as input. //outImg2 : It is a color boosted image of the image passed as input. // //Description //This function is used to decolor an image and also add a boost to it's color //The output are 2 images, one is a grayscale and the other is a color boosted image // //Examples //var=imread("ImageName"); //[decoloredImage,colorBoostedImage] = imdecolor(var); //PRESS ENTER //imshow(decoloredImage); shows the decolored Image //imshow(colorBoostedImage); shows the color boosted image // //Examples //a = imread("images.jpeg"); //[b, c] = imdecolor(a); //PRESS ENTER //imshow(b); shows the decolored Image //imshow(c); shows the color boosted image // //Authors //Shubham Lohakare, NITK Surathkal //Ashish Mantosh, NIT Rourkela srcMat1 = mattolist(srcImg1) [out1, out2] = raw_imdecolor(srcMat1) channels1 = size(out1) channels2 = size(out2) for i = 1:channels1 outImg1(:, :, i) = (out1(i)) end for j = 1:channels2 outImg2(:, :, j) = (out2(j)) end endfunction
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compose_histogram.sci
// computes the histogram of observations and associated dispersion score // the dispersion score is computed as follows: disp(S) = (#bin of histogram ~= 0 / # of programs) // which is the ratio of activated bins to the number of programs to execute // inputs : // - m : a matrix containing observations to build histogram and dispersion score // - idx_col : index of columns of interest containing observations to take into account // outputs : // - measure : the computed dispersion score based on observations // - hist : histogram associated to the dispersion score function [measure, hist]=compute_metric(m,idx_col) measure=[]; //retrieve right data -> column perf=m(:,idx_col); //convert to double d=strtod(perf); ////prepare histogram //number of bins nb_bins = size(perf,1); cf =[]; ind=[]; //for each column to process for i = 1:size(idx_col,2) //compute histogram [tmp_cf,tmp_ind] = histc([0:nb_bins]/nb_bins,d(:,i)); //add to final histogram and frequencies cf = [cf,tmp_cf']; ind=[ind,tmp_ind]; end //finalize dispersion score measure = size(unique(ind,'r'),1); measure = measure/nb_bins; //and convert to string if necessary //measure = string(measure); //histogram also converted to string hist = string(cf); endfunction //a function to normalize and take care of missing values //the normalization is in [0;1], //missing values are replaced with '0' (at worst will add a bin) //each column are treated separately in turn and replace previous values //inputs : // - data : all data that will be processed (even columns which are not of interest) // - idx_col : indexes of columns of interest //outputs : // - d : matrix with all columns but columns are interest are normalized and missing value are replaced function d=normalize_and_fill(data,idx_col) //copy before replacing needed columns d = data; //for each column of interest, check if no value miss and if normalize in [0;1] for i = 1:prod(size(idx_col)) //consider specific column c = data(:,idx_col(i)); //remove possible"-nan" replacing them by '0' perf_red = c; perf_red(find(c == "-nan"))='0'; ////normalize //find columns which are not between [0;1] //normalize columns temp=strtod(perf_red); if(find(temp > 1 | temp < 0) ~= []) ma = max(temp); mi = min(temp); temp = (temp-mi)/(ma-mi); end //replace column with possible changes // d=d'; // d(idx_col(i),:) = temp'; // d=d'; d(:,idx_col(i)) = string(temp); end endfunction //a function to create histograms needed to compute dispersion scores //it also computates associate dispersion scores to videos //scores and histograms are stored in the given file //inputs : // - path : the path to the folder where data are // - filename : the file name containing are (csv format with ';' separating columns) // - idx_col : index of column containing measures of properties of interest //outputs : // all_histogram : all histogram put together // nb_rows : number of executions for a video function [all_histogram,nb_rows] = prepare_data(path,filename,idx_col) //read all data all_data = csvRead(path+filename,";",".","string"); all_data = normalize_and_fill(all_data,idx_col); //retrieve number of histogram to create unique_text_file = unique(all_data(:,1)); nb_rows = size(unique_text_file,1); all_histogram=[]; //for each video, retrieve corresponding lines in data, compute histogram and score, save in a matrix for(i=1:nb_rows) //retrieve lines of interest rows = all_data(find(all_data(:,1) == unique_text_file(i)),:); //compute histogram and score [measure,hist] = compute_metric(rows,idx_col); //////store results //because histogram is more than size of matrix -> put into a 1x1 mat //bins are separated by ' ' hist = strcat(hist,' '); //concatenation of results all_histogram = [all_histogram;hist]; end endfunction //function to create sets of 2 videos //retrieve the set providing the highest score //regarding a property of interest combining different observations : // histograms are kept separated and are processed as one multi-dimensional histogram //inputs : // - histograms : the set of all histograms available // - nb_cols : number of execution performed to compute histograms //outputs : // - measure : the dispersion scores of each possible set // - i : the index of the first video of each possible set // - j : the index of the second video of each possible set function [measure,i,j] = compose_2hist(histograms,nb_cols) measure = []; i = []; j = []; for curr_i = 1 : size(histograms,1) for curr_j = curr_i+1 : size(histograms,1) hist1 = csvTextScan(histograms(curr_i),' ','.','double'); hist2 = csvTextScan(histograms(curr_j),' ','.','double'); //resize so that cols are kept (no mix of different dimensions) hist1 = matrix(hist1,nb_cols,-1); hist2 = matrix(hist2,nb_cols,-1); //hist1T and hist2T are transposed of hist1 and hist2 respectively //hist1T and hist2T -> 1 line = 1 observation over all columns of interest hist1T = hist1'; hist2T = hist2'; //with different dimensions, a bin is not activated if // every bin of each dimension is not activated v=[]; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist2T~=0); v=[v;unique(v1)']; ///////dispersion score is still ///////the number of bins activated to the number of executions //measure = # of activated bins curr_measure = size(unique(v),1); //disp(curr_measure); //normalize nb_bins = max([size(hist1,2),size(hist2,2)]); curr_measure = curr_measure/nb_bins; //save measures and indexes measure = [measure; curr_measure]; i = [i; curr_i]; j = [j; curr_j]; end end endfunction // another way to compute distance between histograms // it uses the distance between two histograms // if distance is small, then the two histograms look like and do not bring much more information // on the contrary, if the distance is high, the histograms are likely to be different // and could provide a good set // DEPRECIATED // NOT UPDATED // NOT VERIFIED // function [dist, id1,id2] = distance(histograms) dist=[]; id1=[]; id2=[]; for i = 1 : size(histograms,1) for j = i+1 : size(histograms,1) hist1 = csvTextScan(histograms(i),' ','.','double'); hist2 = csvTextScan(histograms(j),' ','.','double'); ad=abs(size(hist2,2)-size(hist1,2)); mad = zeros(1,ad); if(size(hist1,2) < size(hist2,2)) then hist1 = [hist1,mad]; else hist2 = [hist2,mad]; end hist1_bool = bool2s(hist1~=0); hist2_bool = bool2s(hist2~=0); dist = [dist;norm(hist1_bool-hist2_bool)]; id1=[id1;i]; id2=[id2;j]; end end endfunction //function to create the set of 2 videos which give the highest dispersion score //retrieve the set providing the highest score //regarding a property of interest combining different observations : // histograms are kept separated and are processed as one multi-dimensional histogram //inputs : // - histograms : the set of all histograms available // - nb_cols : number of execution performed to compute histograms //outputs : // - measure : the dispersion scores of each possible set // - i : the index of the first video of each possible set // - j : the index of the second video of each possible set function [best_measure,best_i,best_j] = compose_2hist_best(histograms,nb_cols) best_measure = 0; best_i = 1; best_j = 2; for i = 1 : size(histograms,1) for j = i+1 : size(histograms,1) hist1 = csvTextScan(histograms(i),' ','.','double'); hist2 = csvTextScan(histograms(j),' ','.','double'); //resize so that cols are kept (no mix of different dimensions) hist1 = matrix(hist1,nb_cols,-1); hist2 = matrix(hist2,nb_cols,-1); //hist1T and hist2T are transposed of hist1 and hist2 respectively //hist1T and hist2T -> 1 line = 1 observation over all columns of interest hist1T = hist1'; hist2T = hist2'; //with different dimensions, a bin is not activated if // every bin of each dimension is not activated v=[]; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist2T~=0); v=[v;unique(v1)']; ///////dispersion score is still ///////the number of bins activated to the number of executions //measure = # of activated bins measure = size(unique(v),1); //normalize nb_bins = max([size(hist1,2),size(hist2,2)]); measure = measure/nb_bins; if(measure > best_measure) then best_measure = measure; best_i = i; best_j = j; end end end endfunction //function to create sets of 3 videos //regarding a property of interest combining different observations : // histograms are kept separated and are processed as one multi-dimensional histogram //inputs : // - histograms : the set of all histograms available // - nb_cols : number of execution performed to compute histograms //outputs : // - measure : the dispersion scores of each possible set // - i : the index of the first video of each possible set // - j : the index of the second video of each possible set // - k : the index of the third video of each possible set function [measure, i, j, k] = compose_3hist(histograms,nb_cols) measure = []; i = []; j = []; k = []; for curr_i = 1 : size(histograms,1) for curr_j = curr_i+1 : size(histograms,1) for curr_k= curr_j+1 : size(histograms,1) hist1 = csvTextScan(histograms(curr_i),' ','.','double'); hist2 = csvTextScan(histograms(curr_j),' ','.','double'); hist3 = csvTextScan(histograms(curr_k),' ','.','double'); //resize so that cols are kept (no mix of different dimensions) hist1 = matrix(hist1,nb_cols,-1); hist2 = matrix(hist2,nb_cols,-1); hist3 = matrix(hist3,nb_cols,-1); //hist1T and hist2T are transposed of hist1 and hist2 respectively //hist1T and hist2T -> 1 line = 1 observation over all columns of interest hist1T = hist1'; hist2T = hist2'; hist3T = hist3'; //with different dimensions, a bin is not activated if // every bin of each dimension is not activated v=[]; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist2T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist3T~=0); v=[v;unique(v1)']; ///////dispersion score is still ///////the number of bins activated to the number of executions //measure = # of activated bins curr_measure = size(unique(v),1); //normalize nb_bins = max([size(hist1,2),size(hist2,2),size(hist3,2)]); curr_measure = curr_measure/nb_bins; //save measures and indexes measure = [measure; curr_measure]; i = [i; curr_i]; j = [j; curr_j]; k = [k; curr_k] end end end endfunction //function to create the set of 3 videos which gives the highest dispersion score //regarding a property of interest combining different observations : // histograms are kept separated and are processed as one multi-dimensional histogram //inputs : // - histograms : the set of all histograms available // - nb_cols : number of execution performed to compute histograms //outputs : // - measure : the dispersion scores of each possible set // - i : the index of the first video of each possible set // - j : the index of the second video of each possible set // - k : the index of the third video of each possible set function [best_measure,best_i,best_j, best_k] = compose_3hist_best(histograms,nb_cols) best_measure = 0; best_i = 1; best_j = 2; best_k = 3; for i = 1 : size(histograms,1) for j = i+1 : size(histograms,1) for k = j+1 : size(histograms,1) hist1 = csvTextScan(histograms(i),' ','.','double'); hist2 = csvTextScan(histograms(j),' ','.','double'); hist3 = csvTextScan(histograms(k),' ','.','double'); //resize so that cols are kept (no mix of different dimensions) hist1 = matrix(hist1,nb_cols,-1); hist2 = matrix(hist2,nb_cols,-1); hist3 = matrix(hist3,nb_cols,-1); //hist1T and hist2T are transposed of hist1 and hist2 respectively //hist1T and hist2T -> 1 line = 1 observation over all columns of interest hist1T = hist1'; hist2T = hist2'; hist3T = hist3'; //with different dimensions, a bin is not activated if // every bin of each dimension is not activated v=[]; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist2T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist3T~=0); v=[v;unique(v1)']; ///////dispersion score is still ///////the number of bins activated to the number of executions //measure = # of activated bins measure = size(unique(v),1); //normalize nb_bins = max([size(hist1,2),size(hist2,2)]); measure = measure/nb_bins; if(measure > best_measure) then best_measure = measure; best_i = i; best_j = j; best_k = k; end end end end endfunction //function to create sets of 5 videos //regarding a property of interest combining different observations : // histograms are kept separated and are processed as one multi-dimensional histogram //inputs : // - histograms : the set of all histograms available // - nb_cols : number of execution performed to compute histograms //outputs : // - measure : the dispersion scores of each possible set // - i : the index of the first video of each possible set // - j : the index of the second video of each possible set // - k : the index of the third video of each possible set function [measure, i, j, k, l, m] = compose_5hist(histograms,nb_cols) measure = []; i = []; j = []; k = []; l = []; m = []; for curr_i = 1 : size(histograms,1) for curr_j = curr_i+1 : size(histograms,1) for curr_k = curr_j+1 : size(histograms,1) for curr_l = curr_k+1 :size(histograms,1) for curr_m = curr_l+1 : size(histograms,1) hist1 = csvTextScan(histograms(curr_i),' ','.','double'); hist2 = csvTextScan(histograms(curr_j),' ','.','double'); hist3 = csvTextScan(histograms(curr_k),' ','.','double'); hist4 = csvTextScan(histograms(curr_l),' ','.','double'); hist5 = csvTextScan(histograms(curr_m),' ','.','double'); //resize so that cols are kept (no mix of different dimensions) hist1 = matrix(hist1,nb_cols,-1); hist2 = matrix(hist2,nb_cols,-1); hist3 = matrix(hist3,nb_cols,-1); hist4 = matrix(hist4,nb_cols,-1); hist5 = matrix(hist5,nb_cols,-1); //hist1T and hist2T are transposed of hist1 and hist2 respectively //hist1T and hist2T -> 1 line = 1 observation over all columns of interest hist1T = hist1'; hist2T = hist2'; hist3T = hist3'; hist4T = hist4'; hist5T = hist5'; //with different dimensions, a bin is not activated if // every bin of each dimension is not activated v=[]; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist2T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist3T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist4T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist5T~=0); v=[v;unique(v1)']; ///////dispersion score is still ///////the number of bins activated to the number of executions //measure = # of activated bins curr_measure = size(unique(v),1); //normalize nb_bins = max([size(hist1,2),size(hist2,2),size(hist3,2),size(hist4,2),size(hist5,2)]); curr_measure = curr_measure/nb_bins; //save measures and indexes measure = [measure; curr_measure]; i = [i; curr_i]; j = [j; curr_j]; k = [k; curr_k]; l = [l; curr_l]; m = [m; curr_m]; end end end end end endfunction //function to create the set of 5 videos which gives the highest dispersion score //regarding a property of interest combining different observations : // histograms are kept separated and are processed as one multi-dimensional histogram //inputs : // - histograms : the set of all histograms available // - nb_cols : number of execution performed to compute histograms //outputs : // - measure : the dispersion scores of each possible set // - i : the index of the first video of each possible set // - j : the index of the second video of each possible set // - k : the index of the third video of each possible set // - l : the index of the fourth video of each possible set // - m : the index of the fifth video of each possible set function [best_measure,best_i,best_j,best_k,best_l,best_m] = compose_5hist_best(histograms,nb_cols) best_measure = 0; best_i = 1; best_j = 2; best_k = 3; best_l = 4; best_m = 5; for i = 1 : size(histograms,1) for j = i+1 : size(histograms,1) for k = j+1 : size(histograms,1) for l = k+1 :size(histograms,1) for m = l+1 : size(histograms,1) hist1 = csvTextScan(histograms(i),' ','.','double'); hist2 = csvTextScan(histograms(j),' ','.','double'); hist3 = csvTextScan(histograms(k),' ','.','double'); hist4 = csvTextScan(histograms(l),' ','.','double'); hist5 = csvTextScan(histograms(m),' ','.','double'); //resize so that cols are kept (no mix of different dimensions) hist1 = matrix(hist1,nb_cols,-1); hist2 = matrix(hist2,nb_cols,-1); hist3 = matrix(hist3,nb_cols,-1); hist4 = matrix(hist2,nb_cols,-1); hist5 = matrix(hist3,nb_cols,-1); //hist1T and hist2T are transposed of hist1 and hist2 respectively //hist1T and hist2T -> 1 line = 1 observation over all columns of interest hist1T = hist1'; hist2T = hist2'; hist3T = hist3'; hist4T = hist4'; hist5T = hist5'; //with different dimensions, a bin is not activated if // every bin of each dimension is not activated v=[]; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist2T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist3T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist4T~=0); v=[v;unique(v1)']; [v1,v2]=find(hist5T~=0); v=[v;unique(v1)']; ///////dispersion score is still ///////the number of bins activated to the number of executions //measure = # of activated bins measure = size(unique(v),1); //normalize nb_bins = max([size(hist1,2),size(hist2,2),size(hist3,2),size(hist4,2),size(hist5,2)]); measure = measure/nb_bins; if(measure > best_measure) then best_measure = measure; best_i = i; best_j = j; best_k = k; best_l = l; best_m = m; end end end end end end endfunction function measure = compose_all(histograms,nb_cols) measure = 0; v=[]; for i = 1 : size(histograms,1) hist1 = csvTextScan(histograms(i),' ','.','double'); hist1 = matrix(hist1,nb_cols,-1); hist1T = hist1'; [v1,v2]=find(hist1T~=0); v=[v;unique(v1)']; end measure = size(unique(v),1); nb_bins = max([size(hist1,2)]); disp(nb_bins); measure = measure/nb_bins; endfunction //observations of interest //cols= [2]; cols= [3]; //cols= [2,3]; //number of observations nb_col = prod(size(cols)); ////uncomment a line to process desired column histograms = prepare_data("../../../../../../data/HAXE/","all_data.csv",cols); //histograms_recall = prepare_data("all_data_real.csv",cols); //histograms_prec = prepare_data("all_data_real.csv",cols); /////uncomment line to compose different histograms regarding desired measure //[measure,i,j] = compose_2hist(histograms,nb_col); //[measure,i,j] = compose_2hist_best(histograms,nb_col); //[measure,i,j,k] = compose_3hist(histograms,nb_col); //[measure,i,j,k] = compose_3hist_best(histograms,nb_col); //[measure,i,j,k,l,m] = compose_5hist(histograms,nb_col); [measure,i,j,k,l,m] = compose_5hist_best(histograms,nb_col); //measure = compose_all(histograms,nb_col); ////// uncomment to display what indexes have been returned from previous calls disp(i); disp(j); disp(k); disp(l); disp(m); ////// display the dispersion score computed disp(measure); //////other way to compute distance between different histograms //[dist,i,j] = distance(histograms); //disp(dist);
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/src/algorithms/dump/EarthVenus.tst
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dwjohnston/geoplanets-model
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EarthVenus.tst
import Parameter from "../Parameter"; import Planet from "../algoComponents/Planet"; import LfoPlanet from "../algoComponents/LfoPlanet"; import Linker from "../algoComponents/Linker"; import {Color, Position, ClearAll} from 'blacksheep-react-canvas'; import AlgorithmInterface from "./AlgorithmInterface"; import BaseAlgorithm from "./BaseAlgorithm"; class EarthVenus extends BaseAlgorithm { constructor(onChangeCallback) { super(onChangeCallback); this.planets = [ //It should actually be 16.25 new Planet(13, 0.2, new Color(255, 255, 255, 0.4), new Position(0.5, 0.5), "venus", this.baseSpeed), new Planet(8, 0.3, new Color(255, 255, 255, 0.4), new Position(0.5, 0.5), "earth", this.baseSpeed), ] this.name = "original-earth-venus"; this.linkers = [ new Linker(this.planets[0], this.planets[1], 3), ] this.tickables = this.planets; super.initPaintClearFunction(); super.initRenderMap(); } getParams() { return super.getParams().concat(this.planets); } } export default EarthVenus;
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//// //Variable Declaration U = 1.00e3 //Total internal energy, J hnu = 1.00e-20 //Energy level separation, J NA = 6.022e23 //Avagadro's Number, 1/mol k = 1.38e-23 //Boltzmann constant, J/K n = 1 //Number of moles, mol //Calcualtions T = hnu/(k*log(n*NA*hnu/U-1.)) //Results printf("\n For Internal energy to be %4.1f J temperature will be %4.1f K",U,T)
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clc // Given that hi=10//in mm height of specimen ODi=30//in mm outside diameter IDi=15//in mm inside diameter ODf=38//in mm outside diameter after deformaton //Specimen is reduced in thickness by 50% hf=(50/100)*hi // Sample Problem on page no. 886 printf("\n # Determination of Cofficient of Friction # \n") IDf=sqrt((ODf^2)-((((ODi^2)-(IDi^2))*hi)/hf)) //new internal diameter calculated , by comparing the volume before and after deformation (3.14/4)*(ODi^2-IDi^2)*hi=(3.14/4)*(ODf^2-IDf^2)*hf ID=((IDi-IDf)/IDi)*100//change in internal diameter printf("\n\n With a 50 percent reduction in height and a %d reduction in internal diameter, from the book data Cofficient of Friction = 0.21",ID)
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clc; //Example 21.13 //page no 289 figure 21.1 printf("Example 21.13 page no 289 fig 21.1 \n\n\n"); //a pitot tube is inserted in acircular pipe to measure the flow velocity // the tube is inserted so that it points upstream into the flow and the pressure sensed by thre probeis the stagnation pressure //the change in elevation between the tip of the pitot and the wall pressure tap is negligible //the flowing fluid is soyabean oil at 20 deg C and the fluid in manometer tube is mercury //point 2 is a stagnation point ,P2>P1 and the manometer fluid should be higher on th eleft side(h<0) rho_m=13600//density of mercury,kg/m^3 h=0.04//height of mercury, rho=919//density of oil kg/m^3 g=9.804 D=0.055//diameter of pipe,m meu=0.04//viscosity of oil,kg.m.s v=sqrt(2*g*h*((rho_m/rho)-1))//flow velocity printf("\n flow velocity v=%f m/s",v); //assuming uniform velocity S=(%pi/4)*D^2 m_dot=rho*v*S//mass flow rate R_e=(D*v*rho)/meu//reynolds no printf("\n reynolds no R_e=%f ",R_e); printf("\n mass flow rate m_dot=%f kg/s",m_dot);
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/macros/distfun_chi2inv.sci
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papriwalprateek/distfun-scilab
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distfun_chi2inv.sci
// Copyright (C) 2012 - Prateek Papriwal // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // function x = distfun_chi2inv(varargin) // Chi-square Inverse CDF // // Calling Sequence // x = distfun_chi2cdf(p,k) // x = distfun_chi2cdf(p,k,lowertail) // // Parameters // p : a nxm matrix of doubles, the probability. // k : a 1x1 or nxm matrix of doubles, the number of degrees of freedom. k belongs to the set {1,2,3.......} // lowertail : a 1x1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<=x) otherwise P(X>x). // x : a nxm matrix of doubles, the outcome. x belongs to the set {0,1,2,3,......} // // Description // Computes the Inverse cumulative distribution function of // the Chi-square distribution function. // // Any scalar input argument is expanded to a matrix of doubles // of the same size as the other input arguments. // // Examples // // Test with p scalar, k scalar // computed = distfun_chi2inv(0.4,5) // expected = 3.6554996 // // // Test with expanded p, k scalar // computed = distfun_chi2inv([0.2 0.6],5) // expected = [2.3425343 5.1318671] // // // Test with p scalar, k expanded // computed = distfun_chi2inv(0.44,[4 7]) // expected = [2.9870195 5.827751] // // // Test with both p,k expanded // computed = distfun_chi2inv([0.22 0.66],[3 4]) // expected = [1.0878828 4.5215487] // // // Test small values of p // x = distfun_chi2inv(1.e-15,6) // expected = 0.0000363 // x = distfun_chi2inv(1.e-15,6,%f) // expected = 82.67507 // // Bibliography // http://en.wikipedia.org/wiki/Chi-squared_distribution // // Authors // Copyright (C) 2012 - Prateek Papriwal [lhs,rhs] = argn() apifun_checkrhs("distfun_chi2inv",rhs,2:3) apifun_checklhs("distfun_chi2inv",lhs,0:1) p = varargin(1) k = varargin(2) lowertail = apifun_argindefault(varargin,3,%t) // // Check type apifun_checktype("distfun_chi2inv",p,"p",1,"constant") apifun_checktype("distfun_chi2inv",k,"k",2,"constant") apifun_checktype("distfun_chi2inv",lowertail,"lowertail",3,"boolean") apifun_checkscalar("distfun_chi2inv",lowertail,"lowertail",3) // // Check Content apifun_checkrange("distfun_chi2inv",p,"p",1,0,1) apifun_checkgreq("distfun_chi2inv",k,"k",2,1) [p,k] = apifun_expandvar(p,k) if (p==[]) then x=[] return end path = distfun_getpath() internallib = lib(fullfile(path,"macros","internals")) q = distfun_p2q(p) if (lowertail) then x = distfun_invcdfchi(k,p,q) else x = distfun_invcdfchi(k,q,p) end endfunction
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//Chapter-1,Example1_15_6,pg 1-71 n=1 //first order maximum l=%i //wavelength of X ray //part 1:for(100) //using Bragg's law n*l=2*d*sin(q) q1=5.4 //glancing angle in degree dl1=n*l/(2*sind(q1)) //part 2:for(110) //using Bragg's law n*l=2*d*sin(q) q2=7.6 //glancing angle in degree dl2=n*l/(2*sind(q2)) //part 3:for(111) //using Bragg's law n*l=2*d*sin(q) q3=9.4 //glancing angle in degree dl3=n*l/(2*sind(q3)) //for taking ratio divide all dl by dl1 d1=dl1/dl1 d2=dl2/dl1 d3=dl3/dl1 printf("cubic lattice structure is=") disp(d3,d2,d1)
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function W=treina() //entrada x=[ 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 0 1 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 1 0 0 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 0 1 0 0 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 1 1 0 0 1 ; 0 0 1 0 0 1 0 1 1 0 0 1 0 0 0 1 1 0 1 0 0 ; 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 1 0 0 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 0 1 0 0 0 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 1 0 0 1 0 ; 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 1 0 0 ; 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 ; 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 1 1 ; 0 0 1 0 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 1 1 ; 0 1 1 0 1 0 1 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 0 1 1 0 0 ; 0 0 0 1 0 1 1 1 1 1 0 1 0 0 0 1 0 1 0 0 1 ; 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 1 0 0 1 0 ; 0 1 1 0 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 0 1 0 1 0 ; 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 ; 0 0 1 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 1 0 1 ; 0 0 1 0 0 1 1 1 1 1 1 0 1 0 0 0 0 0 1 0 1 ; 1 0 0 1 1 0 0 1 1 1 0 0 0 1 0 1 0 0 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 0 1 0 0 1 1 0 0 1 ; 0 0 1 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 1 1 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 0 1 0 0 0 1 0 0 1 ; 0 1 1 0 1 1 1 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ; 0 0 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 0 1 0 0 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 1 0 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 0 0 0 1 ; 0 1 1 0 1 0 1 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ; 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 1 0 0 ; 1 0 1 0 1 0 0 0 0 1 1 0 1 1 0 0 1 0 1 1 0 ; 1 0 1 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 ; 0 1 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ; 0 0 1 0 1 0 1 0 0 1 0 0 1 1 0 0 0 0 1 1 0 ; 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 0 0 1 0 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 1 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 0 1 0 1 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 0 0 0 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 1 0 1 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 ; 0 0 1 0 0 1 1 1 1 1 0 0 1 0 0 1 0 0 1 0 1 ; 0 0 1 0 0 1 1 0 0 0 0 0 1 1 1 0 0 1 1 1 1 ; 1 0 0 1 0 0 1 1 1 1 0 0 1 0 0 1 0 0 0 0 1 ; 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 1 0 0 1 ; 0 1 1 0 0 0 0 0 1 1 0 0 0 1 0 1 0 1 0 1 0 ; 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 1 0 0 1 0 ; 0 1 1 0 0 1 1 0 1 1 0 0 0 1 0 1 0 1 0 1 0 ; 0 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 0 0 0 1 0 ]'; //saida d=[ 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 1 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 1 0 0 ; 0 0 0 0 1 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 1 0 ; 0 0 0 0 1 0 0 ; 1 0 0 0 0 0 0 ; 1 0 0 0 0 0 0 ; 1 0 0 0 0 0 0 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 1 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 1 0 ; 0 1 0 0 0 0 0 ; 0 0 1 0 0 0 0 ; 0 0 1 0 0 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 1 0 0 0 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 1 0 ; 0 0 0 0 1 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 1 0 ; 0 0 0 0 1 0 0 ; 0 1 0 0 0 0 0 ; 0 1 0 0 0 0 0 ; 0 0 0 0 0 1 0 ; 0 1 0 0 0 0 0 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 1 0 0 0 0 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 1 0 0 0 0 0 ; 0 0 1 0 0 0 0 ; 1 0 0 0 0 0 0 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 0 1 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 1 0 ; 0 0 0 0 0 1 0 ]'; disp(size(x)); disp(size(d)); disp(".::::::::::::: EXECUTANDO O TREINA :::::::::::::."); //Definindo arquitetura da rede NeuralNetwork = [21 14 7]; //Criando rede inicial W = ann_FF_init(NeuralNetwork); disp(".::::::::::::: PESOS INICIAIS :::::::::::::."); disp(W); //===============Treinando a rede=========== //Taxa de aprendizagem e limiar do erro lp = [0.01, 1e-3]; //Maximo numero de épocas epochs = 3000; //treinando W = ann_FF_Std_batch(x,d,NeuralNetwork,W,lp,epochs); disp(".::::::::::::: PESOS ATUALIZADOS :::::::::::::."); disp(W); save('ANN_treina.sod', 'W', 'NeuralNetwork');// armazena todos os valores do treinamento endfunction
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//clc() mTSPd = 1000;//kg ( basis - 20% dilute TSP ) P = 20;//% mTSP = mTSPd * P / 100; NTSP = mTSP / 163.974; msodaashd = NTSP * 106; mphacidd = NTSP * 97.998; mNaOHd = NTSP * 40.008; Pphacid = 85;//% (85% solution phosphoric acid) PNaOH = 50;//% (50% solution NaOH) //let x be the water in soda ash, //taking water balance, x = (mTSPd - mTSP) - mNaOHd * PNaOH /(100 - PNaOH) - mphacidd * (100 - Pphacid) / Pphacid; msodaash = msodaashd + x; C = msodaashd *100 / msodaash; disp("%",C,"(a)Concentration of soda ash solution = ") mphacid = mphacidd * 100 / Pphacid; R = msodaash / mphacid; disp(R,"(b)Weight ratio in which soda ash and commercial phosphoric acid are mixed = ")
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P=200//in kN b=200//width, in mm D=350//depth, in mm sigma_cc=5//in MPa sigma_cbc=7//in MPa m=13.33//modular ratio Mxx=6//in kN-m Myy=4//in kN-m cover=40//in mm eff_cover=cover+25/2//in mm Asc=4*0.785*25^2//four 25 mm dia bars, in sq mm Ag=b*D//in sq mm Ac=Ag-Asc//in sq mm sigma_cc_cal=P*10^3/(Ac+1.5*m*Asc)//in MPa //to find bending stress on XX axis Ixx=b*D^3/12 + (m-1)*Asc*(D/2-eff_cover)^2//in mm^4 Zxx=Ixx/(D/2)//in mm^3 sigma_cbc_xx=Mxx*10^6/Zxx//in MPa //to find bending stress on YY axis Iyy=D*b^3/12 + (m-1)*Asc*(b/2-eff_cover)^2//in mm^4 Zyy=Iyy/(b/2)//in mm^3 sigma_cbc_yy=Myy*10^6/Zyy//in MPa sigma_cbc_cal=sigma_cbc_xx + sigma_cbc_yy//in MPa sigma_max=sigma_cc_cal + sigma_cbc_cal//in MPa sigma_min=sigma_cc_cal - sigma_cbc_cal//in MPa mprintf("Maximum stress = %f MPa (compressive)\nMinimum stress = %f MPa (tensile)", sigma_max,sigma_min)
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V1=3300 f=50 N1=100 N2=300 Z=100+35*%i flux_max=V1/(sqrt(2)*%pi*f*N1) V2=V1*N2/N1 I2=V2/Z I1=N2/N1*I2 S=V1*conj(I1) Z1=Z*(N1/N2)^2 disp(flux_max) disp(I1,I2) disp(real(S),imag(S)) disp(Z1)
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//Caption:What resistance must be inserted in series with the armature to reduce the speed to 500 rpm //Exam:2.40 clc; clear; close; V=250;//applied voltage to a shunt motor(in V) I_a=20;//armature current(in Amp) R_a=0.5;//armature resistance(in Ohm) N_1=1000;//speed of the motor due to these readings(in rpm) E_1=V-I_a*R_a;//emf induced in machine(in V) N_2=500;//desired speed of the motor(in rpm) E_2=(N_2/N_1)*E_1;//emf in case of motor speed N_2 //R_1 additional resistance added to reduce the speed to 500 rpm R_1=(V-E_2)/I_a-R_a;//resistance applied in series with armature to reduce the speed to 500 rpm disp(R_1,'resistance applied in series with armature to reduce the speed to 500 rpm(in Ohm)=');
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Ex4_6.sce
// Given:- // At Entry:= t1=20.0 // Temperatue in deg celcius p1=1.0 // pressure in atm AV1= 0.1 // volumetric flow rate in litre/s D1=2.5 // Diameter of th hose in cm // At Exit:= t2=23.0 // temperatuer in deg celcius p2=1.0 // pressure in atm V2=50.0 // Velocity in m/s Z2=5.0 // elevation in m g= 9.8 // acceleration due to gravity in m/s^2 // from table A-2 and A-19:- v= (1.0018)*((10.0)**(-3)) // specific volume in m^3/kg c= 4.18 // Calculation:- mdot = (AV1/1000)/v // mass flow rate in kg/s V1= (AV1/1000)/(3.14*(D1/(2*100))**2) // Entry velocity in m/s deltah = c*(t2-t1)+v*(p2-p1) Wcvdot= ((mdot*10)/9)*(-deltah+(V1**2-V2**2)/(2*1000)+g*(0-Z2)/1000) // Results:- printf( ' The power input to the motor is %.2f kw',Wcvdot)
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/////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////// Tendance Variable/////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////// // Fonction phi0_i //////////////////////////////////////////////////////// function phi0_vect = Phi0(n,h,phi1,phi2,lnf,lnf0) // Fonction support pour le calcul de phi0(i) // lnforward le logatithme du forward // sigma la volatilite // lambda la vitesse de retour a la moyenne // h le pas de temps des simulations /////////////////////////////////////////////////////// phi0_vect = zeros(1,n); phi0_vect(1) = lnf(1)-phi1*lnf0-(exp(phi2/2)/2); phi0_vect(2:n) = lnf(2:n)-phi1*lnf(1:n-1)-((exp(phi2/2)/2)*(1+phi1^(2*(2:n)-1))/(1+phi1)); //////////////////////////////////////////////////////// // Fonction Simul_Xt_Var //////////////////////////////////////////////////////// function Xt_var = Simul_Xt_Var(n,h,lambda,sigma,lnforward,lnf0) // Simulation d'un processus d'OU avec tendance variable // X(i+1) - phi1*X(i)-phi0_i = sigma_e*N(0,1) // n nombre de simulations // lnforward le logatithme du forward // sigma la volatilite // lambda la vitesse de retour a la moyenne // h le pas de temps des simulations /////////////////////////////////////////////////////// phi0_vect = zeros(1,n); Xt_var = zeros(1,n); phi1 = exp(-lambda*h); sigma_e = sqrt((1-phi1^2)/(2*lambda))*sigma; phi2 = log(sigma_e^2); phi0_vect = Phi0(n,h,phi1,phi2,lnforward,lnf0); Xt_var(1) = phi0_vect(1)+(sigma_e*rand(1,1,"normal")); for i=1:n-1 Xt_var(i+1) = phi0_vect(i+1)+(phi1*Xt_var(i))+(sigma_e*rand(1,1,"normal")); end //////////////////////////////////////////////////////// // Fonction Calage_Xt_Var //////////////////////////////////////////////////////// function Param_Theta = Calage_Xt_Var(n,h,X,X0,lnf,lnf0) // Calage d'un processus d'OU avec tendance variable // X(i) = phi0(i) + phi1*X(i-1) + sigma_e*normal(0,1) // n nombre de simulations // Xt_Var un echantillon de X(ih) // h le pas de temps // lnforward le logatithme du forward // sigma la volatilite // lambda la vitesse de retour a la moyenne /////////////////////////////////////////////////////// Y = zeros(1,n); Y(1:n) = {X0,X(1:n-1)}; Param = zeros(1,3); Param = MCO_Const(n,h,X,X0); lambda_init = Param(2); sigma_init = Param(3); phi1_init = exp(-lambda_init*h); sigma2_e_init = ((1-phi1_init^2)/(2*lambda_init))*sigma_init^2; phi2_init = log(abs(sigma2_e_init)); //disp([lambda_init sigma_init],'lambda_init sigma_init'); [Lv, Param, gradopt] = optim(list(Log_vraisemblance_Var,n,h,X,X0,lnf,lnf0),[phi1_init phi2_init],'gc') Param_Theta(1) = -log(abs(Param(1)))/h;//lambda Param_Theta(2) = exp(Param(2)/2)*sqrt(abs(2*Param_Theta(1)/(1-exp(-2*Param_Theta(1)*h))));//sigma //////////////////////////////////////////////////////// // Fonction Log_vraisemblance_Var //////////////////////////////////////////////////////// function [Lv, grad, ind] = Log_vraisemblance_Var(x,ind,n,h,X,X0,lnf,lnf0) // Log-vraisemblance pour un processus d'OU avec tendance variable // X(i) = phi0(i) + phi1*X(i-1) + sigma_e*normal(0,1) // n nombre de simulations // X un echantillon de (Xt) // lnforward le logatithme du forward // grad le gradient de la Log-vraisemblance // Lv la vraisemblance // x parametres a optimiser lambda et sigma //////////////////////////////////////////////////////// phi1 = x(1); phi2 = x(2); cst = %pi; phi0_vect = zeros(1,n); Y = zeros(1,n); Y(1:n) = {X0,X(1:n-1)}; F = zeros(1,n); F = {lnF0,lnf(1:n-1)}; H = (1+phi1^(2*(1:n)-1))/(1+phi1); G = ((1+phi1)*(2*(1:n)-1).*phi1^(2*(1:n)-2)-(1+phi1^(2*(1:n)-1)))/((1+phi1)^2); phi0_vect = Phi0(n,h,phi1,phi2,lnf,lnf0); Lv = -(n/2)*(log(2*cst)+phi2+mean((X-phi1*Y-phi0_vect)^2*exp(-phi2))); grad(1) = n*mean((X-phi1*Y-phi0_vect).*(Y-F-(G*exp(phi2)/2))*exp(-phi2));//(-phi1*h)* grad(2) = (n/2)*(mean((X-phi1*Y-phi0_vect)^2*exp(-phi2)-(X-phi1*Y-phi0_vect).*H)-1); //disp([lambda sigma phi1 phi2 Lv grad(1) grad(2)],'lambda sigma phi1 phi2 Lv grad12') Lv = -Lv; grad = -grad; //////////////////////////////////////////////////////// // Fonction Residu_Var //////////////////////////////////////////////////////// function [Resid, Autocorr, BP_Test, Probac, JB_Test, S, K, Proban] = Residu_Var(n,h,theta,X,X0,lnf,lnf0,alpha) // Calcul des residus sur le modele a tendance variable // Test de Box-Pierce pour les residus // et test d'abscence d'aurocorrelation // X(i+1) - phi1*X(i)-phi0_i= sigma_e*N(0,1) // X un echantillon de (Xt) // theta parametres a optimiser mu,lambda et sigma // n nombre de simulations // lnforward le logatithme du forward // h le pas de temps // alpha le quantil de probabilite de rejet /////////////////////////////////////////////////////// phi0_vect = zeros(1,n); Resid = zeros(1,n); Y = zeros(1,n); Zi = zeros(1,n); phi1 = exp(-theta(1)*h); sigma_e = sqrt((1-exp(-2*h*theta(1)))/(2*theta(1)))*theta(2); phi2 = log(sigma_e^2) phi0_vect = Phi0(n,h,phi1,phi2,lnf,lnf0); Y(1:n) = {X0,X(1:n-1)}; Resid = (X-phi1*Y-phi0_vect)/sigma_e; k = floor(n/3); moyenne = mean(Resid); var = mean((Resid-moyenne)^2); Autocorr = zeros(1,k); for i=1:k Zi = 0*Zi; Zi(1:n-i) = Resid((i+1):n)-moyenne; Autocorr(1,i) = mean((Resid-moyenne).*(Zi))/var; end //Khi-deux a k-p-q degres de liberte. BP_Stat = n*k*mean(Autocorr^2); [p,Probac] = cdfchi("PQ",BP_Stat,k-1); BP_Test = 1*(Probac >= alpha);//1:accepter hypothese absence autocorrelation 0:rejet u1 = mean(Resid); u2 = mean((Resid-u1)^2); u3 = mean((Resid-u1)^3); u4 = mean((Resid-u1)^4); S = u3^2/u2^3; K = u4/u2^2; JB_Stat = (n/6)*(S+(1/4)*(K-3)^2); [p,Proban] = cdfchi("PQ",JB_Stat,2); JB_Test = 1*(Proban >= alpha);//1:accepter hypothese de normalite 0:rejet
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clc //initialisation of variables Ka= 1.8*10^-5 a= 0.1 //molar //CALCULATIONS pH= -log10(Ka) //RESULTS printf (' pH of a buffer solution = %.2f ',pH)