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Ex10_16.sce
//scilab 5.4.1 clear; clc; printf("\t\t\tProblem Number 10.16\n\n\n"); // Chapter 10 : Refrigeration // Problem 10.16 (page no. 539) // Solution //Let us first consider the cycle as a refrigeration cycle //In problem 10.1 T1=70+460; //70F=70+460 R //Energy flows into the system at reservoir at constant temperature T1(unit:R) T2=0+460; //0F=32+460 R //Heat is rejected to the constant temperature T2(Unit:R) COP=T2/(T1-T2); //Coefficient of performance printf("Coefficient of performance(COP) of the cycle is %f\n\n",COP); Qremoved=1000; //Unit:Btu/min //heat removal WbyJ=Qremoved/COP; //the power input //unit:Btu/min printf("The power input is %f Btu/min\n\n",WbyJ); Qrej=Qremoved+WbyJ; //The rate of heat rejected to the room //Unit:Btu/min printf("The rate of heat rejected to the room is %f Btu/min\n",Qrej); printf("The COP as a heat pump is %f\n",Qrej/WbyJ); printf("As a check,COP of heat pump is %f = 1 + COP of carnot cycle %f",Qrej/WbyJ,COP);
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//checking for the convergence and divergence of different functions we are getting after rearrangement of the given quadratic equation x^2-2*x-8=0. //after first type of arrangement we get a function gx=(2*x+8)^(1/2).for this we have.. clear; clc; close(); alpha=4; I=alpha-1:alpha+1;//required interval deff('[f1]=gx(x)','f1=(2*x+8)^(1/2)'); deff('[f2]=diffgx(x)','f2=(2*x+8)^(-0.5)'); x=linspace(3,5); subplot(2,1,1); plot(x,(2*x+8)^(1/2)) plot(x,x) x0=5; if diffgx(I)>0 disp('Errors in two consecutive iterates are of same sign so convergence is monotonic') end if abs(diffgx(x0))<1 disp('So this method converges') end //after second type of arrangement we get a function gx=(2*x+8)/x.for this we have.. deff('[f1]=gx(x)','f1=(2*x+8)/x'); deff('[f2]=diffgx(x)','f2=(-8)/(x^2)'); x=linspace(1,5); for i=1:100 y(1,i)=2+8/x(1,i); end subplot(2,1,2); plot(x,y) plot(x,x) x0=5; if diffgx(I)<0 disp('Errors in two consecutive iterates are of opposite sign so convergence is oscillatory') end if abs(diffgx(x0))<1 disp('So this method converges') end
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// scilab Code Exa 18.17 three stage steam turbine t1=250; // Initial Temperature in degree C n_T=0.75; // overall Efficiency of the turbine p1=10; //Initial Pressure in bar n_m=0.98; // Mechanical Efficiency m=5; N=1e3; // rotor Speed in RPM H=45; // height in m ro=1e3; g=9.81; // Gravitational acceleration in m/s^2 Q=2.5; // discharge in m3/s P=(ro*Q*g*H)/(n_T); delh_T=P/(m*n_m*1e3); delh_st=delh_T/3; delh1_4ss=delh_T/n_T; //part(a)steam conditions h1=2940; // from Mollier diagram disp("(a)steam conditions at the turbine exit are:") h_4ss=h1-delh1_4ss; p4=1.2; // in bar disp("bar",p4,"pressure:") h4=2640; x4=0.98; t4=104.8; // in degree C disp("degree C",t4,"temperature:") disp(x4,"the dryness fraction is:") // part(b)stage Efficiencies h2=h1-delh_st; p2=5; h3=h2-delh_st; p3=2.5; h4=h3-delh_st; h2s=2795; h3s=2705; h4s=2605; n_st1=delh_st/(h1-h2s); n_st2=delh_st/(h2-h3s); n_st3=delh_st/(h3-h4s); disp ("%",n_st1*100,"(b)Efficiency of the first stage is") disp ("%",n_st2*100,"Efficiency of the second stage is") disp ("%",n_st3*100,"Efficiency of the third stage is")
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clc; clear all; e = 1.6e-19; // Charge of an electron m = 9.11e-31; // Mass of an electron in Kg r = 1.73e-8 ; // Resistivity of copper in ohm meter at = 63.5; // Atomic weight of copper in gm d = 8.92e3; // Density of copper in Kg per cubic meter N = 6.023e26; // Avagadros number n = (N*d)/at; //Carrier Concentration rhoc = 1/r // Conductivity of copper t = (rhoc*m)/(n*e^2); //Average collision time u = rhoc/(n*e);// Mobility of electrons in copper disp('m^2/(V.s)',u,'Mobility of electrons in copper is') disp('s',t,'Average time collision of electrons in copper') //Wrong answer printed in textbook of aberage time collision
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clc; e=1.6*10^-19; //charge on an electron in coulomb i=1; //current in Ampere n=i/e; //calculating no of electrons/sec disp(n,"No. of electrons flowing per second = "); //displaying result
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//refer Fig.1.22(a) in the textbook //resistance between A and B is removed //I1 be current in branch CD //applying KCL //100-I1 is the current in branch AF //I1-50 is the current in branch DE //70-I1 is the current in branch FE //applying KVL for mesh CDEFC, we get, I1=56 V=.1*I1+.15*(I1-50) //thevenin's voltage r=(.1+.15)*(.1+.15)/(.25+.25) //thevenin's equivalent resistance I=V/(r+.05) mprintf("Current flowing in the branch AB of 0.05 ohm resistance is %f A", I)
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// Example 5.7 format('v',5) clc; clear; close; // given data R_E= 2*10^3;// in Ω R_C= 1*10^3;// in kΩ V_E= 4.3;//in V V_CC= 15;// in V I_E= V_E/R_E;// in A I_C= I_E;//in A // In the first stage the collector voltage V_C= V_CC-I_C*R_C;// in A disp(V_C,"In the first stage the collector voltage in volts is : "); // Second stage V_E= 2.3;// in V R_E= 220;// in Ω R_C= 470;// in Ω I_E= V_E/R_E;// in A I_C= I_E;//in A // In the second stage the collector voltage V_C= V_CC-I_C*R_C;// in A disp(V_C,"In the second stage the collector voltage in volts is : "); // Note : In the book, the calculated value of collector voltage in first stage is not accurate.
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exec('testplot.sce',-1) A=gca();data_bounds=A.data_bounds, replot([0.5,0.5,1,1]); // modify A. data_bounds A.data_bounds replot(data_bounds'); // revert to initial plot A.data_bounds
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function y=like(x) if x<0 then error("het aantal likes moet positief zijn") end if x<=1000 then y=x elseif x<=5000 y=1000+0.80*(x-1000) else y=1000+0.80*4000+1.20*(x-5000) end endfunction clf x=0:7000 xgrid plot(x,like)
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//Example No. 3.7 clc; clear; close; format('v',7); //Given Data : w=400;//Kg v=1;//m/s MotorSpeed=1000;//rpm MoI=0.5;//Moment of Inertia in Kg-m^2 winch=0.3;//Kg-m^2 Tnl=80;//N-m Speed_nl=1000;//rpm g=9.81;//gravity constant //Solution : mass=w*g;//N omega=MotorSpeed*2*%pi/60;//rad/sec TotTorque=Tnl+mass*v/omega;//N-m disp(TotTorque,"Total Motor Torque in N-m : "); J=MoI+winch+w*(v/omega)^2;//Kg-m^2 disp(J,"Moment of Inertia refered to motor shaft in Kg-m^2 : ");
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clc // Given That aperture=6.4e-3// linear aperture in cm lambda=6.24e-5// wavelength in cm f=50// separation between lens and screen in cm n=1// for first order spectrum //Sample Problem 28 Page No. 58 printf("\n # Problem 28 # \n") printf(" \n Standard formula used \n a*sin(theta ) = lambda \n") sin_theta=n*lambda/aperture d=f*sin_theta printf("\n Distance between the center and the first fringe is %f cm.\n",ceil(d*100)/100)
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// Scilab Code Ex4.15:: Page-4.24 (2009) clc; clear; mu_o = 1.51; // Refractive index of ordinary wave mu_e = 1.55; // Refractive index of extraordinary wave lambda = 6000e-008; // Wavelength of light used, m // As for a half wave plate, (mu_o - mu_e)*t = lambda/4, solving for t t = lambda/(2*(mu_e - mu_o)); // The thickness of a quarter wave plate for wavelength, cm printf("\nThe thickness of a half wave plate quartz = %4.2e cm", t); // Result // The thickness of a half wave plate quartz = 7.50e-004 cm
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enba.0.tst
a b b a s আ ব ্ ব া স a b d u l r a p h i k আ ব দ ু ল র ফ ি ক a b e r d a r e আ ব ে র ড ে য় া র a b e r d e e n আ ব ে র দ ি ন a b h a i p u r অ ভ য় প ু র a b u k a l a m আ ব ু ক া ল া ম a c h a l p u r অ চ ল প ু র a c t u n অ ্ য া ক ট ু ন a d a i r আ দ ে র a d e c c o অ ্ য া ড ে ক ো a d i r o n d a c k আ দ ি র ো ন ্ দ া ক a d l a b s অ ্ য া ড ল ্ য া ব স a f f r i q u e আ ফ ্ র ি ক ে a f r i d i আ ফ ্ র ি দ ি a g n e w এ গ ন ে a h a n g a m a আ হ া ঙ ্ গ া ম া a i b h i আ ই ভ ি a i n d r a l a ঐ ন ্ দ ্ র ি ল া a j a h a r a l i আ জ া হ া র আ ল ি a j a x অ ্ য া জ া ক ্ স a j i f a আ জ ি ফ া a j i j আ জ ি জ a j i m a আ জ ি ম া a j m a l আ জ ম ল a j m i r a আ জ ম ি র া a k i t s u আ ক ি ত স ু a k r u r অ ক ্ র ু র a l a m c h a n d আ ল ম চ া ঁ দ a l b e r t a আ ল ব ে র ্ ট া a l b i e আ ল ব ি ন a l o k k a n t i অ ল ক ক া ন ্ ত ি a l o k n a t h অ ল ো ক ন া থ a m a l আ ম া ল a m a r অ ম র a m a r e s h অ ম র ে শ a m a z i n g অ ্ য া ম ে জ ি ং a m a z o n i a আ ম া জ ো ন ি য় া a m b a s a m u d r a m আ ম ব া স া ম ু দ ্ র ম a m e n i t i e s এ ম ে ন ি ট ি স a m e r a d a আ ম ে র ড া a m i t r a n j a n অ ম ি ত র ঞ ্ জ ন a m m a s a n d r a অ ম ্ ম া স া ন দ ্ র া a m r o h a অ ম র ো হ া a n a d y r আ ন া দ ি র a n a n d আ ন ন ্ দ a n a r u l আ ন া র ু ল a n d r e a অ ্ য া ন দ ্ র ি য় া a n i l অ ন ি ল a n i l r a n j a n অ ন ি ল র ঞ ্ জ ন a n k u s h অ ঙ ্ ক ু শ a n n অ ্ য া ন a n n a h a r আ ন ্ ন ে হ া র a n o y a r a k h a t u n আ ন ো য া র া খ া ত ু ন a n u r a s i r i অ ন ু র া স ি র ি a p a c h e অ ্ য া প া চ ে a q u a r i u m অ ্ য া ক ু র ি য় া ম a r j e b a n u আ র জ ে ব া ন ু a r n h e m আ র ্ ন হ ে ম a r p i t a অ র ্ প ি ত া a s a m a আ স া ম া a s a t t a r আ ঃ স া ত ্ ত া র a s h b y আ স ব ি a s h c r o f t অ ্ য া শ ক ্ র ফ ট a s h i s k u m a r আ শ ি স ক ু ম া র a s h r a f i আ স র ফ ি a s l a n a আ স ল া ন া a s l a o d a আ স ল া ও দ া a s m a t a r a b i b i ই স ম া ত া র া ব ি ব ি a s o m অ স ম a s r a f আ স র া ফ a s w i n i অ শ ্ ব ি ণ ী a t a c a m a আ ট া ক া ম া a t h a r আ থ া র a t h l e t i c s আ থ ্ য ে ল ্ ট ি ক ্ স a t i n d r a অ ত ী ন ্ দ ্ র a t l a n t i c আ ট ল া ন ্ ট ি ক a u n s h u m a n আ ন স ু ম া ন a u s t i n অ স ট ি ন a u s t r a l অ স ্ ট ্ র া ল a u s t r o অ স ্ ট ্ র ো a u w a ঔ য় া a x c a n অ ্ য া ক ্ স ক া ন b a a l d e ব ল দ ে b a b a r a l i ব া ব র আ ল ি b a c a r d i ব া ক া র ্ ড ি b a c h c h u ব া চ ্ চ ু b a d a u s a ব া দ া উ স া b a d a w i ব া দ া ত ী b a d d i n a t h ব দ ্ দ ি ন া থ b a g h o r a ব া গ হ ো র া b a h i l p u r w a ব া হ ি ল প ু র য় া b a h j o i ব া হ জ য় b a i r a g n i a ব ৈ র া গ ন ি য় া b a k h s h i ব খ ষ ী b a k u l a ব ক ু ল া b a l ব া ল b a l a u d a ব া ল া ও দ া b a l a w a l a ব া ল া ও য় া ল া b a l b o a ব া ল ্ ব া ও b a l c h a n d ব া ল চ া ঁ দ b a l d e b ব ল দ ে ব b a l h i ব া ল হ ী b a l i k a ব া ল ি ক া b a l i p a r a ব া ল ি প া র া b a l l a b h a ব ল ্ ল ভ া b a l l a l ব ে ল ্ ল া ল b a n b i h a r i ব ন ব ি হ া র ী b a n c h a ব া ঞ ্ ছ া b a n i ব ন ি b a n k i m c h a n d r a ব ঙ ্ ক ি ম চ ন ্ দ ্ র b a n k u r a ব া ঁ ক ু ড় া b a n s h i b a d a n ব ং শ ী ব দ ন b a n w a l i ব ন য় া ল ি b a n y a n ব ্ য া ন ি য় া ন b a o s t e e l ব া য় ো স ্ ট ী ল b a r a j a s ব া র জ া স b a r a r a ব া র া র b a r c h o n ব া র চ ো ন b a r n a b a l a ব র ্ ণ ব া ল া b a r p a l i ব া র প া ল ি b a s a i ব স া ই b a s a k ব া স ক b a s a n t i ব া স ন ্ ত ি b a s a v a ব স া ভ া b a s i r a m ব া স ী র া ম b a s k e ব া স ক ে b a s t i ব া স ্ ত ি b a t e s h w a r ব ট ে শ ্ ব র b a t i j a ব ত ি য া b a t t i c e ব ্ য া ট ি স ি b a u d i n ব া ঊ দ ি ন b a w a ব া ও য় া b a w a l ব া য় া ল b e a r d ব া র ্ ড b e a u f o r t ব ি উ ফ ো র ্ ট b e c h a r a n i ব ে চ া র া ন ী b e c h u r a m ব ে চ ু র া ম b e d a n i ব ে দ া ন ী b e d r e d d i n ব ে ড ্ র ে দ ্ দ ি ন b e h a r i ব ে হ া র ী b e l l ব ে ল b e n e d e t t o ব ে ন ে ড ে ট ্ ট ো b e n e f i c e n c e ব ে ন ে ফ ি স ে ন ্ স b e n k e n s t e i n ব ে ঙ ্ ক ি ন ্ ট ন b e n u b a l a ব ে ন ু ব া ল া b e r e n d r e c h t ব ্ য া র ে ন ড ্ র ে চ ট b h a b a n i r a n i ভ ব া ন ী র া ন ী b h a b a n i s h a n k a r ভ ব া ন ী শ ঙ ্ ক র b h a b a r a n j a n ভ ব র ঞ ্ জ ন b h a b e s h ভ ব ে শ b h a d u ভ দ ু b h a g i t a t h i ভ া গ ী র থ ী b h a j ভ জ b h a j a h a r i ভ জ হ র ী b h a k t i b a l a ভ ক ্ ত ি ব া ল া b h a k t i p a d ভ ক ্ ত ি প দ b h a l l a ভ া ল ্ ল া b h a r t i ভ া র ত ী b h a t k h e d e ভ া ট খ ে দ ে b h a t o n ভ া ত ন b h a t t i ভ া ট ্ ট ি b h o j p u r ভ ো জ প ু র b h o j u d i h ভ ো জ ু দ ি b h o r e ভ ো র ি b h u d h a r ভ ূ ধ র b h u l a n p u r ভ ূ ল া ন প ু র b h u t e n ভ ু ট ে ন b h u t u n a t h ভ ু ত ু ন া থ b h u v a n e s w a r i ভ ু ব ন ে শ ্ ব র ী b i b l e ব া প ্ ট ি স ্ ট b i c h p u r i ব ি ছ প ু র ি b i d h u b h u s h a n ব ি ধ ু ভ ূ ষ ণ b i d u b a l a ব ি দ ু ব া ল া b i d u p u r ব ি দ ু প ু র b i d y a b a t i ব ি দ ্ য় া ব ত ী b i h t a ব ি হ ত া b i j u l i ব ি জ ু ল ী b i k r a m p u r ব ি ক ্ র ম প ু র b i l a n u r ব ি ল া ন ু র b i l a s p u r i ব ি ল া স প ু র ি b i l b a n a t h ব ি ল ্ ব ন া থ b i l k h a ব ি ল ্ খ া b i l k i s b e g a m ব ি ল ক ি স ব ে গ ম b i l l a l ব ি ল ্ ল া ল b i m a l k r i s h n a ব ি ম ল ক ৃ ষ ্ ণ b i m l i ব ি ম ল ী b i n a t i ব ি ন ত ি b i n d r a ব ি ন দ ্ র া b i n o d i n i ব ি ন ো দ ি ন ী b i o c h e m ব া য় ো ক ে ম b i p a s h a ব ি প া শ া b i p r a d a s ব ি প ্ র দ া স b i r u ব ী র ু b i s w a k a r m a ব ি শ ্ ব ক র ্ ম া b i t h i k a ব ি থ ী ক া b l a i r ব ্ ল ে য় া র b l i c k s ব ্ ল ি ক স b o d h o n c h a n d r a ব ো ধ ন চ ন ্ দ ্ র b o l i v a r ব ো ল ি ভ া র b o n n a i ব ো ন া ই b o r v i h i r ব ো র ভ ি হ ি র b r a d e s c o ব ্ র া ড ে স ক ো b r a h m a n ব ্ র া হ ম া ন b r a j a d u l a l ব ্ র জ দ ু ল া ল b r a j a m o h a n ব ্ র জ ম ো হ ন b r a j a r a n i ব ্ র জ র া ন ী b r a n d e i s ব ্ র া ন ্ ড ে ই জ b r a n t ব ্ র া ন ্ ট b r e a d ব ্ র ে ড b r e a k w a t e r ব ্ র ে ক ও য় া ট া র b r e e n d o n c k ব ্ র ে ন ড ো ঙ ্ ক b r i j e s h ব ্ র ি জ ে শ b r i n d a b a n ব ৃ ন ্ দ া ব ন b r i t ব ্ র ি ট b r i t a i n ব ্ র ি ট ে ন b r i t o n s ব ্ র ি ট ো ন ্ স b r o e c h e m ব ্ র ো ই চ ে ম b r o m i n e ব ্ র ো ম ি ন b r o m o ব ্ র ো ম ো b r y s o n ব ্ র ি স ন b u c h a n a n ব ু চ া ন ন b u c k l e y ব া ক ল ে b u d r i ব ু দ র ী b u f f a l o ব া ফ া ল ো b u l l ব ু ল b u l u n i ব ু ল ু ন ী b u n i b a l a ব ু ন ি ব া ল া b u r a ব ু র া b u r d e s ব া র ্ ড ে স b u s h n e l l s ব ু শ ন ে ল স b y ব া ই b y a d a r a h a l l i ব য় া দ র া হ া ল ্ ল ি c a d m i u m ক ্ য া ড ম ি য় া ম c a j o n ক া জ ো ন c a l l a g h a n ক ে ল হ া ন c a l l e n ক ল ে ন c a l u p s o ক া ল ু প স ো c a n e l l o p o u l o s ক ্ য া ন ি ল ো প ৌ ল ো স c a p e l ক া প ে ল c a p i t a l ক ্ য া প ি ট া ল c a p t a i n ক ্ য া প ্ ট ে ন c a r d i g a n ক া র ্ ড ি গ া ন c a r i b b e a n ক ্ য া র ি ব ি য় া ন c a r i g n a n o ক ্ য া র ি গ ন া ন ো c a r l ক া র ্ ল c a r l i ক া র ্ ল ি c a r l t o n ক া র ্ ল ্ ট ো ন c a r p a t h i a n ক া র ্ প ে থ ি য় া ন c a r r o l l ক ্ য া র ো ল c a s p i a n ক ্ য া স ্ প ি য় া ন c a t o ক া ট ো c e n t e x স ে ন ্ ট ে ক ্ স c e r a m i c স ে র া ম ি ক c h a i t i চ ৈ ত ি c h a n d a n i চ ন ্ দ ন ী c h a n d i p a d a চ ণ ্ ড ী প দ c h a n d m o h a n চ া ঁ দ ম ো হ ন c h a n g a n a c h e r i চ া ন গ া ন া চ ে র ি c h a n k a n a b চ া ঙ ্ ক া ন ভ c h a n p a l a t a চ া ঁ প া ল ত া c h a p a l চ প ল c h a p p l e চ ্ য া প ে ল c h a r a u d চ া র া উ দ c h a r l e m a g n e চ া র ্ ল ে ম ্ য া গ ন ে c h a r l t o n চ া র ্ ল ট ো ন c h a t h a n o o r চ া থ া ন ু র c h a u b e চ ৌ ব ে c h a u r a চ ৌ র া c h a u r a i চ ৌ র া ই c h e l a k a r a চ ে ল া ক া র া c h e n g চ ে ং c h e n g চ ে ঙ ্ গ c h e n g a n n u r চ ে ঙ ্ গ া ন ্ ন ু র c h e r a চ ি র া c h e r a n m a h a d e v i চ ে র া ন ম হ া দ ে ব ী c h e s t e r চ ে স ্ ট া র c h e v e l l a চ ে ভ ে ল ্ ল া c h h a r o d i ছ া র ো দ ি c h h i n a ছ ি ন া c h h i t a m a n i ছ ি ত া ম ন ি c h i c o চ ি ক ো c h i h u a h u a n চ ি হ ু য় া হ ু য় া ন c h i l e চ ি ল ি c h i r a n j i b i চ ি র ঞ ্ জ ি ব c h l o r i n e ক ্ ল ো র ি ন c h o t a n ছ ো ট ন c h r i s t i a n ক ্ র ি স ্ ট ি য় া ন c h r i s t i a n i t y ক ্ র ি শ ্ চ ি য় া ন ি ট ি c h u c h u r a চ ু চ ু ড় া c h u n a r চ ু ন া র c l e b u r n e ক ্ ল ে ব া র ্ ন ে c l y m e r ক ্ ল া ই ম া র c o d ক ো ড c o l l e g e ক ল ে জ c o l o m b i a ক ল ো ম ্ ব ি য় া c o l o n g ক ো ল ো ং c o m e d y ক ম ে ড ী c o m m e r c i a l ক ম া র ্ স ি য় া ল c o n c o r ক ন ক র c o n g o ক ঙ ্ গ ো c o n t e s t ক ন ্ ট ে স ্ ট c o o c h ক ু চ c o o n d a p u r ক ু ন ্ দ া প ু র c o o n o o r ক ো ন ো র c o p e ক ো প c o p e n h a g e n ক ো প ে ন হ া গ ে ন c o r n i s h ক ো ন ি শ c o r p ক ্ র প c o v e n t r y ক ো ভ ে ন ্ ট ্ র ি c r e d i t ক ্ র ে ড ি ট c r i t t e n d e n ক ্ র ি ট ে ন ড ে ন c r o n j e ক ্ র ো ন ি য় া c r o w n ক ্ র া উ ন c u r i u m ক ু র ি য় া ম d a i n i k দ ৈ ন ি ক d a l a d i দ া ল া দ ি d a l w i দ া ল ভ ি d a n a p u r দ া ন া প ু র d a n c e s ড ্ য া ন ্ স ে স d a n g e r f i e l d ড ে ঞ ্ জ া র ফ ি ল ্ ড d a n i দ া ন ী d a p o d i দ া প ো দ ি d a r a b u k a ড া র া ব ু ক া d a r p a n a দ র ্ প ন া d a r y l ড া র ি ল d a s u y a দ া স ু য় া d a t i a দ া ত ি য় া d a v i d ড া ভ ি ড d a v i s ড া ভ ি স d a v i s ড ে ভ ি স d e b a l i n a দ ে ব ল ী ন া d e b c h a n d r a দ ে ব চ ন ্ দ ্ র d e b i দ ে ব ী d e b i p u r দ ে ব ী প ু র d e b k a n t a দ ে ব ক া ন ্ ত d e b t a n u দ ে ব ত ন ু d e b u r a n i দ ে ব ু র া ন ী d e k k e r ড ে ক া র d e o g a n দ ে ও গ া ঁ ও d e o r a k o t দ ে ও র া ক ো ট d e p a u l ড ে প ল d e v i r a n i দ ে ব ী র া ন ী d h a l e s h w a r i ঢ ল ে শ ্ ব র ী d h a n e r a ধ া ন ে র া d h a n u g o p a l ধ া ন ু গ ো প া ল d h a r a m b i r ধ র ম ব ী র d h a r m a n a t h ধ র ্ ম ন া থ d h i n d h o r a ধ ি ন ধ ো র া d h o b a r i ধ ো ব া র ি d h o l i ধ ো ল ি d h r u b a l a l ধ ্ র ু ব ল া ল d h u l k o t ধ ূ ল ক ট d h u p g u r i ধ ূ প গ ু র ি d h u p n a r a y a n ধ ু প ন া র া য ন d i দ ি d i b r u g a r h ড ি ব ্ র ু গ ড় d i c k m a n ড ি ক ম ্ য া ন d i j a l a l দ ্ ব ি জ ল া ল d i l h a r a দ ি ল হ া র া d i l o j a r a দ ি ল ও য া র া d i n b a n d h u দ ী ন ব ন ্ ধ ু d i n d r a l দ ি ন ্ দ র া ল d i n e s h w a r দ ী ন ে শ ্ ব র d i n g w a h i দ ি ং ও য় া হ ি d i p a k k u m a r দ ী প ক ক ু ম া র d i p h u দ ি ফ ু d i s h m a n ড ি স ম ্ য া ন d o b h ড ো ভ d o b h a k o l ড ো ভ া ক ো ল d o d b e l e ড ো দ ব ি ল ি d o h r i g h a t দ ো হ ি ঘ া ট d o n a ড ো ন া d o n d a i c h a ড ন দ া ই ছ া d o n n e l l y ড ো ন ে ল ি d o u s t ড ো স ্ ট d o w n t o n ড ন ট ন d r a m a ড ্ র া ম া d r i j h o e k ড ্ র ি জ হ ক d u d h e s h w a r দ ু ধ ে শ ্ ব র d u d h u b a l a দ ু ধ ু ব া ল া d u e r s ড ু য় ে র স d u f f ড ু ফ d u g d o l দ ু গ দ ল d u h i t a দ ু হ ি ত া d u k a k i s ড ু ক া ক ি স d u k h u b a l a দ ু খ ু ব া ল া d u l a l i b i b i দ ু ল া ল ী ব ি ব ি d u r a f e দ ু র া ফ ে d w a r a s i n g h দ ্ ব া র া স ি ং e d m o n d s এ ড ম ো ন ্ ড স e k k r i b a l a এ ক ক ড় ি ব া ল া e l b i t এ ল ব ি ট e l e c t r o n i c a ই ল ে ক ্ ট ্ র ো ন ি ক া e l l e s m e r e এ ল স ম ে য় া র e l o n g ই ল ং e l r o n এ ল র ন e l s o n এ ল স ন e m e r a l d এ ম া র ে ল ্ ড e n a k s h i এ ন া ক ্ ষ ী e r o d e এ র ো দ ি e s t r e l l a এ স ্ ট ্ র ে ল া e t a w a h এ ট া হ e u g e n ই উ জ ে ন e v e r e s t এ ভ া র ে স ্ ট e v e r t o n ই ভ া র ট ো ন e w e n ই য় ে ন f a j l u n ফ জ ল ু ন f a j r u l ফ জ র ু ল f a l c o n ফ া ল ্ ক ো ন f a r h a ফ র হ া f a r h e d i ফ র হ ে দ ি f a r r a r ফ া র া র f e n ফ ে ন f i p p l e ফ ি প ল ে f l o r e s ফ ্ ল ো র ে স f o o t b a l l ফ ু ট ব ল f o r t s ফ ো র ্ ট স f o s t e r s ফ স ্ ট া র স f r a n c o i s ফ ্ র া ঙ ্ ক ো য় া f r e d e r i c k ফ ্ র ে ড ে র ি ক f r e e r ফ ্ র ী র f r e e s t y l e ফ ্ র ি স ্ ট া ই ল f r e e w i l l ফ ্ র ি উ ই ল f r e u d ফ ্ র য় ে ড f r i t z ফ ্ র ি জ f u j i ফ ু জ ি f u l m a n i ফ ু ল ম ণ ি f u l m a n i ফ ু ল ম ন ি f u l m a t i d e v i ফ ু ল ম ত ি দ ে ব ী g a d a r w a r a গ া দ া র ও য় া র া g a d o l i n i u m গ া দ ো ল ি ন ি য় া ম g a h i r e e গ া হ ি র ী g a l b r a i t h গ ল ব ্ র া ই থ g a m m o n গ ্ য া ম ন g a n d a k গ ন ্ ড ক g a n e s h g a n j গ ন ে শ গ ঁ ঞ ্ জ g a n g a d a s h i গ ঙ ্ গ া দ া স ী g a n g a d e v i গ ঙ ্ গ া দ ে ব ী g a n g a m a n i গ ঙ ্ গ া ম ন ি g a n i গ া ন ি g a r g i গ া র ্ গ ী g a r r y গ ্ য া র ি g a t o গ া ত ো g a u g u i n গ ো গ ু ই ন g a u r i y a m a u গ ৌ র ি য় া ম া উ g e e t a গ ী ত া g e r i t a গ ি র ি ট া g e r m a n জ া র ্ ম া ন g e v r a গ ে ভ র া g h a a r e ঘ া র ে g h a g r a ঘ া ঘ র া g h a t s i l a ঘ া ট শ ী ল া g h o l v a d ঘ ো ল ভ া দ g h o r a d o n g r i ঘ ো র া দ ো ন গ ্ র ী g h r i s h n e s h w a r ঘ ৃ ষ ্ ণ ে শ ্ ব র g h u l e ঘ ু ল ে g h u t a i ঘ ু ট া ই g i d d a r b a h a গ ি দ ্ দ া র ব া হ া g i h l a n গ ি হ ল া ন g i l a t জ ি ল ট g i l c h r i s t গ ি ল চ র ি স ্ ট g i l k i c k e r গ ি ল ক ি ক া র g l a x o s m i t h গ ্ ল ্ য া ক ্ স ো স ্ ম ি থ g o b i n d a p a d a গ ো ব ি ন ্ দ প দ g o k h l e গ ো খ ল ে g o k t e গ ো ক ট ে g o l a p n a b i গ ো ল া প ন ব ি g o n d i a গ ো ন ্ ড ি য় া g o p গ ো প g o p e s w a r i গ ো প ে শ ্ ব র ী g o p i b a l a গ ো প ী ব া ল া g o r a u l গ ো র া উ ল g o r e গ ো র ্ য ে g o t i গ ত ি g o w e r গ ো য় ে র g r a h a m গ ্ র া হ ম g r a m m y গ ্ র া ম ি g r a p h i c s গ ্ র া ফ ি ক ্ স g r e a t গ ্ র ে ড g r e g o r y গ ্ র ে গ ো র ি g r e n t e c h গ ্ র ে ন ট ে ক g r e y গ ্ র ে ই g r o s গ ্ র স g u e r r e r o গ ু য় ে র ে র ো g u g l a n i গ ু গ ল া ন ী g u j h a n d i গ ু জ হ া ন দ ি g u r u s i n h a গ ু র ু স ি ন হ া h a a f i z হ া ফ ি জ h a b i হ া ব ি h a l w a r a হ া ল ও য় া র া h a l w a r v i হ া ল ও য় া ভ ি h a m e d a হ া ম ে দ া h a m i d হ া ম ি দ h a m m o n d হ া ম ো ন ্ ড h a r a r e হ া র া র ে h a r d a n g e r হ া র ্ ড া ঙ ্ গ ে র h a r d o i হ া র দ ৈ h a r i d a s হ র ি দ া স h a r i k a m a l হ র ি ক ম ল h a s e n a l i হ া স ে ন আ ল ী h e a d q u a r t e r s হ ে ড ক ো য় া ট া র ্ স h e a l t h c a r e হ ে ল থ ক ে য় া র h e a t h হ ে থ h e l s i n k i হ ে ল স ি ঙ ্ ক ি h e m a হ ে ম া h e m i n g w a y হ ে ম ি ং ও য় ে h e n k e l হ ে ন ক ে ল h e r a l d i c হ ে র া ল ড ি ক h e s s হ ে স h i b i s c u s হ ি ব ি স ্ ক া স h i l l i e r হ ি ল া র h i m a l a y a হ ি ম া ল য় া h i n g হ ি ং h i s s হ ি স h i t e s h হ ি ত ে শ h o l d i n g হ ো ল ্ ড ি ং স h o m e r হ ো ম া র h o n d u r a s হ ো ন ড ু য় া র ্ স h o r a হ ো র া h o r e s h o e s হ র ্ স ো য় ে স h o r i d a w a r হ র ি দ ্ ব া র h o r i k i s o r হ র ি ক ি শ ো র h o r i z o n হ র ি জ ন h u j w i r i হ ু জ ি র ি h u n t i n g হ া ন ্ ট ি ং h y u g a হ া ই উ গ া i d r i s h a l i ই দ ্ র ি শ আ ল ী i l l u l k h a i r ই ল ু খ ে র i l l u s t r a t o r s ই ল ু স ্ ট ্ র ে ট র স i l o g আ ই ল গ i m a m u d d i n ই ম া ম দ ্ দ ি ন i n c r e d i m a i l ই ন ক ্ র ে ড ি ম ে ল i n d i a ই ন ্ ড ি য় া i n d i a n a ভ া র ত ি য় i n d r a n i ই ন ্ দ ্ র া ণ ী i n d u s t r i a l ই ন ্ ড ্ র া স ্ ট ্ র ি য় া ল i n g আ ই এ ন জ ি i n g e b o r g ই ঙ ্ গ ে ব ো র ্ গ i n v e s t m e n t ই ন ভ ে স ম ে ন ্ ট i r e d e l l ই র ি ড ে ল i r e l a n d ঈ র ে ল ্ য া ন ্ ড i r e l a n d য় া য় া র ল ্ য া ন ্ ড i r i d i u m ই র ি ড ি য় া ম i r r i g a t i o n ই র ি গ ে শ ন i s l i p ই স ল ি প i s r a t b a n u ই স র ত ব া ন ু i t u r a n i ই ত ু র া ন ী i w a m i ই ও য় া ম ি i y a i l u আ ই য় া আ ই ল ু j a b e i d a k h a t u n জ ু ব ে ই দ া খ া ত ু ন j a c k s o n v i l l e জ ্ য া ক স ো ন ভ ি ল j a c k v i l l e n জ ্ য া ক ভ ি ল ে ন j a c l y n জ ্ য া ক ল ি ন j a g a d i s h জ গ দ ী শ j a g a n d a r জ গ ী ন ্ দ র j a g d i s h জ গ দ ি শ j a h e d a l i জ া হ ে দ আ ল ি j a h e d u n জ া হ ে দ ু ন j a h r e s জ া র ে স j a i n জ ৈ ন j a m a t জ া ম া ত j a m e r a l i জ া ম ে র আ ল ী j a n a k i d e v i জ া ন ক ী দ ে ব ী j a n a r d d a n জ ন া র ্ দ ্ দ ন j a p h a r জ া ফ র j a p r a জ া প র া j a s p e r জ ্ য া স প া র j a v e d জ া ভ ে দ j a y a w a r d e n e জ য় ও য় া র ্ ড ে ন j e a n জ ি ন j e r r a h i জ ে র া হ ি j e s u s জ ে স া স j h u m a ঝ ু ম া j h u m k a ঝ ু ম ক া j h u n u ঝ ু ন ু j i b a n b a l a জ ী ব ন ব া ল া j i n a t জ ি ন া ত j i n t a জ ি ন ট া j o h a n জ ন j o n e জ ন j o r d a n জ র ্ ড ন j o r o s t e r জ ো র ো স ্ ট া র j o t i জ ো ত ি j u d d জ ু ড j u l i a জ ু ল ি য় া j u m n a জ ু ম ন া j y o t i r l i n g a জ ্ য ো ত ি র ্ ল ি ঙ ্ গ k a a s h i ক া শ ি k a b i r ক ব ি র k a i s e r ক ৈ স ে র k a j i b u l ক া জ ি ব ু ল k a l i b a l a ক া ল ি ব া ল া k a l i k u m a r ক া ল ি ক ু ম া র k a l i s h a d h a n ক া ল ি স া ধ ন k a l i s h a n k a r ক া ল ী শ ং ক র k a l p a n a r a n i ক ল ্ প ন া র া ণ ী k a l t u ক া ল ্ ট ু k a l y a n i ক ল ্ য া ণ ী k a m a l a d e v i ক ম ল া দ ে ব ী k a m a l e n d u ক ম ল ে ন ্ দ ু k a n a k ক ণ ক k a n a n r a n i ক া ন ন র া ন ী k a n d a s w a m y ক া ন ্ ড া স ্ ব া ম ী k a n e t k a r ক া ন ে ত ক া র k a n h a ক া ন হ া k a n n a n u r ক ন ্ ন ড় k a n y a k u m a r i ক ন ্ য া ক ু ম া র ী k a o u s ক া উ স k a r a l e ক া র া ল ে k a r e e m ক র ি ম k a r u n a b a l a ক র ু ন া ব া ল া k a r v i ক া র ্ ভ ি k a s t u r i ক স ্ ত ু র ী k a s u n g u ক া স ু ঙ ্ গ ু k a t t o r a ক া ট ্ ট ো র া k a t y a l ক া ট ও য় া ল k a v i g n a r ক ভ ি গ ন া র k a v l i ক া ভ ল ি k a w i s h a r ক া ও ই শ ্ ব র k a z a n t z a k i s ক া জ া ন ্ ত জ া ক ি স k e l i m u t u ক ে ল ি ম ু ত ু k e n d r a p a d a ক ে ন ্ দ ্ র প া ড় া k e n y a ক ে ন ি য় া k e s s e l ক ে স ে ল k e v o r k i a n ক ি ভ ো র ক ি য় া ন k h a b a r খ ব র k h a d i k a r খ া দ ি ক া র k h a g e n খ গ ে ন k h a l i d খ া ল ি দ k h a r e খ া র ে k h a r t o u m খ া র ্ ত ু ম k h a s g i w a l e খ া স গ ি ও য় া ল ে k h a t u খ া ট ু k h o u m s খ ৌ ম স k h u n g r a খ ু ন গ ্ র া k h u s i খ ু স ি k i e v ক ি ভ k i r a n i ক ি র ণ ী k i r s t e n ক ্ র ি স ্ ট ন k i s o r i m o h a n ক ি শ ো র ী ম ো হ ন k l u s e n e r ক ্ ল ু স ে ন া র k o c h ক ো চ k o h n ক ো ন k o i l ক ো ল ি k o n g h o u ক ো ঙ ্ গ হ ো উ k o n i n g ক ো ন ি ং k o r b a ক ো র ্ ব া k o s i ক ো শ ী k o t w a l ক ো ত ো য় া ল k r i s h n a d a s h i ক ৃ ষ ্ ণ দ া স ী k r i s h n a d e b i ক ৃ ষ ্ ণ দ ে ব ী k u d d u s ক ু দ ্ দ ু স k u l d i p ক ু ল দ ী প k u l e s w a r ক ু ল ে শ ্ ব র k u l l u ক ু ল ্ ল ু k u l o n ক ু ল ো ন k u t u z o v ক ু ট ু জ ো ভ k y o n j h a r ক ে ও ন ঝ ড় k y u s h u ক া য় ু স ু l a b ল ব l a b o r a t o r i e s ল ্ য া ব র ে ট র ি জ l a b r o o y ল ে ব ্ র ো ই l a b s ল ্ য া ব l a l ল া ল l a l i t h ল ল ি থ l a l i t h a m a n a ল ল ি থ া ম া ন া l a l m a h m m a d ল া ল ম হ া ম ্ ম দ l a m b a d a ল া ম ্ ব া দ l a n d m o l e n ল ্ য া ন ্ ড ম ো ল ে ন l a p t e v ল ্ য া প ট ে ভ l a r a m i e ল া র া ম ি l a t o r r e ল া ট ো র ে l a u r e n c e ল া উ র ে ন ্ স l a w r e n c e ল া ও য় া র ে ন ্ স l a x m i n a r a y a n ল ক ্ ষ ্ ম ী ন া র া য় ণ l e a g u e s ল ি য় ে গ ু য় ে স l e n i n g r a d ল ে ল ি ল গ ্ র া ড l e o n e ল ি ও ন l e s ল ে স l e s t e r ল ে স ্ ট া র l e v e r ল ি ভ া র l i b e r a c e ল ি ব া র ে স l i e r r e ল ি র র ে l i l a b a t i ল ী ল া ব ত ি l i m a ল ি ম া l i p i k a ল ি প ি ক া l i t e r a t u r e ল ি ট ে র া চ া র l i t h i u m ল ি থ ি য় া ম l o c h a n ল ো চ ন l o h o u ল ো হ ো উ l o n d o n ল ন ্ ড ন l o o t s ল ু ট স l o v r i j e n a c ল ো ভ র ি জ ে ন ে ক l u k a y a n ল ু ক া য় ন l u k h u ল ু খ ু l y n n ল ি ন m a c h i n e s ম ে শ ি ন m a c k a y ম ্ য া ক ে m a c k i n a c ম া ক ি ন া ক m a c k i n a c ম ্ য া ক ি ন ্ য া ক m a d a n i ম া দ া ন ি m a d h a b i r a n i ম া ধ ব ী র া ণ ী m a d h a b i r a n i ম া ধ ব ী র া ন ী m a d h u ম ধ ু m a d h u ম া ধ ু m a d h u b i ম া ধ ু ব ী m a d h u d e v i ম ধ ু দ ে ব ী m a d h u m i t a ম ধ ু ম ী ত া m a g e l l a n ম ্ য া গ ে ল া ন m a g u i r e ম া গ ু ই র m a h a d e b ম হ া দ ে ব m a h a d e o ম হ া দ ে ও m a h a v i r ম হ া ব ী র m a h e n d a r ম হ ে ন ্ দ র m a h i b u r ম হ ি ব ু র m a h i d u n ম হ ি দ ু ন m a h i m a n ম হ ি ম ন m a j a f f a r ম জ া ফ ফ র m a j e p h a ম জ ে ফ া m a j h i r a m ম া ঝ ি র া ম m a k r u ম ক র ু m a l a i ম া ল ই m a l a t i r a n i ম া ল ত ি র া ন ী m a l l e t t ম া ল ্ ল ে ট ্ ট m a l o t i ম া ল ো ত ী m a m a t a b e g a m ম ম ত া ব ে গ ম m a n a b e n d r a ম া ন ব ে ন ্ দ ্ র m a n d i p ম ন ্ দ ী প m a n i b i b i ম ন ি ব ি ব ি m a n i k p u r ম া ন ি ক প ু র m a n i p u r ম ণ ি প ু র m a n j a d a r i ম ঞ ্ জ দ র ী m a n j i l a b i b i ম ন জ ি ল া ব ি ব ি m a n j u s r e e ম ঞ ্ জ ু শ ্ র ী m a n k i ম া ন ক ি m a n m a t h a ম ন ্ ম থ m a n o e l ম া ন ও য় ে ল m a n o y a r a b i b i ম া ন ো য া র া ব ি ব ি m a n s ম ্ য া ন স m a n s h a ম ন স া m a n s u r a l a m ম ন স ু র আ ল ম m a r i c o ম ্ য া র ি ক ো m a r i c o p a ম ে র ি ক ো প া m a r t h a ম া র ্ থ া m a r t y n ম া র ্ ট ি ন m a r y ম ্ য া র ি m a s a d a ম া স া দ া m a s i r u d d i n ম স ি র উ দ ্ দ ি ন m a s t o p h a ম স ্ ত ো ফ া m a s u r a ম া স ু র া m a t a n g e ম া ত ঙ ্ গ m a t h u r ম থ ূ র m a t h u r a m o h a n ম থ ু র ম ো হ ন m a t t u ম া ট ্ ট ু m a y o ম া য় ো m c c a r t h y ম ্ য া ক া র ্ থ ি m e c k l e n b e r g ম ্ য া ক ল ে ন ব া র ্ গ m e d a l i s t s ম ে ড া ল ি স ্ ট স m e d i u m ম ি ড ি য় া ম m e g h l a ম ে ঘ ল া m e g h n a t h ম ে ঘ ন া থ m e h e r j a n b i b i ম ে হ ে র জ া ন ব ি ব ি m e l b o u r n e ম ে ল ব ো র ্ ন m e l o d e o n ম ে ল ো ড ে ও ন m e m ম ে ম m e m o r i a l ম ে ম ো র ি য় া ল m e n a r a ম ে ন া র া m e n g k u a n g ম ে ঙ ্ গ ক ু ও য় া ঞ ্ জ m e r i d i a n ম ে র ি ড ি য় া ন m e t a l ম ে ট া ল m e t h r a ম ে থ র া m h a l a u d d i n ম হ ঃ আ ল া উ দ ্ দ ি ন m i k e ম া ই ক m i l l ম ি ল m i l l m o w ম ি ল ম ু ভ m i n a b a l a ম ি ন া ব া ল া m i n a r a b e g a m ম ী ন া র া ব ে গ ম m i n a r a l i ম ি ন া র আ ল ি m i n d o ম ি ন দ ো m i n n e s o t a ম ি ন ে স ট া m i n t u ম ি ণ ্ ট ু m i s s o u l a ম ি স ৌ ল া m i t a l i ম ি ত া ল ী m i t a l i r a n i ম ি ত া ল ী র া ন ী m o d i n a ম ো দ ি ন া m o h a m m a d ম া হ ম ্ ম া দ m o h a m m a d ম া হ া ম ্ ম দ m o k t a r a l i ম ো ক ্ ত া র আ ল ি m o n a l i s h a ম ো ন া ল ি শ া m o n r o e ম ো ন র ো এ m o n r o v i a ম ো ন র ো ভ ি য় া m o o d y ম ু ড ী m o o r e s ম ো র স m o r o n i ম ো র ো ন ি m o r s h e d ম ো র স ে দ m o r t o n ম র ্ ট ন m o s c o w ম া স ্ ক ো m o s t ম ো ষ ্ ট m o s t a r a ম ো স ্ ত া র া m o u n t ম া উ ন ্ ট m o u n t a i n s ম া উ ন ্ ট ে ন স m o u n t r a i l ম া উ ন ্ ট র ে ল m o y n i h a n ম ো য় া ন ি হ া ন m u j a f f a r ম ু জ া ফ র m u k t a r ম ু ক ত া র m u k t i b a l a ম ু ক ্ ত ি ব া ল া m u k t i r a n i ম ু ক ্ ত ি র া ণ ী m u l h o u s e ম ু ল হ ো উ জ m u r t a j ম ু র ত া জ m u r t a k i m ম ু র ত া ক ি ম m u s l e m a ম ূ স ল ে ম া m u s t a p h a ম ু স ্ ত ফ া m u s t a r i ম ু স ্ ত র ী m u t a t k a r ম ু ত া ত ক া র m u t e n d e r a ম ু ট ে ন ্ ড ে র া m u t h u m u d a l i g e ম া থ ু ম ু ড ল ি গ n a a d k a r n i ন া দ ক া র ্ ণ ি n a b a ন ব n a b h a ন া ভ া n a e e m ন ঈ ম n a g a v a t h i ন া গ া ভ া থ ি n a g e n ন গ ে ন n a h a n n i ন া হ া ন ্ ন ি n a h i d ন া হ ি দ n a i t o n a l ন ্ য া শ া ন ্ য া ল n a j i r ন া জ ী র n a j i r a n ন জ ি র ন n a m a g e n ন া ম জ ে ন n a m i b ন া ম ি ব n a n d a n ন ন ্ দ ন n a n d a n k u m a r ন ন ্ দ ন ক ু ম া র n a n d u r ন া ন ্ দ ু র n a n i b a l a ন ন ি ব া ল া n a n k a n a ন া ন ক া ন া n a n k i ন া ন ক ী n a n t u ন া ণ ্ ট ু n a p o l i ন প ো ল ি n a s i r ন া স ী র n a s i r a l i ন া স ি র আ ল ি n a s i r u l ন স ি র ু ল n a s m a ন া স ম া n a t i o n a l ন ্ য া শ া ন া ল n a v a t h y e ন া ভ া ত ে n a v e d ন া ভ ে দ n a v i g a t i o n ন ভ ি গ ে শ া ন n a y a n ন য় ন n a z a r ন া জ া র n e j i m a ন ে জ ি ম া n e p t u n e ন ে প চ ু ন n e w s ন ি উ জ স n e w s p r i n t ন ি উ জ প ্ র ি ন ্ ট n e w s t i m e ন ি উ জ স ট া ই ম n i a g a r a ন া য় া গ ্ র া n i a g a r a ন ি য় া গ র n i b a r a n ন ি ব া র ণ n i c a r a g u a ন ি ক া র া গ ু য় া n i c o s i a ন ি ক ো স ি য় া n i j a m u l ন ি জ া ম ু ল n i k h i l k u m a r ন ি খ ি ল ক ু ম া র n i l u f a ন ি ল ু ফ া n i l u p h a b e g a m ন ি ল ু ফ া ব ে গ ম n i s h a ন ি শ া n i s h i k a n t a ন ি শ া ক া ন ্ ত n i s s a n ন ি স স ন n o h a ন ো হ া n o j e p h a ন ো জ ে ফ া n o r d l a n d ন ো র ্ দ ল ্ য া ন ্ ড n o r t h ন র ্ থ n o r t h a m p t o n ন র থ া ম ্ প ট ন n o r w i c h ন ো র ও ই চ n o u s h e r ন ৌ স ে র n r e এ ন আ র ই n u r ন ু র n u r ন ূ র n u r e k ন ু র ে ক n u r m a h a m m a d ন ু র ম হ া ম ্ ম দ n u r u l h o s s a i n ন ু র ু ল হ ো স ে ন o b i e ও ব ি o d a i ও ড া ই o d e r অ ড া র o k a l o o s a ও ক া ল ো স া o k h o t s k ও খ ো ট স ্ ক o n l i n e অ ন ল া ই ন o p h t h a l m o l o g y অ প থ ্ য া ল ম ো ল জ ি o r b o t e c h অ র ব ো ট ে ক o r e ও র ে o t i e n o ও ত ি এ ন ো o v i d ও ভ ি দ o w l আ উ ল o z h a r ও জ হ া র p a a c h p o r e প া চ প ো ড় ে p a b a n k u m a r প ব ন ক ু ম া র p a b l o প া ব ল ো p a d m a b a t i প দ ্ ম ব ত ী p a k h i j a প া খ ি জ া p a l a c e প ্ ল ে স p a l a n d e প া ল া ন ্ ড ে p a l a n i প া ল া ন ী p a l a r প া ল া র p a l u প া ল ু p a n প া ন p a n c h a m i প ঞ ্ চ ম ী p a n c h i প ঞ ্ চ ি p a n c h u r a n i প ঞ ্ চ ু র া ন ী p a n n a d e v i প া ন ্ ন া দ ে ব ী p a n t a l o o n প ্ য া ন ্ ট া ল ু ন p a p u a প া প ু য় া p a r a প া র া p a r a m j i t প র ম জ ি ত p a r b e j প র ব ে জ p a r b h e j প া র ভ ে জ p a r g a n a প র গ ন া p a r i t o s h প র ি ত ো ষ p a r n a প র ্ ণ া p a r o r e প া র ো র ে p a r t h a s a r a t h i প া র ্ থ স া র থ ী p a r u l প া র ু ল p a t a l b a l a প ট ল ব া ল া p a t h i k a প থ ি ক া p a t r i e প ্ য া ট ্ র ি p a u l l প া উ ল p a w a n a প া ও য় া ন p e n d h a r k a r প ে ন ্ ধ া র ক া র p e r c e l l প া র ্ স ে ল p e r r y প ে র ি p e r s i a n প া র ্ স ি য় া ন p e t e r প ি র ্ ট া র p e t r o n a s প ে ট ্ র ো ন স p e t r o n a s প ে ট ্ র ো ন া স p h a j l i m a ফ জ ল ি ম া p h a l k e ফ া ল ্ ক ে p h a t e h a ফ া ত ে হ া p h a t e j a n ফ ত ে জ া ন p h i l ফ ি ল p h i r e j a ফ ি র ে জ া p h o e n i x ফ ি ন ি ক ্ স p h u d n i ফ ু দ ন ী p h u l l a r a ফ ু ল ্ ল র া p h u n g i ফ ু ন গ ী p h u r k u n i ফ ু র ক ু ন ী p i a a u প ি উ p i c k e n s প ি ক ে ন ্ স p i k প ি ক p i n a k i প ি ন া ক ী p i r প ি র p l a b a n প ্ ল া ব ন p l a t i n u m প ্ ল া ট ি ন া ম p o m m e r n প ো ম ম ে র ্ ন p o o l s প ু ল স p o r e প ো র ে p o r t r a i t প ো র ্ ট ্ র া ই ট p r a b h u d a s প ্ র ভ ু দ া স p r a d i p t a প ্ র দ ী প ্ ত া p r a m o d a প ্ র ম দ া p r a n k u m a r প ্ র া ন ক ু ম া র p r a s o n j i t প ্ র স ঞ ্ জ ি ত p r a t a p g a r h প ্ র ত া প গ ড় p r a t i প ্ র ত ি p r a v i n প ্ র া ভ ি ন p r e m s h a n k a r প ্ র ে ম শ ঙ ্ ক র p r e s b y t e r i a n প ্ র ে স ব া ই ট ে র ি য় া ন p r e s e r n o v a প ্ র ে স ে র ন ো ভ া p r i n t i n g প ্ র ি ন ্ ট ি ং p r i t a m প ্ র ি ত ম p r i y a r a n j a n প ্ র ি য র ঞ ্ জ ন p r o প ্ র ো p r o g r e s s i v e প ্ র গ ্ র ে স ি ভ p u l a k r a n j a n প ু ল ক র ঞ ্ জ ন p u n e প ু ণ ে p u n j a প া ঞ ্ জ া ব p u n u প ু ন ু p u r b i প ু র ব ি p u r n e n d u প ু র ্ ণ ে ন ্ দ ু p u s h p a প ু ষ ্ প p u s h p a k u m a r a প ু শ প ক ু ম া র p u s p a r a n i প ূ ষ ্ প র া ন ী p u t r i প ু ট র ী q a d i r ক া দ ি র q a l a n d e r ক ল া ন ্ দ া র q u e e n s b o r o ক ু ই ন ্ স ব ো র ো q u e t z a l ক ু য় ে ত জ ল r a b i n র া ব ি ন r a d h a b a l l a v র া ধ া ব ল ্ ল ভ r a d h a l a k s h m i র া ধ া ল ক ্ ষ ী r a d i o l o g y র ে ড ি ও ল জ ি r a f t i n g র ে ফ ট ি ং r a g h u b i r র ঘ ু ব ী র r a g h u d e b র ঘ ু দ ে ব r a i p u r র া ই প ু র r a j র া জ r a j a র া জ া r a j i b k u m a r র া জ ী ব ক ু ম া র r a j i n র া জ ি ন r a k e s h k u m a r র া ক ে শ ক ু ম া র r a m b a i র া ম ব া ঈ r a m b a n d h u র া ম ব ন ্ ধ ু r a m b h a র ম ্ ভ া r a m c h a n d র া ম চ া ঁ দ r a m d e v র া ম দ ে ব r a m d u l a r i র া ম দ ু ল া র ী r a m e n d r a র ম ে ন ্ দ ্ র r a m e s h p r a s a d র ম ে শ প ্ র স া দ r a m l a l র া ম ল া ল r a m r a t i d e v i র া ম র ত ি দ ে ব ী r a m t a r a k র া ম ত া র ক r a n a র া ন া r a n d a l l র ্ য া ন ড ল r a n d i p র ন দ ী প r a n g i n i র ঙ ্ গ ি ন ী r a n k u r a n i র ি ং ক ু র া ন ী r a n u র ন ু r a o s h a n a r a র ও শ ন া র া r a s h i d র া স ি দ r a s h t r i y a র া ষ ্ ট ্ র ী য় r a s i d a k h a t u n র শ ি দ া খ া ত ু ন r a t a n b a l a র ত ন ব া ল া r a t a n c h a n d r a র ত ন চ ন ্ দ ্ র r a t o n র া ট ন r a t u l র া ত ু ল r a t u l a l র ু ট ু ল া ল r a u f র া উ ফ r a u l র া উ ল r a w a র া ও য় া r a w l র া ও ল r e m o র ে ম ো r e n e e র ে ন ি r e n n i e র ে ন ন ি r e n u k a র ে ণ ু ক া r e n u k u m a r i র ে ন ু ক ু ম া র ী r e n v i l l e র ে ন ভ ি ল r e s e r v o i r র ি জ া র ্ ভ র r i c h a r d s র ি চ া র ্ ড r i c k র ি ক r i g g র ি গ r i n a র ি ন া r i n k u র ি ঙ ্ ক ু r i t i k a র ি ত ি ক া r i y a l র ি য় া ল r o b e r t র ব া র ্ ট r o b e r t s র ব া ট স r o c k b r i d g e র ক ব ্ র ি জ r o h i m a র ো হ ি ম া r o m a র ো ম া r o n d u i t র ন ড ু ই ট r o w e র ো r u k s h a n a k h a t u n র ু ক শ া ন া খ া ত ু ন r u m e l a b i b i র ু ম ে ল া ব ি ব ি r u n a b e g a m র ু ন া ব ে গ ম r u p a র ু প া r u p e n র ু প ে ন s a a m n a স া ম ন া s a a m r a স া ম র া s a b i t a d e v i স ব ি ত া দ ে ব ী s a c h s স া চ স s a d a n a n d স দ া ন ন ্ দ s a d e r a l a m স া দ ে র আ ল ম s a e e d স া য় ে দ s a f a t স া ফ া ত s a h a d e o স হ দ ে ও s a h i d u l h a k স হ ি দ ু ল হ ক s a i d স ঈ দ s a i m a n স া ই ম ন s a i n t s স ে ন ্ ট স s a k e a l a u d d i n স ে ক আ ল া উ দ ্ দ ি ন s a k i l a b e g a m স া ক ি ল া ব ে গ ম s a k i r u n স া ক ি র ু ন s a l e h a r k h a t u n স া ল ে হ া র খ া ত ু ন s a l m a স ল ম া s a m i u l h a k স া ম ি উ ল হ ক s a n স া ন s a n d h u স া ন ্ ধ ু s a n g h e r a স া ঙ ্ ঘ ে র া s a n g r a m স ং গ ্ র া ম s a n s স া ন স s a o স া ও s a o g a t স া ও গ ত s a p r a স া প ্ র া s a r a f a t স র া ফ ত s a r e e n স া র ী ন s a r n a t h স া র ন া থ s a t i স ত ী s a t p a l স ত প া ল s a u k a t স ও ক ত s a u n d e r s স ু ন ্ দ র স s a v u স া ভ ু s a w e n স া ও য় ে ন s c i e n c e স া য় ে ন ্ স s c r a e s d o n স ্ ক ্ র া য় ে স ড ন s e a b o r g i u m স ী ব ো র জ ি য় া ম s e k e r e স ে ক ে র ে s e k i b স ে ক ি ব s e m u l i k i স ে ম ু ল ি ক ি s e r t a o স ে র ট া ও s e t e স ে ত ে s e t h শ ে ঠ s h a h a b u l শ া হ া ব ু ল s h a h a n a r a b e g a m শ া হ া ন া র া ব ে গ ম s h a h a r a l i শ হ র আ ল ি s h a k i l a b i b i শ া ক ি ল া ব ি ব ি s h a m i r স ম ী র s h a m p a শ ম ্ প া s h a n a k a শ ন ক া s h a n k a r c h a n d r a শ ঙ ্ ক র চ ন ্ দ ্ র s h a n t a b a l a শ া ন ্ ত া ব া ল া s h a r i f শ র ি ফ s h a r o n শ ্ য া র ন s h a s h w a t i শ ্ ব া শ ত ী s h a s t r i শ া স ্ ত ্ র ি s h a s w a t a শ া শ ্ ব ত s h a u l স উ ল s h e f f i e l d শ ে ফ ি ল ্ ড s h e i k h a n s a r স ে খ আ ন স া র s h e k h p u r a শ ে খ প ু র া s h e r b u r n e শ ে য় া র ব া র ্ ন s h i p r a শ ি প ্ র া s h i r a z i স ি র া জ ি s h i s h i r k u m a r শ ি শ ি র ক ু ম া র s h i s h u p a l শ ি শ ু প া ল s h i v শ ি ভ s h n e w a l a শ ন ি ও য় া ল া s h o b h a n a শ ো ভ ন া s h o s h o n e শ ো শ ো ন ে s h r i n g a r p u r e শ ি ঙ ্ গ া র প ু র s h r i p a r n a শ ্ র ী প র ্ ণ া s h u b h a s h i s শ ু ভ া শ ি স s i b e l i u s স ি ব ে ল ি য় া স s i d h a r t h a স ি দ ্ ধ া র ্ থ s i d i স ি দ ি s i l v a স ি ল ভ া s i l v e r s t a r স ি ল ভ া র স ্ ট া র s i n d h u স ি ন ্ ধ ু s i n g h b h u m i স ি ং হ ভ ূ ম ি s i t a r a b e g a m স ী ত া র া ব ে গ ম s i t u l স ি ট ু ল s l e d d i n g স ্ ল ে ড ি ং s n e h o m o y e স ্ ন ে হ ম য ী s n o r k e l i n g স ্ ন ো ক ে ল ি ং s o f t w a r e স ফ ট ও য় া র s o h i n a স ো হ ি ন া s o l a p u r শ ো ল া প ু র s o l o m o s স ল ো ম ো স s o n a h a r a স ো ন া হ া র া s o n e স ো ন ে s o u r a b h i স ৌ র ভ ী s o u t h h a l l স া উ থ হ ল s p e c t r u m স ্ প ে ক ট ্ র া ম s p i t b a n k স ্ প ি ট ব ্ য া ঙ ্ ক s q u i d d y স ্ ক ু ই ড ি s r i k a k u l a m শ ্ র ী ক া ক ু ল া ম s r i p a t i c h a r a n শ ্ র ী প ত ি চ র ণ s r i s a i l a m শ ্ র ী শ ৈ ল ম s t a n w i x স ্ ট া ন উ ই ক ্ স s t a t e s স ্ ট ে ড s t a t i o n স ্ ট ে শ ন s t o r m স ্ ট র ্ ম s t r o n t i u m স ্ ট ্ র ন ট ি য় া ম s u b a l a স ু ব ল া s u b e n d u স ু ব ে ন ্ দ ু s u b h a d r a স ূ ভ দ ্ র া s u b h a n k a r স ু ভ ঙ ্ ক র s u b h a n k a r স ু ভ া ং ক র s u b h e j a n স ু ভ ে জ া ন s u b h o b r a t a শ ু ভ ব ্ র ত s u d a t h স ু দ া থ s u d h a k a r স ু ধ া ক র s u d h i স ু ধ ী s u f f r e n স া ফ ্ র ে ন s u k a r m a n i স ু ক র ম ন ি s u k h i b a l a স ু খ ী ব া ল া s u k o m a l স ু ক ো ম ল s u l e স ু ল ে s u l e k h a r a n i স ু ল ে খ া র া ণ ী s u l t a n স ু ল ত া ন s u m a n স ু ম ন s u m m i t স ু ম ি ত s u n d a r b a n s স ু ন ্ দ র ব ন s u n d r a m স ু ন ্ দ র ম s u p a r n a স ূ প র ্ ণ া s u p r a t i m স ু প ্ র ত ী ম s u r a m a স ু র ম া s u r a n a স ু র া ন া s u r a n g e স ু র ঞ ্ জ s u r d a s স ু র দ া স s u r e s w a r স ু র ে শ ্ ব র s u s h i l স ু শ ী ল s u s i l c h a n d r a স ু শ ী ল চ ন ্ দ ্ র s u t a n u স ু ত ন ু s v i r k a স ভ ি র ্ ক া s w a g g a r t স ো য় া গ া র ্ ট s w a n n স ো ন ্ ন s w e d e n স ু ই ড ে ন t a a n k ট া ন ্ ক t a i b a n ত া ল ি ব া ন t a j ত া জ t a k a ট া ক া t a m b u t i c a ত া ম ্ ব ু ট ি ক া t a n u k a ত ন ু ক া t a r a n i b a l a ত র ন ী ব া ল া t a r a p a d a ত া র া প দ t a r a w a ত া র া ত ো t a r o g a t o ট া র ো গ া ট ো t e m p e l h o f ট ে ম ্ প ে ল হ ো প t e m p l e ট ে ম ্ প ে ল t e m p o ট ে ম ্ প ো t e r m i n u s ট া র ম ি ন া স t e r r i t o r y ট ে র ি ট ো র ি t h a k u r d a s i ঠ া ক ু র দ া স ী t h a k u r m a n i ঠ া ক ু র ম ন ি t h a n d i ঠ া ন ্ ড ি t h i r u m a l a i ত ি র ু ম া ল া ই t h u l i u m থ ু ল ি য় া ম t h u p i b a l a থ ু প ি ব া ল া t i k a r a m ট ি ক া র া ম t i l w a n k a r ত ি ল ও য় া ঙ ্ ক া র t i m ট ি ম t i m e x ট া ই ম ে ক ্ স t i m i r k u m a r ত ি ম ি 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function fx = f(x) fx = (exp(-(x^2)/2))/(sqrt(2*%pi)) return fx endfunction clc disp(">> Regla compuesta del trapecio") T = UN_integral_trapecio(-3,3,106) disp(T) disp(">> Regla compuesta de 1/3 de Simpson") S = UN_integral_simpson(-3,3,10) disp(S)
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function [Xcomp,Ycomp,Zcomp]=calcRTMagfield(x,y,z,rotaxis,rotangle,tx,ty,tz,Br,D,t) //Calculates the translated and rotated magnetic vector field //x,y,z the points where the magnetic field will be calculated //rotaxis a vector containing the rotation axis in the form [x y z] //rotangle the rotation angle //tx,ty,tz the translation measured from the origin //Xcomp,Ycomp,Zcomp The components of the vector field in each point x,y,z //Rotate the original points in the opposite direction [RX,RY,RZ] = rotate3d(x,y,z,[rotaxis -rotangle]) //Rotate the translation in the opposite direction [rtx,rty,rtz] = rotate3d(tx,ty,tz,[rotaxis -rotangle]) //Apply the rotated translation to the rotated points RX = RX - rtx RY = RY - rty RZ = RZ - rtz //Convert rotated and translated points from cartesian coordinates to spherical coordinates [T,P,R]=cart2sph(RX,RY,RZ); //Calculate the field using the spherical coordinates [Rcomp,Tcomp]=dipolefield(R,T,Br,D,t); //Transform the resulting vector field from spherical coordinates to cartesian coordinates [rawXcomp, rawYcomp, rawZcomp]=sph2cartvect(Tcomp, 0, Rcomp,T,P); //Rotate the vector components in the original direction [Xcomp,Ycomp,Zcomp] = rotate3d(rawXcomp,rawYcomp,rawZcomp,[rotaxis rotangle]) endfunction
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//Calculate full load rotor loss and rotor input and output torque //Chapter 4 //Example 4.31 //page 347 clear; clc; disp("Example 4.31") P=4; //number of poles f=50; //frequency in hertz V=230; //voltage in volts hp=5; //power in horsepower Ib=15; //current in block rotor test in amperes output=hp*735.5; //output in watts //in block rotor test: power input=Full=load I^2R losses=735W FLl=735; //Full-load I^2R losses printf("Full-load I^2R losses=%fW",FLl); Re=FLl/(3*Ib^2); Io=6.3; //current in no load condition in amperes lossNL=(3*(Io)^2*Re); //I^2R loss at no-load condition printf("\nI^2R loss at no-load=%fW",lossNL); PiNL=275; //power input at no-load printf("\nCore loss plus friction and windage loss=%dW",(PiNL-lossNL)); TL=FLl+(PiNL-lossNL); effi=(output*100)/(output+TL); printf("\nEfficiency=%fpercent",effi)
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//To find angle and maximum velocity clc //Given: phi=20 //degrees t=20, G=2 m=5 //mm v=1.2 //m/s addendum=1*m //mm //Solution: //Angle turned through by pinion when one pair of teeth is in mesh: //Calculating the pitch circle radius of pinion r=m*t/2 //mm //Calculating the pitch circle radius of wheel R=m*G*t/2 //mm //Calculating the radius of addendum circle of pinion rA=r+addendum //mm //Calculating the radius of addendum circle of wheel RA=R+addendum //mm //Calculating the length of path of approach KP=sqrt(RA^2-R^2*(cosd(phi))^2)-R*sind(phi) //mm //Calculating the length of path of recess PL=sqrt(rA^2-r^2*(cosd(phi))^2)-r*sind(phi) //mm //Calculating the length of path of contact KL=KP+PL //mm //Calculating the length of arc of contact Lac=KL/cosd(phi) //mm //Calculating the angle turned by the pinion angle=Lac*360/(2*%pi*r) //Angle turned by the pinion, degrees //Maximum velocity of sliding: //Calculating the angular speed of pinion omega1=v*1000/r //rad/s //Calculating the angular speed of wheel omega2=v*1000/R //rad/s //Calculating the maximum velocity of sliding vS=(omega1+omega2)*KP //mm/s //Results: printf("\n\n Angle turned through by pinion when one pair of teeth is in mesh = %.2f degrees.\n\n",angle) printf(" Maximum velocity of sliding, vS = %.1f mm/s.\n\n",vS)
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// Y.V.C.Rao ,1997.Chemical Engineering Thermodynamics.Universities Press,Hyderabad,India. //Chapter-4,Example 1,Page 94 //Title:Net work done by the system //================================================================================================================ clear clc //INPUT Q1=50;//Energy added as heat in kJ when the system undergoes a process 1-2 W1=30;//Work done by the system in kJ during the process 1-2 Q2=-40;//Energy rejected as heat in kJ during the process 2-3 W2=-50;//Work done on the system in kJ during the process 2-3 Q3=0;//System undergoes an adiabatic process to return to initial state //CALCULATION U2_1=Q1-W1;//calculation of net change in energy in kJ during process 1-2 using Eq.(4.5) U3_2=Q2-W2;//calculation of net change in energy in kJ during process 2-3 using Eq.(4.5) U1_3=(-U2_1)-(U3_2);//calculation of net change in energy in kJ during process 3-1 using Eq.(4.5) W3=Q3-U1_3;//calculation of work by the system in kJ using Eq.(4.5) net_work=W1+W2+W3;//calculation of net work done in kJ //OUTPUT mprintf('\n The net work done by the system= %d kJ\n',net_work); //===============================================END OF PROGRAM===================================================
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<?xml version="1.0" encoding="utf-8"?> <test> <description>StdProject_Diff2D Quadrilateral Fourier basis P=6 Q=8</description> <executable>StdProject_Diff2D</executable> <parameters>4 7 7 6 6 8 8</parameters> <metrics> <metric type="L2" id="1"> <value tolerance="1e-12">1.54556e-14</value> </metric> <metric type="Linf" id="2"> <value tolerance="1e-12">2.84217e-14</value> </metric> </metrics> </test>
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clc //initialisation of variables n=42//cu ft p=80//psi t=120//F p1=7.2//lb T=144*(p+14.7)*n/(1545*(t+460))//mol //CALCULATIONS N=p1/28//mol P=n*(N/T)//cu ft V=n*(T-N)/T//cu ft //RESULTS printf('The carbon monoxide equal=% f cu ft',V)
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// //openpr_demo_path = get_absolute_file_path('openpr.dem.gateway.sce'); //subdemolist = ["confusion matrix to normalized mutual information", "confmatrix2ni_mi.dem.sce";.. // "wpca", "wpca.dem.sce";.. // "kmeans", "kmeans.dem.sce";.. // "agglomerative hierarchical clustering", "ahclustering.dem.sce";.. // "basic leader-follower clustering", "leader_follower.dem.sce";.. // "agglomerative mean-shift clustering", "aggloms.dem.sce";.. // "svmtrain", "svmtrain.dem.sce"]; //subdemolist(:, 2) = openpr_demo_path + subdemolist(:, 2);
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clear; clc; close; disp("Example2.5") m=50 //mass flow rate in kg/s. T1=298 //inlet temperature in K. u1=150 //inlet velocity in m/s. cp1=1004 //specific heat at constant pressure of inlet in J/kg.K. gm=1.4 //gamma. u2=400 // exit velocity in m/s. cp2=1243. //specific heat at constant pressure of exit in J/kg.K. q=42*10^6 //heat transfer rate in control volume in Watt. me=-100*10^3 //mechanical power in Watt. //first calculate total enthalpy at the inlet: ht1=cp1*T1+(u1^2)/2; //ht1=Total inlet enthalpy. //now applying conservation of energy equation: ht2=ht1+((q-me)/m) //ht2=Total enthalpy at exit. Tt2=ht2/cp2; //Tt2=Total exit temperature. T2=Tt2-((u2^2)/(2*cp2)); //T2=static exit temperature. disp(Tt2,"Exit total temperature in K:"); disp(T2,"Exit static temperature in K:");
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// Check for size of Objective Coefficient // A basic case : // Objective function c = -1*[20,10,15]'; // Lower Bound of variable lb = repmat(0,3,1); // Upper Bound of variables ub = repmat(%inf,3,1); // Constraint Matrix A = [3,2,5; 2,1,1; 1,1,3; 5,2,4] // Upper Bound of constrains b = [ 55;26;30;57] // Row Matrix for telling symphony that the is integer or not intcon = []; // Calling Symphony [x,f,status,output] = symphonymat(c,intcon,A,b,[],[],lb,ub) disp("x",x,"f",f,"status",status,"output",output); // Output //Problem loaded into environment. // //Note: There is no limit on time. // //An optimal solution has been found. // // 0. // // Iterations: 1 // // output // // 227. // // status // // - 268. // // f // // 1.8 // 20.8 // 1.6 // // x
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yudiaguena/simulation-of-infection
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// Esta função gera un grid de nlin por ncol // para simular a população de uma localidade // densidade é a probabilidade de cada célula estar ocupada // prob de uma célula ocupada // 1 significa célula vazia // 2 significa célula ocupada por indivíduo sadio // 3 significa célula ocupada por indivíduo infectado // 4 significa curado // 5 significa morto // 6 significa nova doença function [grid,nindividuos,ndoentes] = gera_populacao_inicial(nlin,ncol,desidade,prob) //Gera a população inicial de acordo a função de probabilidade binomial grid = grand(nlin,ncol,'bin',1,desidade) nindividuos = sum(grid==1) //pelo menos um doente na população ndoentes = max(1,int(nindividuos*prob)) //seleciona aleatóriamente um indivíduos como doentes doentes = samwr(ndoentes,1,find(grid==1)) //caracteriza a aleatoriedade da escolha dos doentes na amostra grid(doentes) = 2 //soma 1 em cada célula par poder visualizar grid = grid+1 endfunction function [infectado] = foi_infectado(grid,x,y,prob) [nlin,ncol] = size(grid) vizinhos_infectados = 0 for i=[-1,1] vizinho_x = modulo(x + i,nlin) vizinho_y = modulo(y + i,ncol) if vizinho_x == 0 vizinho_x = nlin end if vizinho_y == 0 vizinho_y = ncol end if grid(vizinho_x,y)==3 vizinhos_infectados = vizinhos_infectados+1 end if grid(x,vizinho_y)==3 vizinhos_infectados = vizinhos_infectados+1 end if grid(vizinho_x,y)==6 vizinhos_infectados = vizinhos_infectados+1 end if grid(x,vizinho_y)==6 vizinhos_infectados = vizinhos_infectados+1 end end if vizinhos_infectados > 0 infectado = rand()<prob else infectado = %f end endfunction function [curado] = foi_curado(grid,x,y,prob) curado = rand() < prob endfunction function [falecido] = faleceu(grid,x,y,prob) falecido = rand() < prob endfunction function [alteracao] = malcurado(grid,x,y,prob) alteracao = rand() < prob endfunction nlin = 50;//número de linhas da matriz - indica população ncol = 50; densidade = 0.8; inicial_infectaco = 0.02; prob_malcurado = 0.0008; prob_infeccao = 0.8; prob_cura = 0.3; prob_morte = 0.01; evolucaoInfeccao = zeros(1:100) evolucaoCurados = zeros(1:100) evolucaoMortos = zeros(1:100) evolucaonNaoInfectados = zeros(1:100) evolucaomalcurado = zeros(1:100) evolucaonovainfeccao = zeros(1:100) [grid,nPessoas,nInfectados] = gera_populacao_inicial(nlin,ncol,densidade,inicial_infectaco) disp(nPessoas) disp(nInfectados) nNaoInfectados = length(find(grid==2)) disp(nNaoInfectados) nMortos=0 nCurados=0 nmalcurado=0 nnovoInfectados=0 scf(0) for iteracao = 1:100//dias da infecção Matplot(grid) xtitle(sprintf("Progressão da infecção %d",iteracao)) new_pop = grid for x=1:nlin for y=1:ncol if grid(x,y)==2 & foi_infectado(grid,x,y,prob_infeccao) new_pop(x,y) = 3 //3 é infectado nInfectados = nInfectados + 1 nNaoInfectados = nNaoInfectados - 1 end if grid(x,y)==3 & foi_curado(grid,x,y,prob_cura) new_pop(x,y) = 4// 4 é curado nCurados = nCurados + 1 nInfectados = nInfectados - 1 end if grid(x,y)==4 & malcurado(grid,x,y,prob_malcurado) new_pop(x,y) = 6 //mutação nmalcurado = nmalcurado +1 nCurados = nCurados - 1 end if grid(x,y)==3 & new_pop(x,y)~=4 & faleceu(grid,x,y,prob_morte) new_pop(x,y) = 5// 5 é morto nMortos = nMortos + 1 nInfectados = nInfectados - 1 end end end grid=new_pop evolucaoInfeccao(iteracao) = nInfectados evolucaoCurados(iteracao) = nCurados evolucaoMortos(iteracao) = nMortos evolucaonNaoInfectados (iteracao) = nNaoInfectados evolucaomalcurado (iteracao) = nmalcurado evolucaonovosinfectados(iteracao) = nnovoInfectados end scf(1) plot(1:100,evolucaoInfeccao, 'g-'); plot(1:100,evolucaoCurados,'b-'); plot(1:100,evolucaoMortos, 'r-'); plot(1:100,evolucaonNaoInfectados,'c-'); plot(1:100,evolucaomalcurado, 'y-'); plot(1:100,nnovoInfectados,'v-') title("Gráfico de Progressão Temporal da Infecção"); xlabel("Tempo (dias)"); ylabel("Número de Indivíduos"); legend('Infecção', 'Curados', 'Mortos', 'Não Infectados','mal curado ','nova infecção')
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clear// //Variables V = 18 //Voltage (in volts) I = 60*10**-6 //current (in Ampere) //Calculation R = V/I //Resistance (in ohm) G = 1/R //Conductance (in siemens) //Result printf("\n The conductance is %0.2f micro-siemens.",G * 10**6)
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'successful test DECLARE SUB mouse.loadprog () DECLARE FUNCTION mouse.init% () DECLARE SUB mouse.show () DECLARE SUB mouse.cleardata () DECLARE SUB mouse.show2 () DECLARE SUB mouse.hide () DECLARE SUB mouse.setrange (x1%, y1%, x2%, y2%) DECLARE SUB mouse.put (x%, y%) DECLARE SUB mouse.status () DECLARE SUB mouse.relativestatus () DECLARE FUNCTION dat.datum% (fl1$, pos1&) DECLARE SUB dat.loaddata (fl1$, pos1&, pos2&, segment&) TYPE mouse left AS INTEGER right AS INTEGER oldleft AS INTEGER oldright AS INTEGER xpos AS LONG ypos AS LONG oldxpos AS LONG oldypos AS LONG mousetype AS INTEGER mouseattrib AS INTEGER virtualattrib AS INTEGER END TYPE DIM Jerry AS mouse mouse$ = "" Jerry.mousetype = 127 Jerry.mouseattrib = 20 Jerry.virtualattrib = 20 TYPE filestring byte AS STRING * 1 END TYPE DIM file AS filestring 'Start mouse SCREEN 0 mouse.loadprog a1% = mouse.init% IF (a1% <> 1) THEN PRINT "Mouse not installed." SYSTEM END IF mouse.hide mouse.put 0, 0 mouse.cleardata DO mouse.show2 LOOP FUNCTION dat.datum% (fl1$, pos1&) SHARED file AS filestring fr% = FREEFILE OPEN "B", #fr%, fl1$ SEEK #fr%, pos1& file.byte = INPUT$(1, #fr%) CLOSE #fr% dat.datum% = ASC(file.byte) END FUNCTION SUB dat.loaddata (fl1$, pos1&, pos2&, segment&) SHARED file AS filestring DEF SEG = segment& fr% = FREEFILE OPEN "B", #fr%, fl1$ IF (pos2& > LOF(fr%)) THEN pos2& = LOF(fr%) posp& = pos1& sz& = pos2& - pos1& + 3 POKE 0, (sz& AND &HFF00) \ &H100 POKE 1, sz& MOD 256 mem1& = 2 DO UNTIL posp& > pos2& SEEK #fr%, posp& posp& = posp& + 1 file.byte = INPUT$(1, #fr%) POKE mem1&, ASC(file.byte) mem1& = mem1& + 1 LOOP CLOSE #fr% DEF SEG END SUB SUB mouse.cleardata SHARED Jerry AS mouse mem1& = (Jerry.xpos + Jerry.ypos * 80) * 2 DEF SEG = &HB800 POKE 5000, PEEK(mem1&) POKE 5001, PEEK(mem1& + 1) DEF SEG END SUB SUB mouse.hide SHARED mouse$ DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) + 22 CALL absolute(mem1&) DEF SEG END SUB FUNCTION mouse.init% SHARED mouse$ DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) CALL absolute(mem1&) DEF SEG = &H100 IF (PEEK(0) = 255 AND PEEK(1) = 255) THEN a1% = 1 DEF SEG mouse.init% = a1% END FUNCTION SUB mouse.loadprog SHARED mouse$ CLS 'Load ASM Program to mouse$ OPEN "B", #1, "mouse.dll" FOR i = 1 TO LOF(1) SEEK #1, i k$ = INPUT$(1, #1) mouse$ = mouse$ + k$ NEXT CLOSE #1 END SUB SUB mouse.put (x%, y%) SHARED mouse$ DEF SEG = &H101 POKE 0, x% MOD 256 POKE 1, x% \ 256 POKE 2, y% MOD 256 POKE 3, y% \ 256 DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) + 66 CALL absolute(mem1&) DEF SEG END SUB SUB mouse.relativestatus SHARED Jerry AS mouse SHARED mouse$ DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) + 117 CALL absolute(mem1&) DEF SEG = &H100 a1% = PEEK(0) Jerry.left = a1% AND 1 Jerry.right = (a1% AND 2) \ 2 a1& = PEEK(2) a2& = PEEK(3) Jerry.xpos = a2& * 256 + a1& IF (Jerry.xpos AND &H8000 = &H8000) THEN Jerry.xpos = -1 * (NOT (Jerry.xpos) + 1) Jerry.xpos = Jerry.xpos \ 2 a1& = PEEK(4) a2& = PEEK(5) Jerry.ypos = a2& * 256 + a1& IF (Jerry.ypos AND &H8000 = &H8000) THEN Jerry.ypos = -1 * (NOT (Jerry.ypos) + 1) DEF SEG END SUB SUB mouse.setrange (x1%, y1%, x2%, y2%) SHARED mouse$ DEF SEG = &H101 POKE 1, 0'x1% MOD 256 POKE 0, 0' x1% \ 256 POKE 3, 200'x2% MOD 256 POKE 2, 0'x2% \ 256 POKE 5, 0'y1% MOD 256 POKE 4, 0'y1% \ 256 POKE 7, 100'y2% MOD 256 POKE 6, 0'y2% \ 256 DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) + 28 CALL absolute(mem1&) DEF SEG END SUB SUB mouse.show SHARED mouse$ DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) + 16 CALL absolute(mem1&) DEF SEG END SUB SUB mouse.show2 SHARED Jerry AS mouse mouse.status IF (Jerry.virtualattrib > 0) THEN IF (Jerry.oldleft <> Jerry.left OR Jerry.oldright <> Jerry.right) THEN at% = Jerry.virtualattrib wr% = at% AND &HF IF (Jerry.left = 1) THEN wr% = (wr% * 2) AND &HF wr1% = at% AND &HF0 IF (Jerry.right = 1) THEN wr1% = (wr1% * 2) AND &HF0 wr% = wr1% + wr% IF (Jerry.oldxpos = Jerry.xpos AND Jerry.oldypos = Jerry.ypos) THEN DEF SEG = &HB800 mem1& = (Jerry.ypos * 80 + Jerry.xpos) * 2 + 1 POKE mem1&, wr% DEF SEG END IF Jerry.oldleft = Jerry.left Jerry.oldright = Jerry.right Jerry.mouseattrib = wr% END IF END IF IF (Jerry.oldxpos <> Jerry.xpos OR Jerry.oldypos <> Jerry.ypos) THEN DEF SEG = &HB800 mem1& = (Jerry.oldypos * 80 + Jerry.oldxpos) * 2 POKE mem1&, PEEK(5000) POKE mem1& + 1, PEEK(5001) mem1& = (Jerry.ypos * 80 + Jerry.xpos) * 2 POKE 5000, PEEK(mem1&) POKE 5001, PEEK(mem1& + 1) POKE mem1&, Jerry.mousetype POKE mem1& + 1, Jerry.mouseattrib Jerry.oldypos = Jerry.ypos Jerry.oldxpos = Jerry.xpos DEF SEG END IF END SUB SUB mouse.status SHARED Jerry AS mouse SHARED mouse$ DEF SEG = VARSEG(mouse$) mem1& = SADD(mouse$) + 89 CALL absolute(mem1&) DEF SEG = &H100 a1% = PEEK(0) Jerry.left = a1% AND 1 Jerry.right = (a1% AND 2) \ 2 a1& = PEEK(2) a2& = PEEK(3) Jerry.xpos = (a2& * 256 + a1&) \ 8 a1& = PEEK(4) a2& = PEEK(5) Jerry.ypos = (a2& * 256 + a1&) \ 8 DEF SEG END SUB
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//example1.5 clc disp("Application of Kirchhoffs law:") disp("Step 1 and 2: Draw the circuit with all values which are same as the given network. Mark all the branch starting from +ve of any of the source, say +ve of 50V source.") disp("Step 3: Mark all the polarities for different voltages across the resistances. This is combined with step2 shown in the network below in fig 1.41(a).") disp("Step 4: Apply KVL to different loops.") disp("Loop 1: A-B-E-F-A , -15(I_1)-20(I_2)+50=0") disp("Loop 2: B-C-D-E-B , -30((I_1)-(I_2))-100+20(I_2)=0") disp("Rewriting all the equations,taking constants in one side.") disp("15(I_1)+20(I_2)=50 ..(1)") disp("-30(I_1)+50(I_2)=100 ..(2)") disp("Apply cramers rule,") d=(15*50)-(-30*20) format(5) disp(d,"D=[15 20;-30 50]=") disp("Calculating D_v") d=(50*50)-2000 disp(d,"D1=[50 20;100 50]=") i=500/1350 disp(i,"I_1(in amp)=(D_1)/D=") disp("Calculating D2 ,") d=1500+(30*50) disp(d,"D2=[15 50;-30 100]=") i=3000/1350 disp(i,"I_2(in amp)=D2/D=") disp("For I_1 and I_2, as answer is positive, assumed direction is correct") disp("Therefore, for I_1 answer is 0.37 amp. For I_2 answer is 2.22amp") i=0.37-2.22 format(5) disp(i,"(I_1)-(I_2)[in amp]=") disp("Negative sign indicates assumed direction is wrong.") disp("i.e (I_1)-(I_2)=1.85A flowing in opposite direction to that of the assumed direction.")
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//Example 7.12 P=0.200;//Power rating (kW) t=6*30;//Duration of use; 6hours per day*30days (h) E=P*t;//Energy consumed (kWh) cost=E*0.120;//Cost per month, if cost of electricity is $0.120/kWh printf('Cost of running the computer for the given duration = $%0.2f per month',cost) //Openstax - College Physics //Download for free at http://cnx.org/content/col11406/latest
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clc //Chapter1 //Ex_1.1 //Given A=8*10^-77 // in J m^6 B=1.12*10^-133 // in J m^12 //lennard-Jones 6-12 potential Energy (PE)curve is E(r)=-A*r^-6+B*r^-12 //For bonding to occur PE should be minimum, hence differentiating the PE equation and setting it to Zero at r=ro we get ro=(2*B/A)^(1/6) disp(ro,"Bond length in meters is") E_bond= -A*ro^-6+(B*ro^-12)//in J E_bond=abs(E_bond/(1.6*10^-19)) disp(E_bond,"Bond Energy for solid argon in ev is")
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a=imread('bima.jpg'); a=double(a); [r,c,m]=size(a); com=[128 64 32 16 8 4 2 1]; for k=1:1:length(com); for i=1:r for j=1:c for z=1:m new(i,j,z)=bitand(a(i,j,z), com(k)); end end end figure(); subplot(221); imshow(new); xtitle('Foto Asli'); subplot(222); imshow(new(:,:,1)); xtitle('Lapisan Merah'); subplot(223); imshow(new(:,:,2)); xtitle('Lapisan Hijau'); subplot(224); imshow(new(:,:,3)); xtitle('Lapisan Biru'); end
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clc; clear; V=5;//m/s sg=1.03; h=50;//m //since static pressure is greater than stagnation pressure, Bernoulli's equation is incorrect //p2=(d*(V1^2)/2)+(d*g*h) ; V1=V p2=(((sg*1000)*(V^2)/2) + (sg*1000*9.81*h))/1000;//kPa disp("kPa",p2,"The pressure at stagnation point 2 =")
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clear //given M=8 d=0.2 u=4*%pi*10**-7 //Calculation B=u*2*M/(4*%pi*d**3) Beqa=B/2.0 //Result printf("\n (i) Magnetic induction at axial point %0.3f *10**-4 T", B*10**4) printf("\n (ii) Magnetic induction at equatorial point is %0.3f *10**-4 T",Beqa*10**4)
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Headglitch 180.sce
Name=Headglitch 180 PlayerCharacters=Quaker BotCharacters=Quaker Bot Long Strafes.bot IsChallenge=true Timelimit=60.0 PlayerProfile=Quaker AddedBots=Quaker Bot Long Strafes.bot;Quaker Bot Long Strafes.bot;Quaker Bot Long Strafes.bot;Quaker Bot Long Strafes.bot;Quaker Bot Long Strafes.bot;Quaker Bot Long Strafes.bot PlayerMaxLives=0 BotMaxLives=0;0;0;0;0;0 PlayerTeam=1 BotTeams=2;2;2;2;0;0 MapName=180headglitch.map MapScale=6.0 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=false InvincibleBots=false Timescale=1.0 BlockHealthbars=true TimeRefilledByKill=0.0 ScoreToWin=1000.0 ScorePerDamage=1.0 ScorePerKill=0.0 ScorePerMidairDirect=0.0 ScorePerAnyDirect=0.0 ScorePerTime=0.0 ScoreLossPerDamageTaken=0.0 ScoreLossPerDeath=0.0 ScoreLossPerMidairDirected=0.0 ScoreLossPerAnyDirected=0.0 ScoreMultAccuracy=false ScoreMultDamageEfficiency=false ScoreMultKillEfficiency=false GameTag=PubG, RoE, Battle Royale WeaponHeroTag=MG DifficultyTag=3 AuthorsTag=Xen0cidal BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=true BlockFCT=false Description=180 shooting gallery with bots that headglitch. GameVersion=1.0.7.2 ScorePerDistance=0.0 [Aim Profile] Name=At Feet MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=-200.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Aim Profile] Name=Low Skill At Feet MinReactionTime=0.35 MaxReactionTime=0.45 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=20.0 TrackSpeed=3.0 TrackError=5.0 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=60.0 ShootFOV=25.0 VerticalAimOffset=-200.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Aim Profile] Name=Low Skill MinReactionTime=0.35 MaxReactionTime=0.45 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=20.0 TrackSpeed=3.0 TrackError=5.0 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=60.0 ShootFOV=25.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Aim Profile] Name=Default MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Bot Profile] Name=Quaker Bot Long Strafes DodgeProfileNames=Long Strafes DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;2.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=At Feet;Low Skill At Feet;Low Skill;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=Quaker SeeThroughWalls=false NoDodging=false NoAiming=false [Character Profile] Name=Quaker MaxHealth=70.0 WeaponProfileNames=;;;MG;;;; MinRespawnDelay=0.001 MaxRespawnDelay=0.001 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=2.0 CameraOffset=X=0.000 Y=0.000 Z=80.000 HeadshotOnly=false DamageKnockbackFactor=4.0 MovementType=Base MaxSpeed=550.0 MaxCrouchSpeed=500.0 Acceleration=9000.0 AirAcceleration=16000.0 Friction=4.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=3.0 AirControl=0.25 CanCrouch=true CanPogoJump=false CanCrouchInAir=true CanJumpFromCrouch=false EnemyBodyColor=X=0.771 Y=0.000 Z=0.000 EnemyHeadColor=X=1.000 Y=1.000 Z=1.000 TeamBodyColor=X=1.000 Y=0.888 Z=0.000 TeamHeadColor=X=1.000 Y=1.000 Z=1.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=0.0 MainBBType=Cylindrical MainBBHeight=400.0 MainBBRadius=100.0 MainBBHasHead=true MainBBHeadRadius=70.0 MainBBHeadOffset=-45.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=false ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=700.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 [Dodge Profile] Name=Long Strafes MaxTargetDistance=4000.0 MinTargetDistance=700.0 ToggleLeftRight=true ToggleForwardBack=false MinLRTimeChange=1.0 MaxLRTimeChange=2.0 MinFBTimeChange=0.2 MaxFBTimeChange=0.5 DamageReactionChangesDirection=false DamageReactionChanceToIgnore=0.5 DamageReactionMinimumDelay=0.125 DamageReactionMaximumDelay=0.25 DamageReactionCooldown=1.0 DamageReactionThreshold=50.0 DamageReactionResetTimer=0.5 JumpFrequency=0.0 CrouchInAirFrequency=0.0 CrouchOnGroundFrequency=0.0 TargetStrafeOverride=Ignore TargetStrafeMinDelay=0.125 TargetStrafeMaxDelay=0.25 MinProfileChangeTime=0.0 MaxProfileChangeTime=0.0 MinCrouchTime=0.3 MaxCrouchTime=0.6 MinJumpTime=0.3 MaxJumpTime=0.6 LeftStrafeTimeMult=1.0 RightStrafeTimeMult=1.0 StrafeSwapMinPause=0.0 StrafeSwapMaxPause=0.0 BlockedMovementPercent=0.5 BlockedMovementReactionMin=0.125 BlockedMovementReactionMax=0.2 [Weapon Profile] Name=MG Type=Hitscan ShotsPerClick=10 DamagePerShot=1.0 KnockbackFactor=0.0 TimeBetweenShots=0.07 Pierces=false Category=FullyAuto BurstShotCount=1 TimeBetweenBursts=0.5 ChargeStartDamage=10.0 ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=2000.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=2000.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=0.000 Y=0.000 Z=0.000 MaxTravelTime=5.0 MaxHitscanRange=10000.0 GravityScale=1.0 HeadshotCapable=true HeadshotMultiplier=2.0 MagazineMax=40 AmmoPerShot=1 ReloadTimeFromEmpty=1.0 ReloadTimeFromPartial=1.0 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=1.0 DelayBeforeShot=0.0 HitscanVisualEffect=None ProjectileGraphic=Ball VisualLifetime=0.0001 WallParticleEffect=None HitParticleEffect=None BounceOffWorld=false BounceFactor=0.5 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=1.0 CanAimDownSight=true ADSZoomDelay=0.0 ADSZoomSensFactor=0.5 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.01 HitSoundCooldown=0.01 HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=0.0 RecoilNegatable=false DecalType=0 DecalSize=4.0 DelayAfterShooting=0.0 BeamTracksCrosshair=false AlsoShoot= ADSShoot= StunDuration=0.0 CircularSpread=false SpreadStationaryVelocity=300.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.01 HitscanVisualRadius=0.001 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 ProjectileTrail=None RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=false AimPunchAmount=0.0 AimPunchResetTime=0.2 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=false MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=40 CancelReloadOnKill=false FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=79.0 ADSFOVScale=Quake Champions ADSAllowUserOverrideFOV=true IsBurstWeapon=false ForceFirstPersonInADS=true ZoomBlockedInAir=false ADSCameraOffsetX=0.0 ADSCameraOffsetY=0.0 ADSCameraOffsetZ=0.0 QuickSwitchTime=0.1 Explosive=false Radius=500.0 DamageAtCenter=100.0 DamageAtEdge=100.0 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=false DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=1.0,1.0,-1.0,0.0 SpreadSCA=1.0,1.0,-1.0,0.0 SpreadMSA=1.0,1.0,-1.0,0.0 SpreadMCA=1.0,1.0,-1.0,0.0 SpreadSSH=1.0,1.0,-1.0,0.0 SpreadSCH=1.0,1.0,-1.0,0.0 SpreadMSH=1.0,1.0,-1.0,0.0 SpreadMCH=1.0,1.0,-1.0,0.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.05 TimeToRecoilReset=0.35 AAMode=0 AAPreferClosestPlayer=false AAAlpha=0.05 AAMaxSpeed=1.0 AADeadZone=0.0 AAFOV=30.0 AANeedsLOS=true TrackHorizontal=true TrackVertical=true AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=false TriggerBotDelay=0.0 TriggerBotFOV=1.0 StickyLock=false HeadLock=false VerticalOffset=0.0 DisableLockOnKill=false UsePerShotRecoil=false PSRLoopStartIndex=0 PSRViewRecoilTracking=0.45 PSRCapUp=9.0 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.175 PSRResetDegreesPerSec=40.0 UsePerBulletSpread=true PBS0=0.0,0.0 PBS1=0.0,0.0 PBS2=0.0,0.0 PBS3=0.0,0.0 PBS4=0.0,0.0 PBS5=0.0,0.0 PBS6=0.0,0.0 PBS7=0.0,0.0 PBS8=0.0,0.0 PBS9=0.0,0.0 [Map Data] reflex map version 8 global entity type WorldSpawn String32 targetGameOverCamera end UInt8 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//chemical kinetics and catalysis// //example 3.16// t1=10//time in min// t2=20; t3=30; t4=40; ri=32.4;//rotation in degrees when t=0min// r1=28.8;//rotation in degrees when t=10min// r2=25.5;//rotation in degrees when t=20min// r3=22.4;//rotation in degrees when t=30min// r4=19.6;//rotation in degrees when t=40min// rf=-11.1;//rotation in degrees when t=0min// a=ri-rf;//a value// a1=r1-rf;//a-x value at t=10min// a2=r2-rf;//a-x value at t=20min// a3=r3-rf;//a-x value at t=30min// a4=r4-rf;//a-x value at t=40min// k1=(1/t1)*log(a/a1); printf("Rate constant value at t=10min %f/min",k1); k2=(1/t2)*log(a/a2); printf("\nRate constant value at t=20min %f/min",k2); k3=(1/t3)*log(a/a3); printf("\nRate constant value at t=30min %f/min",k3); k4=(1/t4)*log(a/a4); printf("\nRate constant value at t=40min %f/min",k4); printf("\nSince rate constant values are nearly same,hence inversion of sucrose is of first order");
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clc // given data A=0.25 // area in m^2 d=0.5 // distance between electrodes in m B=1.8 // flux density in Wb/m^2 u=1200.0 // average gas velocity in m/s sigma=10.0 // mho/m Vo=B*u*d // in Volts Pmax=1*sigma*(u**2)*(B**2)*A*d/(4.0*10**6) // in MW printf("Maximum Power output %.3f MW",Pmax)
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//1. Find the four fundamental subspaces of A=( 1 2 0 1, 0 1 1 0, 1 2 0 1 ) clear; close; clc; A=[1 2 0 1;0 1 1 0;1 2 0 1]; disp('A=',A); [m,n]=size(A); disp('m=',m); disp('n=',n); [v,pivot]=rref(A); disp(rref(A)); disp(v); r=length(pivot); disp('rank=',r) cs=A(:,pivot); disp('Column Space',cs); ns=kernel(A); disp('Null space=',ns); rs= v(1:r, :)'; disp('Row Space =',rs) lns = kernel(A'); disp('Left Null Space =',lns);
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//[]=black(sl,fmin,fmax,pas,comments) //Black's diagram (Nichols chart) for a linear system sl. //sl can be a continuous-time, discrete-time or sampled SIMO system //Syntax: // // black( sl,fmin,fmax [,pas] [,comments] ) // black(frq,db,phi [,comments]) // black(frq, repf [,comments]) // // sl : SIMO linear system (see syslin). In case of multi-output // system the outputs are plotted with differents symbols. // // fmin : minimal frequency (in Hz). // fmax : maximal frequency (in Hz). // pas : logarithmic discretization step. (see calfrq for the // choice of default value). // comments : character strings to comment the curves. // // frq : (row)-vector of frequencies (in Hz) or (SIMO case) matrix // of frequencies. // db : matrix of modulus (in Db). One row for each response. // phi : matrix of phases (in degrees). One row for each response. // repf : matrix of complex numbers. One row for each response. //To plot the grid of iso-gain and iso-phase of y/(1+y) use abaque() //%Example // s=poly(0,'s') // h=syslin('c',(s**2+2*0.9*10*s+100)/(s**2+2*0.3*10.1*s+102.01)) // abaque(); // black(h,0.01,100,'(s**2+2*0.9*10*s+100)/(s**2+2*0.3*10.1*s+102.01)') // // // h1=h*syslin('c',(s**2+2*0.1*15.1*s+228.01)/(s**2+2*0.9*15*s+225)) // black([h1;h],0.01,100,['h1';'h']) //See also: // bode nyquist abaque freq repfreq //! xbasc() [lhs,rhs]=argn(0); pas_def='auto' // // // ilf=0 typ=type(sl) //-compat next line added for list/tlist compatibility if typ==15 then typ=16,end select typ case 16 then // sl,fmin,fmax [,pas] [,comments] typ=sl(1) if typ<>'lss'&typ<>'r' then error(97,1) end select rhs case 1 then //sl comments=' ' [frq,d,phi]=repfreq(sl);sl=[] case 2 then // sl,frq comments=' ' [frq,d,phi]=repfreq(sl,fmin);fmin=[];sl=[] case 3 , if type(fmax)==1 then comments=' ' [frq,d,phi]=repfreq(sl,fmin,fmax,pas_def),sl=[] else comments=fmax [frq,d,phi]=repfreq(sl,fmin);fmin=[];sl=[] end case 4 , if type(pas)==1 then comments=' ', else comments=pas;pas=pas_def end, [frq,d,phi]=repfreq(sl,fmin,fmax,pas) case 5 then, [frq,d,phi]=repfreq(sl,fmin,fmax,pas) else error('invalid call: sys,fmin,fmax [,pas] [,com]') end; //bode(sl,fmin,fmax,pas,comments) case 1 then //frq,db,phi [,comments] or frq, repf [,comments] select rhs case 2 , //frq,repf comments=' ' [phi,d]=phasemag(fmin),fmin=[] case 3 then if type(fmax)=1 then comments=' '//frq db phi d=fmin,fmin=[] phi=fmax,fmax=[] else [phi,d]=phasemag(fmin);fmin=[] comments=fmax end; case 4 then comments=pas;d=fmin;fmin=[];phi=fmax;fmax=[] else error('invalid call :frq,db,phi,[com] ou frq,repf,[com]') end; frq=sl;sl=[];[mn,n]=size(frq); if mn<>1 then ilf=1; else ilf=0; end; else error('invalid call to black') end; [mn,n]=size(phi); // if comments=' ' then comments(mn)=' '; mnc=0; strf='011' else mnc=mn; strf='111' end; rect=[-360;mini(d);0;maxi(d)] [xmn,xmx,npx]=graduate(-360,0) [ymn,ymx,npy]=graduate(mini(d),maxi(d)) rect=[xmn,ymn,xmx,ymx] leg=strcat(comments,'@') plot2d(phi',d',-(1:mn),strf,leg,rect,[10,npx,10,npy]); kf=1 phi1=phi+5*ones(phi); xgeti=xget("mark"); xset("mark",2,xgeti(2)); xset("clipgrf"); kk=1;p0=[phi(:,kk) d(:,kk)];ks=1;dst=0; dx=rect(3)-rect(1) dy=rect(4)-rect(2) dx2=dx^2;dy2=dy^2 while kk<n kk=kk+1 dst=dst+mini(((phi(:,kk-1)-phi(:,kk))^2)/dx2+((d(:,kk-1)-d(:,kk))^2)/dy2) if dst>0.001 then if mini(abs(frq(:,ks(prod(size(ks))))-frq(:,kk))./frq(:,kk))>0.2 then ks=[ks kk] dst=0 end end end kf=1 for k=1:mn, xnumb(phi(k,ks),d(k,ks),frq(kf,ks),0); xpoly(phi(k,ks),d(k,ks),'marks',0); kf=kf+ilf end; xclip(); xtitle('h(2i.pi.f) ','phase','magnitude'); // contour 2.3 db mbf=2.3; lmda=exp(log(10)/20*mbf); r=lmda/(lmda**2-1); npts=100; crcl=exp(%i*(-%pi:(2*%pi/npts):%pi)); lgmt=log(-r*crcl+r*lmda*ones(crcl)); plot2d([180*(imag(lgmt)/%pi-ones(lgmt))]',[(20/log(10)*real(lgmt))]',... [-2,mnc+1],"100",'2.3db curve'), xset("mark",xgeti(1),xgeti(2));
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//Transport Processes and Seperation Process Principles //Chapter 3//Example 3.5-1 //Principles of Momentum Transfer and Applications //given data Kd=15.23; nd=0.4; D=0.0524; V=0.0728; L=14.9; rho=1041; delP=(Kd*4*L/D)*((8*V/D)^nd);//pressure drop Ff=delP/rho;//friction loss nd=0.4; g=8; Re=((D^nd)*(V^(2-nd))*rho)/(Kd*(g^(nd-1))); f=16/Re;//friction factor delP=4*f*rho*(L/D)*(V*V/2); mprintf("pressure drop= %f kN/m2",delP/1000)
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load Not.hdl, output-file Not.out, output-list a out; set a 0, eval, output; set a 1, eval, output;
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Plan Carat 1 7,ménagères - 50 ans 101 -1 1 1 0 1,B198,101 f:\source\SFR01 10390000 1 1 1,1200,1200,8,1,0,2.4, 02/04/98,1 1,2040,2040,8,1,0,17.4, 02/04/98,1 3,1915,1915,8,1,0,3.6, 02/04/98,1 11,1315,1315,8,1,0,1.2, 02/04/98,1 EOJ
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//Variable Declaration delf=5 //Deviation frequency (kHz) Bs=1 //Test Tone Frequency (kHz) CNR=30 //Carrier to noise ration(dB) //Calculation m=delf/Bs //Modulation Index Gp=3*(m**2)*(m+1) //Processing gain for sinusoidal modulation Gp=10*log10(Gp) //Converting Gp into dB SNR=CNR+Gp //Results printf("The receiver processing gain is %.1f dB",Gp) printf("\nThe Signal to noise ratio is %.1f dB",SNR)
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hs.search.kate.sce
400 kate historysave_7.txt 409 sudo kate /opt/lampp/etc/extra/httpd-vhosts.conf 400 kate historysave_7.txt 409 sudo kate /opt/lampp/etc/extra/httpd-vhosts.conf 400 kate historysave_7.txt 409 sudo kate /opt/lampp/etc/extra/httpd-vhosts.conf 407 sudo kate /opt/lampp/etc/httpd.conf 409 sudo kate /opt/lampp/etc/httpd.conf 407 sudo kate /opt/lampp/etc/httpd.conf 409 sudo kate /opt/lampp/etc/httpd.conf 405 kate apt.conf.d/ 406 sudo kate apt.conf.d/ 240 sudo kate /etc/apt/apt.conf 403 sudo kate /etc/apt/apt.conf
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Ex6_2.sce
clear; clc; printf("\nEx-6.2\n"); //page no.-184 //given no=5.8*10^28;......//free electrons per m^3 e=1.6*10^-19;......//charge in C h= 1.05*10^-34;.....//planck's constant in Js m=9.1*10^-31;.......//mass of electron in kg E=(3*no*%pi^2)^(2/3)*(h^2)/(2*m*e)......//fermi energy of electron printf("\nfermi energy of electron is 5.4 eV\n"); v=((2*E)/m)^(1/2);......//speed of electron in m/s printf("\nspeed of electron is 1.4*10^6 m/s");
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clc // Given That sigma = 2e-6 // surface charge density in c/m^2 on XY plane theta = 60 // angle between normal and X axis on degree r = 10 // radius of circle in cm epsilon_0 = 8.85e-12 // permitivity of free space //Sample Problem 9 Page No. 84 printf("\n # Problem 9 # \n ") printf("standard formula used \n phi = sigma*A*cos(theta)/(2*epsilon_0) \n\n") phi = sigma* %pi*(r*1e-2)^2 * cos (theta*%pi/180) / (2*epsilon_0) //calculation of Flux through coil printf("Flux through coil is %e Nm^2/C. \n", phi)
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example6_8_a.sce
clear; clc; printf("\t Example 6_8_a\n"); Ls=1000; //mass of bone dry solid ais the drying surface A=55; //both upper surafce and lower surface are exposed v=.75; //velocity of air Nc=.3*10^-3; //in kg/m^2*s x2=.2; //moisture content on wet basis finally after drying Xcr=0.125; //crtical moisture content X1=0.15; //moisture content on dry basis intially X2=0.025; //moisture content on dry basis finally after drying Xbar=0.0; //equillibrium moisture tbar=(Ls/(A*Nc))*((X1-Xcr)+(Xcr-Xbar)*log((Xcr-Xbar)/(X2-Xbar))); printf("\n the time for drying the sheets from .15 to .025 kg water /kg of dyr solid moisture under same drying conditions is :%f hour",tbar/3600); //end
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manasdas17/kiks-scilab
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kiks_siminfo_robotpos.sci
function [res] = kiks_siminfo_robotpos() // Ouput variables initialisation (not found in input variables) res=[]; // Display mode mode(0); // Display warning for floating point exception ieee(1); // [x,y,angle] = kiks_siminfo_robotpos(port); // ----------------------------------------------------- // (c) 2000-2004 Theodor Storm <theodor@tstorm.se> // http://www.tstorm.se // ----------------------------------------------------- global("KIKS_ROBOT_MATRIX","KIKS_WALL_WIDTH"); if ~isempty(KIKS_ROBOT_MATRIX) then res(1,1) = matrix(mtlb_s(mtlb_double(KIKS_ROBOT_MATRIX(1,1,1)),mtlb_double(KIKS_WALL_WIDTH)),1,-1); res(1,2) = matrix(mtlb_s(mtlb_double(KIKS_ROBOT_MATRIX(1,1,2)),mtlb_double(KIKS_WALL_WIDTH)),1,-1); res(3) = KIKS_ROBOT_MATRIX(1,1,3); else res = []; end; endfunction
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//find value of 6x+2y-3x+4y-3 when x=3 & y=2 clear; clc; close; x_coeff=6-3;y_coeff=2+4; //"substitue given values" x=3;y=2; val=x_coeff*x + y_coeff*y -3
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//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 18.4 //calculation of refractive index of material from known critical angle //given data thetac=48.2; //critical angle for water(in degree) //calculation //snell's law with respect to total internal reflection mu=1/sind(thetac); //sind represents that the argument is in degree disp(mu,'refractive index of material is ');
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// Scilab code: Ex3.25 : Unertainity in the velocity of an electron:Pg: 94 (2008) m = 9.1e-31; // Mass of an electron, kg del_x = 1e-10; // Length of box, m h_bar = 6.6e-034; // Reduced Plancks constant, joule second del_v = h_bar/(2*%pi*del_x*m); // Minimum uncertainity in velocity of an electron, m/s del_p = m*del_v; // Uncertainity in Momentum of electron, kgm/s printf("\nThe uncertainity in the velocity of the electron = %3.2e m/s", del_v); // Result // The uncertainity in the velocity of the electron = 1.15e+006 m/s
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~BivLCM-SR-bfas_ee_hrz_col-PLin-VLin.tst
THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM. ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 0.378538D+00 2 -0.129930D-02 0.316497D-02 3 0.161253D+00 -0.215754D-02 0.286325D+00 4 -0.194314D-02 0.133656D-02 -0.537426D-02 0.212767D-02 5 0.229956D-02 0.147987D-03 0.137296D-03 0.207611D-03 0.282665D-02 6 -0.562063D-03 0.878548D-04 -0.338160D-03 0.703408D-04 -0.257797D-03 7 0.134409D-02 0.180755D-03 0.213488D-03 0.153075D-03 0.635896D-03 8 0.215329D-02 0.179978D-04 0.156267D-02 -0.114984D-04 0.997488D-04 9 -0.272013D+00 0.364398D-01 -0.246695D+00 0.635131D-02 0.961460D-01 10 0.758732D-01 0.123152D-01 -0.172057D-02 0.248651D-01 0.137447D+00 11 -0.360799D-01 0.114517D-01 -0.118210D+00 0.898307D-02 0.427904D-01 12 -0.256367D+00 0.870199D-02 -0.530613D+00 0.249603D-01 0.442872D-01 13 0.341819D-02 0.650644D-02 -0.213972D-01 0.935237D-02 0.203696D-01 14 -0.196038D+00 0.717455D-03 -0.307310D+00 0.136921D-01 0.115634D-02 15 -0.831027D+00 -0.856794D-01 -0.406378D+00 -0.102740D-01 -0.167702D+00 16 -0.464216D-01 -0.920130D-02 -0.409890D-02 -0.642945D-02 -0.311445D-02 17 -0.615411D-02 -0.674999D-03 -0.448407D-02 -0.389550D-03 -0.437096D-03 18 -0.703748D+00 -0.144702D-01 -0.657935D+00 -0.881196D-02 -0.251858D-02 19 -0.887248D-02 -0.529817D-02 0.178461D+00 -0.937051D-02 -0.429523D-02 20 -0.117865D+01 0.119142D-01 -0.237574D+01 0.405221D-01 0.202116D-01 21 0.541374D-03 -0.403396D-02 -0.173159D+00 -0.249076D-02 0.401463D-02 22 -0.240293D-02 -0.340009D-03 -0.405572D-02 -0.260511D-03 -0.596768D-03 23 -0.437249D-02 -0.536144D-02 0.351218D-01 -0.919301D-02 0.808601D-03 24 0.717437D-03 -0.910679D-04 -0.649304D-03 0.162478D-03 -0.516294D-03 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.153599D-02 7 0.938200D-03 0.270700D-02 8 0.609397D-03 0.400261D-04 0.302961D-02 9 0.175615D-01 0.733113D-01 0.962951D-02 0.584041D+02 10 -0.610087D-02 0.311298D-01 0.745310D-02 0.238440D+01 0.194830D+02 11 0.281233D-01 0.473055D-01 -0.508979D-02 0.181857D+02 0.165756D+01 12 -0.639055D-02 0.266722D-01 -0.313506D-01 0.386979D+01 0.276192D+01 13 0.716877D-01 0.725408D-01 0.306855D-01 0.554896D+00 0.508432D+01 14 0.371779D-01 0.110382D-02 0.126820D+00 0.182633D+01 0.429900D+01 15 0.798936D-02 -0.514698D-01 -0.436199D-01 -0.148927D+02 -0.133879D+02 16 -0.279333D-03 -0.104587D-02 -0.994049D-03 0.808784D+00 -0.394850D+00 17 0.108189D-04 -0.410118D-03 0.198307D-03 -0.103601D+00 -0.375762D-01 18 -0.757463D-01 -0.100165D+00 -0.878979D-01 -0.109134D+02 -0.556292D+00 19 -0.109077D-01 0.240935D-02 -0.997763D-02 -0.279129D+01 -0.272945D+00 20 -0.577765D-01 -0.146668D-01 -0.230496D+00 -0.256766D+01 0.156180D+01 21 0.672168D-02 -0.581342D-02 0.305757D-02 0.315414D+01 -0.687436D-01 22 0.175762D-03 -0.244611D-03 0.555118D-03 0.131818D-01 -0.487818D-01 23 -0.181151D-03 0.104007D-03 -0.558164D-02 0.924434D-01 -0.241067D+00 24 -0.826565D-04 -0.491498D-03 0.903602D-03 -0.270350D-02 -0.206347D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.241518D+02 12 0.146969D+02 0.119420D+03 13 0.556208D+00 -0.346691D+00 0.110556D+02 14 0.694267D+00 0.117199D+01 0.669090D+01 0.286079D+02 15 -0.847144D+01 -0.588092D+01 -0.269151D+01 -0.575347D+01 0.339060D+03 16 0.767973D-01 0.910919D-01 -0.132510D+00 0.212139D+00 0.310102D+01 17 -0.257953D-02 -0.213767D-01 -0.128132D-01 -0.447534D-02 -0.136282D+01 18 -0.398529D+01 -0.108635D+02 -0.418535D+01 -0.270622D+01 0.159439D+03 19 -0.814276D-01 0.980693D+00 -0.418014D+00 -0.475705D+00 0.461019D+01 20 0.366369D+00 -0.175543D+02 -0.322594D+01 -0.147358D+02 0.776846D+02 21 0.456182D+00 -0.126225D+01 0.784955D-01 0.318067D+00 -0.282462D+01 22 -0.444306D-01 0.147106D-01 -0.900276D-02 0.718687D-02 -0.550804D+00 23 0.401821D+00 0.106409D+01 -0.136216D+00 -0.397343D+00 0.713853D-01 24 -0.698619D-01 -0.133246D+00 -0.636820D-02 0.625432D-01 -0.191395D+00 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.562928D+00 17 -0.245070D-01 0.154950D-01 18 0.121558D+01 -0.632470D+00 0.190928D+03 19 0.127135D+00 -0.294252D-01 0.550153D+01 0.352892D+01 20 0.357952D+00 -0.296299D+00 0.134157D+03 0.269534D+01 0.227010D+03 21 0.373442D+00 0.107233D-01 -0.283604D+01 -0.295482D+01 -0.131548D+01 22 -0.930391D-02 0.633845D-02 -0.755044D+00 -0.611006D-01 -0.529823D+00 23 0.156587D+00 -0.484591D-02 0.318308D+00 0.232550D+00 0.330566D+00 24 -0.445907D-02 0.332443D-02 -0.440223D+00 -0.442042D-01 -0.728788D+00 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 0.388465D+01 22 0.143537D-01 0.912207D-02 23 0.325111D+00 -0.193543D-01 0.577182D+00 24 0.679858D-02 0.620983D-02 -0.511200D-01 0.103849D-01 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 -0.038 1.000 3 0.490 -0.072 1.000 4 -0.068 0.515 -0.218 1.000 5 0.070 0.049 0.005 0.085 1.000 6 -0.023 0.040 -0.016 0.039 -0.124 7 0.042 0.062 0.008 0.064 0.230 8 0.064 0.006 0.053 -0.005 0.034 9 -0.058 0.085 -0.060 0.018 0.237 10 0.028 0.050 -0.001 0.122 0.586 11 -0.012 0.041 -0.045 0.040 0.164 12 -0.038 0.014 -0.091 0.050 0.076 13 0.002 0.035 -0.012 0.061 0.115 14 -0.060 0.002 -0.107 0.055 0.004 15 -0.073 -0.083 -0.041 -0.012 -0.171 16 -0.101 -0.218 -0.010 -0.186 -0.078 17 -0.080 -0.096 -0.067 -0.068 -0.066 18 -0.083 -0.019 -0.089 -0.014 -0.003 19 -0.008 -0.050 0.178 -0.108 -0.043 20 -0.127 0.014 -0.295 0.058 0.025 21 0.000 -0.036 -0.164 -0.027 0.038 22 -0.041 -0.063 -0.079 -0.059 -0.118 23 -0.009 -0.125 0.086 -0.262 0.020 24 0.011 -0.016 -0.012 0.035 -0.095 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 0.460 1.000 8 0.282 0.014 1.000 9 0.059 0.184 0.023 1.000 10 -0.035 0.136 0.031 0.071 1.000 11 0.146 0.185 -0.019 0.484 0.076 12 -0.015 0.047 -0.052 0.046 0.057 13 0.550 0.419 0.168 0.022 0.346 14 0.177 0.004 0.431 0.045 0.182 15 0.011 -0.054 -0.043 -0.106 -0.165 16 -0.009 -0.027 -0.024 0.141 -0.119 17 0.002 -0.063 0.029 -0.109 -0.068 18 -0.140 -0.139 -0.116 -0.103 -0.009 19 -0.148 0.025 -0.096 -0.194 -0.033 20 -0.098 -0.019 -0.278 -0.022 0.023 21 0.087 -0.057 0.028 0.209 -0.008 22 0.047 -0.049 0.106 0.018 -0.116 23 -0.006 0.003 -0.133 0.016 -0.072 24 -0.021 -0.093 0.161 -0.003 -0.046 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 0.274 1.000 13 0.034 -0.010 1.000 14 0.026 0.020 0.376 1.000 15 -0.094 -0.029 -0.044 -0.058 1.000 16 0.021 0.011 -0.053 0.053 0.224 17 -0.004 -0.016 -0.031 -0.007 -0.595 18 -0.059 -0.072 -0.091 -0.037 0.627 19 -0.009 0.048 -0.067 -0.047 0.133 20 0.005 -0.107 -0.064 -0.183 0.280 21 0.047 -0.059 0.012 0.030 -0.078 22 -0.095 0.014 -0.028 0.014 -0.313 23 0.108 0.128 -0.054 -0.098 0.005 24 -0.139 -0.120 -0.019 0.115 -0.102 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 1.000 17 -0.262 1.000 18 0.117 -0.368 1.000 19 0.090 -0.126 0.212 1.000 20 0.032 -0.158 0.644 0.095 1.000 21 0.253 0.044 -0.104 -0.798 -0.044 22 -0.130 0.533 -0.572 -0.341 -0.368 23 0.275 -0.051 0.030 0.163 0.029 24 -0.058 0.262 -0.313 -0.231 -0.475 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 1.000 22 0.076 1.000 23 0.217 -0.267 1.000 24 0.034 0.638 -0.660 1.000
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clear; clear gt gf; lines(0); // -------------------------------------------------------------------------- function f = calc_propagators(w,d) global gt gf np lambda; // // Array initialization with zeros // gt for s=1:np for z=1:np+1 gt(s,z)=0.0; end // for z end // for s // gf for s=1:np for z=1:np+d+1 gf(s,z)=1.0; end // for z end // for s // // Initial condition gt(1,1)=w; for z=1:d gf(1,z)=w; end // for z // Start recurrence for s=2:np gt(s,1)=(4.0*gt(s-1,1)+gt(s-1,2))*w; gf(s,1)=(4.0*gf(s-1,1)+gf(s-1,2))*w; for z=2:s if z<=d then wx=w; else wx=1.0; end // if gt(s,z)=(gt(s-1,z-1)+4.0*gt(s-1,z)+gt(s-1,z+1))*wx; gf(s,z)=(gf(s-1,z-1)+4.0*gf(s-1,z)+gf(s-1,z+1))*wx; end // for z for z=s+1:np+d if z<=d then wx=w; else wx=1.0; end // if gf(s,z)=(gf(s-1,z-1)+4.0*gf(s-1,z)+gf(s-1,z+1))*wx; end // for z gf(s,np+d+1)=gf(s,np+d); end // for s // //gst=sparse(gt); //gsf=sparse(gf); f=0.0; endfunction // -------------------------------------------------------------------------- function f = calc_observables(w,d) global gst gsf np; theta=0.0; Zn=gf(np,1); for z=1:d for s=1:np theta = theta + gt(s,z)*gf(np+1-s,z); end // for s end // for z f(1)=theta/w/Zn/np; endfunction // -------------------------------------------------------------------------- ////////////////////// // Main program // ////////////////////// ////////////////////// // Global variables // ////////////////////// global gt gf np lambda; ////////////////// // Initial data // ////////////////// lambda=0.16666666667; // 1/6 np=100; // number of units in the chain d=40; // par0 = 0.0; par9 = 1.5; n=75; pst=(par9-par0)/n; for j=1:n+1 par=par0+pst*(j-1); u=par; w=exp(-u); printf('\nj = %i u = %f \n', j, u); f=calc_propagators(w,d); Zn=gf(np,1); for k=1:np res(k,1)=k; res(k,2)=gt(np,k)/Zn; end // for k // Write data into file s = 'pe_np=' + string(np) + '_d=' + string(d) + '_u=' + string(u) + '.dat'; u=file('open',s,'unknown'); write(u, res, '(1(f14.8), 32(e16.8))'); file('close',u); end // for j // Plot subplot(1,1,1); plot(res(:,1),res(:,2),'-r') xlabel('z') ylabel('Pe(z)')
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function r=%spe(i,j,a) // r=a(i,j) for f sparse in some special cases //! [lhs,rhs]=argn(0) if rhs==2 then a=j; a=a(:) r=a(i) end
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clc clear //Input data d2=22;//The venturi throat diameter of a simple carburettor in mm Cda=0.82;//The coefficient of air flow dj=1.2;//The fuel orifice diameter in mm Cdf=0.7;//The coefficient of fuel flow Z=0.004;//The petrol surface below the throat in m g=9.81;//The gravitational constant in m/s^2 da=1.2;//The density of air in kg/m^3 df=750;//The density of fuel in kg/m^3 P=0.075;//The pressure drop in bar //Calculations A=(Cda/Cdf)*(d2^2/dj^2)*(da/df)^(1/2);//The air fuel ratio A1=(Cda/Cdf)*(d2^2/dj^2)*((da*P)/(df*(P-(g*Z*df)/10^5)))^(1/2);//Air fuel ratio when the nozzle lip Z is considered Ca2=(2*g*Z*df/da)^(1/2);//Critical velocity at the throat in m/s //Output printf(' (a) The air fuel ratio when the nozzle lip is neglected = %3.2f \n (b)The air fuel ratio when the nozzle lip is considered = %3.2f \n (c) The critical air velocity or minimum velocity required to start the fuel flow = %3.0f m/s ',A,A1,Ca2)
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<?xml version="1.0" encoding="utf-8"?> <test> <description> Convert pts to csv </description> <executable>FieldConvert</executable> <parameters> -f -e chan3D_pts.pts chan3D_pts.csv</parameters> <files> <file description="Session File">chan3D_pts.pts</file> </files> <metrics> <metric type="L2" id="1"> <value variable="x" tolerance="1e-6">1</value> <value variable="y" tolerance="1e-6">1</value> <value variable="z" tolerance="1e-6">1</value> <value variable="p" tolerance="1e-6">136931</value> </metric> </metrics> </test>
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//Exa 9.18 clc; clear; close; //given : Ht=60 // height of transmitting antenna in meter Hr=6 // height of receiving antenna in meter d=sqrt(17*Ht)+sqrt(17*Hr) // in Km disp(d,"range of line of sight in Km:")
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clc clear //Input data m=3;//Mass of substance in the system in kg P1=500;//Initial pressure of the system in kPa P2=100;//Final pressure of the system in kPa V1=0.22;//Initial volume of the system in m^3 n=1.2;//Polytropic index Q1=30;//Heat transfer for the another process //Calculations V2=V1*(P1/P2)^(1/1.2);//Final volume of the system in m^3 U=3.56*(P2*V2-P1*V1);//Total change in internal energy in kJ W1=(P2*V2-P1*V1)/(1-n);//Work done for the 1-2 process in kJ Q=U+W1;//Heat developed in the process in kJ W2=Q1-U;//Work done for the another process in kJ //Output printf('(a)Total change in internal energy U = %3.0f kJ \n (b)Work done for the 1-2 process W = %3.0f kJ \n (c)Heat developed in the process Q = %3.0f kJ \n (d)Work done for the another process W = %3.0f kJ ',U,W1,Q,W2)
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clear;lines(0); genlib('auto1','SCI/macros/auto') disp(auto1)
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function [J,G]=cost1(v); n = length(v) J = 0 G = [] for i=1:n J = J + (v(i) - 1)^2 gradient = 2*(v(i)-1) G = cat(1, G, gradient) end endfunction function [J,G]=cost2(v); n = length(v) J = 0 G = [] for i=1:n J = J + (v(i) - i)^2 gradient = 2*(v(i)-i) G = cat(1, G, gradient) end endfunction function [J,G]=costR(v); n = length(v) J = 0 G = [] for i=1:(n-1) J = J + ((v(i+1) - v(i)^2)^2 + (v(i)- 1)^2) if i == 1 then gradient = 4 * v(i) * (v(i+1) - v(i)^2) + 2 * (v(i) - 1) elseif i > 1 then gradient = 2*(v(i)-v(i-1)^2)-(4*v(i)*(v(i+1) - v(i)^2)) + (2*(v(i)-1)) end G = cat(1, G, gradient) end Gn = 2*(v(n) - 1) G = cat(1, G, Gn) endfunction function Avk=Av(v) // A = tridiag[-1,2,-1] n = length(v) Avk(1) = 2*v(1) - v(2) for i=2:(n-1) Avk(i) = -v(i-1) + 2*v(i) - v(i+1) end Avk(n) = -v(n-1) + 2*v(n) endfunction function [J, G]=cost5(v) f(1:length(v)) = 1 J = 1/2 * Av(v)' * v - f' * v + sum(v^2) G = Av(v) - f + 2 * v endfunction function [J, G]=cost6(v) f(1:length(v)) = 1 J = 1/2 * Av(v)' * v - f' * v + sum(v^4) G = Av(v) - f + 4 * v^3 endfunction
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14_9w.sce
//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 14.9w //calculation of the elongation of the wire //given data W=10//weight(in N) of the block A=3*10^-6//area(in m^2) of the cross section r=20*10^-2//radius(in m) of the circle of rotation v=2//speed(in m/s) of the block Y=2*10^11///Young modulus(in N/m^2) of the wire g=10//gravitational acceleration(in m/s^2) of the earth //calculation m=W/g//mass of the block T=W+(m*v*v/r)//tension L=r l=(T*L)/(A*Y)//elongation printf('the elongation of the wire is %3.1e cm',l*10^2)
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EX17_29.sce
clc;funcprot(0);//EXAMPLE 17.29 // Initialisation of Variables n=4;.................//No of cylinders C=45200;..................//calorific value of fuel in kJ/kg etamech=0.82;...............//Mechanical efficiency etarel=0.7;.................//Relative efficiency etast=0.52;...............//Air standard efficiency etav=0.78;...............//Volumetric efficiency sbr=1.25;...................//Stroke bore ratio N=2400;...................//Engine rpm p=1;.......................//Suction pressure in bar t=298;....................//Suction temperature in bar BP=72;...................//Brake power in kW ga=1.4;......................//Degree of freedom afr=16;.................//Air fuel ratio R=287;.......................//Gas constant in J/kg //calculations r=(1/(1-etast))^(1/(ga-1));............//Compression ratio disp(r,"The compression ratio :") etath=etast*etarel;.....................//Indicated thermal efficiency disp(etath*100,"Indicated thermal efficiency:") IP=BP/etamech;....................//Indicated power in kW mf=IP/(etath*C);......................//Fuel consumption in kg/s bsfc=mf/BP;......................//Brake specific fuel consumption in kg/kWs disp(bsfc*3600,"Brake specific fuel consumption (in kg/kWs):") mafm=afr+1;......................//Mass of air fuel mixture in kg/kg of fuel mafm1=mafm*mf;....................//Mass of air fuel mixture when mf amount of fuel is supplied to engine per second v=(mafm1*R*t)/(p*10^5);.......................///Volume of air fuel mixture supplied to the engine in m^3 Vs=v/etav;..............................//Swept volume in m^3 D=((Vs)/((%pi/4)*sbr*n*(N/(2*60))))^(1/3);............//Engine bore in m disp(D*1000,"Engine bore (in mm):") disp(D*1000*sbr,"Engine stroke (in mm):")
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/aula3/parte 1/ex4_b_h1.sce
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Gervaes/PDI
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2018-06-21T14:01:39
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sce
ex4_b_h1.sce
//CÁLCULO DE REALCE E AGUÇAMENTO: MÁSCARA h1 NÃO-NORMALIZADA //lendo imagens e capturando dimensões img = imread("C:\Users\Grrv\Desktop\PDI\aula3\parte 1\teste.jpg"); img = rgb2gray(img); [rows,columns] = size(img); h1 = [0, -1, 0; -1, 8, -1; 0, -1, 0]; maskGeradora = [0, 0, 0; 0, 9, 0; 0, 0, 0]; function []=PrintMatrix(rows,columns,image) for i=1:rows for j=1:columns printf("[%d] ", image(i,j)); end printf("\n"); end endfunction function [image]=Agucamento() for i=1:rows for j=1:rows image(i,j) = detector(i,j) + geradora(i,j); end end endfunction function [image]=MascaraGeradora(w) soma = 0; image = img; for i=1:rows for j=1:columns if rows-i >= w-1 & columns-j >= w-1 then for m=i:i+w-1 for n=j:j+w-1 soma = double(soma + double(img(m,n))*(maskGeradora(m-i+1,n-j+1))); end end image(i+floor(w/2),j+floor(w/2)) = abs(soma); soma = 0; end end end endfunction //cálculo do detector de altas frequências (h1 não-normalizado) function [image]=Detector(w) soma = 0; image = img; for i=1:rows for j=1:columns if rows-i >= w-1 & columns-j >= w-1 then for m=i:i+w-1 for n=j:j+w-1 soma = double(soma + double(img(m,n))*(h1(m-i+1,n-j+1))); end end image(i+floor(w/2),j+floor(w/2)) = abs(soma); soma = 0; end end end endfunction printf("MATRIZ ORIGINAL:\n"); PrintMatrix(rows,columns,img); //detector printf("MATRIZ H1 NÃO-NORMALIZADA:\n"); detector = Detector(3); PrintMatrix(rows,columns,detector); //geradora printf("MATRIZ GERADORA DE MESMA IMAGEM:\n"); geradora = MascaraGeradora(3); PrintMatrix(rows,columns,geradora); //Soma dos dois filtros printf("MATRIZ DE AGUÇAMENTO:\n"); final = Agucamento(); PrintMatrix(rows,columns,final); //Escritas de imagem em arquivo figure; imshow(img); figure; imshow(detector); figure; imshow(geradora); figure; imshow(final);
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ex4_9.sce
errcatch(-1,"stop");mode(2);// Example 4.9, Page No-207 R1=10*10^3 Rf=100*10^3 Cf=10*10^-9 fa=1/(2*%pi*Rf*Cf) printf("fa= %d Hz", fa) exit();
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ex14_2.sce
//Find the output voltage clear; clc; //soltion //given R1=20*10^3;//ohm Rf=2000*10^3;//ohm v1=4;//V v2=3.8;//V vo=v2*(1+Rf/R1)-(Rf/R1)*v1; printf("The output voltage= %.1f V",vo);
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jhasler/rasp30
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send_email_ip_pw.sce
global email_id_string email_pw_string chip_num email_name fname; fsendemail=figure('figure_position',[800,400],'figure_size',[250,200],'auto_resize','on','background',[12],'figure_name','Send Email ID & PW'); delmenu(fsendemail.figure_id,gettext('File')) delmenu(fsendemail.figure_id,gettext('?')) delmenu(fsendemail.figure_id,gettext('Tools')) delmenu(fsendemail.figure_id,gettext('Edit')) toolbar(fsendemail.figure_id,'off') handles.dummy = 0; handles.email_id=uicontrol(fsendemail,'unit','normalized','BackgroundColor',[1,1,1],'Enable','on','FontAngle','normal','FontName','mukti narrow','FontSize',[14],'FontUnits','points','FontWeight','normal','ForegroundColor',[0,0,0],'HorizontalAlignment','center','ListboxTop',[],'Max',[1],'Min',[0],'Position',[0.15,0.70,0.7,0.2],'Relief','flat','SliderStep',[0.01,0.1],'String','Email address','Style','edit','Value',[0],'VerticalAlignment','middle','Visible','on','Tag','email_id','Callback','email_id_callback(handles)'); handles.email_pw=uicontrol(fsendemail,'unit','normalized','BackgroundColor',[1,1,1],'Enable','on','FontAngle','normal','FontName','mukti narrow','FontSize',[14],'FontUnits','points','FontWeight','normal','ForegroundColor',[0,0,0],'HorizontalAlignment','center','ListboxTop',[],'Max',[1],'Min',[0],'Position',[0.15,0.4,0.7,0.2],'Relief','flat','SliderStep',[0.01,0.1],'String','Password','Style','edit','Value',[0],'VerticalAlignment','middle','Visible','on','Tag','email_pw','Callback','email_pw_callback(handles)'); handles.Send=uicontrol(fsendemail,'unit','normalized','BackgroundColor',[0.27,0.5,0.7],'Enable','on','FontAngle','normal','FontName','mukti narrow','FontSize',[14],'FontUnits','points','FontWeight','bold','ForegroundColor',[1,1,1],'HorizontalAlignment','center','ListboxTop',[],'Max',[1],'Min',[0],'Position',[0.35,0.1,0.3,0.2],'Relief','flat','SliderStep',[0.01,0.1],'String','Send','Style','pushbutton','Value',[0],'VerticalAlignment','middle','Visible','on','Tag','Send','Callback','id_pw_send_email(handles)');
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ex3_10.sce
// Exa 3.10 clc; clear; close; // Given data Rho = 9.6*10^-2;// ohm-m Sigma_n = 1/Rho;// in (ohm-m)^-1 Miu_n = 1300;// in cm^2/V-s Miu_n = Miu_n * 10^-4;// in m^2/V-s q = 1.6*10^-19;// in C N_D = Sigma_n/(Miu_n*q);// in atoms/m^3 d = 5*10^22;// in atoms/cm^3 d = d * 10^6;// in atoms/m^3 R_d = N_D/d;// Ratio disp(R_d,"Ratio of donor atom to silicon atoms per unit volume is");
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vohrahul/ML-ang-coursera
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2020-10-16T12:33:25
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class-concat.tst
%!test %! f = foo (); %! x = [f,f]; %! assert (size (x), [1, 2]); %! assert (class (x), "foo"); %!test %! f = foo (); %! x = [f,f]; %! tmp = num2cell (x); %! assert (iscell (tmp)); %! assert (size (tmp), [1, 2]); %! assert (class (tmp{1}), "foo"); %! assert (class (tmp{2}), "foo");
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mikeg2105/matlab-old
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test1_7.sce
jobname='test1_7'; exec("h3_dx.sce"); exec("initial.sce"); exec("analywave.sce"); exec("spheretocart.sce"); exec("invert.sce"); exec("centralderiv.sce"); exec("curelation.sce"); exec("method.sce"); exec("sources.sce"); exec("fluxes.sce"); exec("boundaries.sce"); exec("onebound.sce"); iterations=20.000000; nx=6.000000; ny=6.000000; nz=6.000000; dx=0.020000; dy=0.020000; dz=0.020000; par1=0.000700; par2=-1.000000; h3_dx(iterations,nx,ny,nz,dx,dy,dz,par1,par2,jobname); exit;
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c9_14.sce
//(9.14) A converging nozzle has an exit area of 0.001 m2. Air enters the nozzle with negligible velocity at a pressure of 1.0 MPa and a temperature of 360 K. For isentropic flow of an ideal gas with k = 1.4, determine the mass flow rate, in kg/s, and the exit Mach number for back pressures of (a) 500 kPa and (b) 784 kPa. //solution //variable initialization Tnot = 360 //in kelvin pnot = 1 //in MPa A2 = .001 //in m^2 k = 1.4 pstarbypnot = (1+(k-1)/2)^(k/(1-k)) pstar = pstarbypnot*pnot //part(a) //since back pressure of 500 kpa is less than critical pressure pstar(528kpa in this case) found above, the nozzle is choked //at the exit M = 1 p2 = pstar //in MPa printf('the exit mach number for back pressure of 500kpa is: %f',M) T2 = Tnot/(1+((k-1)/2)*(M^2)) //exit temperature in kelvin R = 8.314 //universal gas constant, in SI units M = 28.97 //molar mass of air in grams V2 = sqrt(k*(R/M)*T2*10^3) //exit velocity in m/s mdot = (p2/((R/M)*T2))*A2*V2*10^3 //mass flow rate in kg/s printf('\nthe mass flow rate in kg/s for back pressure of 500kpa is: %f',mdot) //part(b) //since the back pressure of 784kpa is greater than critical pressure of pstar determined above,the flow throughout the nozzle is subsonic and the exit pressure equals the back pressure, p2 = 784 //exit pressure in kpa M2 = {(2/(k-1))*[(pnot*10^3/p2)^((k-1)/k)-1]}^.5 //exit mach number T2 = Tnot/(1+((k-1)/2)*(M2^2)) //exit temperature in kelvin V2 = M2*sqrt(k*(R/M)*10^3*T2) //exit velocity in m/s mdot2 = (p2/((R/M)*T2))*A2*V2 //mass flow rate in kg/s printf('\n\nthe mass flow rate at the exit in kg/s for back pressure of 784kpa is: %f',mdot2) printf('\nthe exit mach number for back pressure of 784 kpa is: %f',M2)
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2020-04-09T02:43:26.499817
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ex_5.sce
// PG (484) // A be n * n // norm(A*x,2) // norm(A*x,2) <= norm(A,'fro') * norm(x,2) // norm(A*B,'fro') = norm(A,'fro') * norm(B,'fro')
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sci
idfrd.sci
function X = idfrd(Response,Freq,Ts) X = struct('Response',Response,'Freq',Freq,'Ts',Ts); endfunction
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KokiHirokawa/nand2tetris
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2020-10-31T08:58:28
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tst
Or16Way.tst
load Or16Way.hdl, output-file Or16Way.out, compare-to Or16Way.cmp, output-list in%B2.16.2 out%B2.1.2; set in %B0000000000000000, eval, output; set in %B1111111111111111, eval, output; set in %B0001000000000000, eval, output; set in %B0000000100000000, eval, output; set in %B0010011000000000, eval, output;
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sonusharma55/Signal-Toolbox
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2020-03-22T21:37:22.593805
2018-07-12T12:35:54
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140,701,211
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sci
levdown.sci
function [a,e]=levdown(a, efinal) ee=a($); a = (a-a($)*flipdim(a,2,1))/(1-a($)^2); a=a(1:$-1) econj=conj(ee); econj=econj'; e = efinal/(1.-(econj.*ee)); endfunction
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2020-04-09T02:43:26.499817
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sce
EX_2_9_b.SCE
// Example 2.9.B: Calculate collector current Vcc=20;// Colector voltage in volts Rb= 200;// in kilo ohms Beta=75;//Common emitter D.C. Current gain Rc=0.8;// Collector resistance in killo ohms Vbe= 0;// Base to emitter voltage in volts Ib=0.1;// Base current in mA Ic=Beta*Ib;// Collector current in mA disp(Ic,"Collector current in mA")
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clc //solution //given //refer fig 10.16 b=120//mm//width t=15//mm//thickness l1=b-12.5//mm s=15//mm ft1=70//N/mm^2//tensile stress ft2=56//N/mm^2//shear stress //let l2 be length of weld //P=A*ft P=120*15*ft1//N ft11=ft1/1.5//N/mm^2 ft22=ft2/2.7//N/mm^2 P1=0.707*s*l1*ft11//N //P2=0.707*s*l2*ft22=440*l2//N //P=P1+P2//N l2=(P-P1)/440//mm printf("the value of length of static weld is,%f mm\n",l2+12.5)
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Ex15_3.sce
// Problem no 15.3,Page no.352 clc;clear; close; p=2*10**6 //MPa //Steam Pressure t=0.02 //m //thickness of boiler plate sigma_t=120*10**6 //MPa //Tensile stress sigma_l=120*10**6 //MPa //Longitudinal stress rho=0.90 //% //Efficiency of Longitudinal joint rho_e=0.40 //% //Efficiency of circumferential joint //Calculations D_1=sigma_t*2*t*rho*p**-1 //Diameter of boiler D_2=sigma_l*4*t*rho_e*p**-1 //Diameter of boiler //Max diameter of boiler is equal to minimum value of diameter //Result printf("Maximum diameter of boiler is %.2f",D_2);printf(" m")
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// Exa 5.23 clc; clear; close; format('v',6) // Given data A = 400; Beta = 0.01; // The gain with feedback Af =A/(1+(A*Beta)); disp(Af,"The gain with feedback is"); f_L = 200;// in Hz // The Lower cut-off frequency with feedback f_LF = f_L/(1+(A*Beta));// in Hz disp(f_LF,"The Lower cut-off frequency with feedback in Hz is"); f_H = 40;// in kHz f_H = f_H * 10^3;// in Hz // The Upper cut-off frequency with feedback f_HF = f_H*(1+(A*Beta));// in Hz f_HF=f_HF*10^-3;// in k Hz disp(f_HF,"The Upper cut-off frequency with feedback in kHz is"); // Note: In the book, there is calculation error to find the value of gain with feedback i.e. Af, so the answer in the book is wrong.
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/Couverture d’un Put dans le modèle CRR/Defaut_de_couverture.sci
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exec("S.sci"); exec("Couverture.sci"); function [cours_final,valeur_finale]=defaut_de_couverture(N,K,r,a,b,cours) Valeur=zeros(1,N+1); Defaut=zeros(1,N+1); // A l'instant 0 S_0 = cours(1); V_0 = Prix(0,N,K,r,a,b,S_0); Valeur(1) = V_0; // calcul de la couverture entre 0 et 1 H = Couverture(1,N,K,r,a,b,S_0); SoHo = V_0 - H * S_0; // condition d'autofinancement for n=1:N-1 // on est en n S_n = cours(n+1); // nouvelle valeur du portefeuille en n //A COMPLETER V = H * S_n + SoHo * ???; // calcul de la nouvelle couverture entre n et n+1 H = Couverture(n+1,N,K,r,a,b,S_n); // autofinancement //A COMPLETER SoHo = ?????; Valeur(n+1) = V; Defaut(n+1) = V-Prix(n,N,K,r,a,b,S_n) end; // on est en N S_N = cours(N+1); V = H * S_N + SoHo * (1+r); res = V - payoff(cours(N+1),K); Valeur(N+1) = V; Defaut(N+1) = res; cours_final = cours(N+1); valeur_finale = V; endfunction q=20; valeur=zeros(1,q); cours=zeros(1,q); v_payoff=zeros(1,q); for i=1:q do [cours(i),valeur(i)] = defaut_de_couverture(N,K,r,a,b,S(N,0.5,a,b,S0)); v_payoff(i)=payoff(cours(i),K); end defautCouverture=norm(v_payoff-valeur) clf() plot2d(cours,valeur,style=-1);
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@relation abalone @attribute Sex{M,F,I} @attribute Length real[0.075,0.815] @attribute Diameter real[0.055,0.65] @attribute Height real[0.0,1.13] @attribute Whole_weight real[0.002,2.8255] @attribute Shucked_weight real[0.001,1.488] @attribute Viscera_weight real[5.0E-4,0.76] @attribute Shell_weight real[0.0015,1.005] @attribute Rings{15,7,9,10,8,20,16,19,14,11,12,18,13,5,4,6,21,17,22,1,3,26,23,29,2,27,25,24} @inputs Sex,Length,Diameter,Height,Whole_weight,Shucked_weight,Viscera_weight,Shell_weight @outputs Rings @data 11 9 9 6 8 8 7 6 12 9 21 9 13 9 9 9 10 8 10 8 10 8 5 5 9 8 10 8 16 9 20 9 10 9 11 9 10 9 12 8 13 9 8 6 12 9 15 9 15 9 6 4 11 8 9 6 3 4 14 9 23 9 10 8 7 6 13 9 11 6 11 9 8 8 15 9 20 9 11 8 6 5 18 9 22 9 11 8 10 6 15 9 11 9 10 8 5 5 3 4 11 8 15 6 11 9 12 8 16 8 10 9 13 6 13 6 11 8 12 8 13 8 18 8 15 8 7 8 19 9 11 9 10 8 10 6 7 6 13 8 11 9 10 6 8 6 9 6 7 5 12 8 17 9 10 9 11 9 12 9 9 8 9 8 10 9 9 9 10 9 14 9 17 9 6 4 5 4 4 5 5 6 5 6 6 7 6 6 6 6 7 8 8 8 8 9 9 9 10 9 10 9 9 8 4 4 6 6 7 6 7 8 7 6 6 6 9 8 8 8 9 9 9 8 9 9 8 9 10 9 8 9 10 9 11 9 11 9 5 5 6 7 6 6 8 6 7 8 8 8 9 8 9 8 9 8 10 8 9 8 9 8 9 8 8 8 10 8 9 9 10 9 9 8 10 9 9 9 10 9 12 9 11 9 11 9 10 9 11 9 7 6 9 6 8 6 7 8 8 8 11 9 10 9 9 9 11 9 12 9 11 9 7 6 8 6 7 8 10 9 9 8 9 9 9 8 8 8 9 9 10 9 11 9 8 9 8 8 9 9 10 9 9 9 11 9 11 9 11 9 11 9 15 9 7 9 12 9 7 6 8 8 8 8 10 9 9 9 9 9 8 9 13 9 6 6 7 6 7 6 10 8 9 8 6 8 9 8 12 9 12 9 11 9 12 9 10 9 7 6 8 8 10 8 5 4 5 5 8 6 7 6 7 6 8 8 8 8 7 8 8 8 10 9 17 9 10 9 8 6 5 5 11 9 5 6 13 9 13 9 6 9 13 8 7 6 15 9 17 9 10 8 14 9 14 9 13 9 9 8 8 8 11 9 9 6 21 9 17 9 16 9 13 9 15 9 10 6 8 9 11 7 16 9 16 9 13 8 12 8 9 6 14 9 18 9 12 8 14 9 7 6 12 8 15 9 6 6 11 9 6 6 7 8 7 8 7 8 8 8 8 9 9 9 12 9 7 6 7 6 8 8 8 8 7 8 8 9 8 9 9 8 7 9 9 9 9 9 6 7 7 6 7 6 7 6 9 8 10 9 10 9 9 9 4 5 8 7 6 6 7 8 9 8 10 9 11 9 11 9 6 6 8 8 8 8 8 8 9 9 10 9 10 8 11 9 10 9 11 9 9 9 9 9 11 9 12 9 11 9 4 4 9 8 9 8 8 8 8 6 7 6 10 8 10 9 9 8 10 8 20 9 10 9 7 5 11 9 11 8 9 7 10 8 12 9 13 9 14 9 13 9 12 9 14 9 13 9 14 9 14 8 9 6 19 9 8 6 8 7 5 4 12 8 18 9 9 8 8 9 5 6 6 6 8 8 8 8 9 9 8 8 8 8 11 9 6 6 8 8 8 9 11 9 10 9 10 9 11 9 9 9 10 9 13 9 8 6 9 8 9 8 10 9 10 9 9 8 9 9 11 9 9 9 9 8 13 9 12 9 12 9 8 8 10 8 9 8 11 9 14 9 12 9 14 8 19 9 9 8 12 9 9 7 9 6 16 9 6 6 19 9 10 8 13 9 8 8 12 8 10 9 10 6 6 5 11 9 10 9 6 6 8 6 7 6 4 4 6 6 8 8 9 8 7 7 6 6 9 9 10 9 10 9 8 8 10 9 12 9 8 8 11 9 11 9 6 7 11 9 9 9 10 9
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clear// //Variable Declaration L=4 //Length of each section in ft h_ab=4 //Thickness of the front section in inches h_bd=6 //Thickness of the back section in inches P=2000 //Point load acting at point A in lb M_B=8000 //Moment at 4ft in lb.ft M_D=16000 //Moment at x=8ft in lb.ft b=2 //Breadth in inches //Calculations S_ab=b*h_ab**2*6**-1 //Sectional Modulus of section AB in in^3 S_bd=b*h_bd**2*6**-1 //Sectional Modulus of section BD in in^3 sigma_B=12*M_B*S_ab**-1 //Maximum bending stress in psi sigma_D=12*M_D*S_bd**-1 //Maximum bending stress in psi //Maximum stress sigma_max=max(sigma_B,sigma_D) //Maximum stress in psi //Result printf("\n Comparing the two results we find that the maximum stress is") printf("\n Sigma_max= %0.0f psi",sigma_max)
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TF_4.sce
// sum 9-4 clc; clear; d=20; t=4; Lg=84; Ad=%pi*d^2/4; Eb=205*10^3; Ed=105*10^3; kb=Ad*Eb/Lg; lg=80; x=5*(lg+(0.5*d))/(lg+(2.5*d)); kp=%pi*Ed*d/(2*log(x)); At=245; sigb=105; Pe=20*10^3; Pb=Pe*kb/(kb+kp); sigad=Pb/At; finalst=sigb+sigad; // printing data in scilab o/p window printf("final stress is %0.2f N/mm^2 ",finalst);
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//chapter2.example.5// clc clear //core refractive index=n1,cladding refractive index=n2,radius of core=a,operating wavelength=l,number of guided modes=M,ratio of power flow in the core and cladding=z// n1=1.50; n2=1.49; a=30*(10^-6); l=0.85*(10^-6); h=(2*%pi*a)/l; x=(n1^2)-(n2^2); M=((h^2)*x)/2; printf("\n number of guided modes=M=%f modes\n",M); y=(4*(M^-0.5))/3; g=1-y; z=g/y; printf("\n ratio of power flow in the core and cladding=%f\n",z);
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20_25.sce
//Problem 20.25: A single-phase auto transformer has a voltage ratio 320 V:250 V and supplies a load of 20 kVA at 250 V. Assuming an ideal transformer, determine the current in each section of the winding. //initializing the variables: V1 = 320; // in Volts V2 = 250; // in Volts S = 20000; // in VA //calculation: //Rating = 20 kVA = V1*I1 = V2*I2 //Hence primary current, I1 I1 = S/V1 //secondary current, I2 I2 = S/V2 //Hence current in common part of the winding I = I2 - I1 printf("\n\n Result \n\n") printf("\n current in common part of the winding is %.1f A", I) printf("\n primary current and secondary current are %.1f A and %.0f A respectively",I1, I2)
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30_10.sce
clear// //Variables gm = 2.0 * 10**-3 //Transconductance (in Ampere per volt) rd = 40.0 * 10**3 //Resistance (in ohm) RD = 20.0 * 10**3 //Drain resistance (in ohm) RG = 100.0 * 10**6 //Gate resistance (in ohm) //Calculation rL = RD * rd / (RD + rd) //a.c. equivalent resistance (in ohm) Av = -gm * rL //Voltage gain R1i = RG //input resistance (in ohm) R1o = rL //output resistance (in ohm) //Result printf("\n Voltage gain is %0.1f .",Av) printf("\n Input resistance is %0.3f Mega-ohm.\nOutput resistance is %0.1f kilo-ohm.",R1i*10**-6,R1o*10**-3)
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// A Texbook on POWER SYSTEM ENGINEERING // A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar // DHANPAT RAI & Co. // SECOND EDITION // PART IV : UTILIZATION AND TRACTION // CHAPTER 6: MOTORS FOR ELECTRIC TRACTION // EXAMPLE : 6.1 : // Page number 788 clear ; clc ; close ; // Clear the work space and console // Given data I_1 = 10.0 // Current(A) T_1 = 54.0 // Torque(N-m) I_2 = 20.0 // Current(A) T_2 = 142.0 // Torque(N-m) I_3 = 30.0 // Current(A) T_3 = 250.0 // Torque(N-m) I_4 = 40.0 // Current(A) T_4 = 365.0 // Torque(N-m) I_5 = 50.0 // Current(A) T_5 = 480.0 // Torque(N-m) I_6 = 60.0 // Current(A) T_6 = 620.0 // Torque(N-m) I_7 = 70.0 // Current(A) T_7 = 810.0 // Torque(N-m) E = 500.0 // Operating voltage(V) R_a = 0.6 // Armature resistance(ohm) // Calculations N_1 = 9.55*(E-I_1*R_a)*I_1/T_1 // Speed(rpm) N_2 = 9.55*(E-I_2*R_a)*I_2/T_2 // Speed(rpm) N_3 = 9.55*(E-I_3*R_a)*I_3/T_3 // Speed(rpm) N_4 = 9.55*(E-I_4*R_a)*I_4/T_4 // Speed(rpm) N_5 = 9.55*(E-I_5*R_a)*I_5/T_5 // Speed(rpm) N_6 = 9.55*(E-I_6*R_a)*I_6/T_6 // Speed(rpm) N_7 = 9.55*(E-I_7*R_a)*I_7/T_7 // Speed(rpm) // Results disp("PART IV - EXAMPLE : 6.1 : SOLUTION :-") printf("\nSpeed-current of the motor") printf("\n_______________________________________") printf("\n Current(A) : Speed(rpm) ") printf("\n_______________________________________") printf("\n %.f : %.f ", I_1,N_1) printf("\n %.f : %.f ", I_2,N_2) printf("\n %.f : %.f ", I_3,N_3) printf("\n %.f : %.f ", I_4,N_4) printf("\n %.f : %.f ", I_5,N_5) printf("\n %.f : %.f ", I_6,N_6) printf("\n %.f : %.f ", I_7,N_7) printf("\n_______________________________________\n") printf("\nNOTE: ERROR: Calculation mistakes in the textbook solution")
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//CHAPTER 3 ILLUSRTATION 10 PAGE NO 108 //TITLE:FRICTION clc clear //=========================================================================================== //INPUT DATA PI=3.147 d=2.5// MEAN DIA OF BOLT IN cm p=.6// PITCH IN cm beeta=55/2// VEE ANGLE dc=4// DIA OF COLLAR IN cm U=.1// COEFFICIENT OF FRICTION OF BOLT Uc=.18// COEFFICIENT OF FRICTION OF COLLAR W=6500// LOAD ON BOLT IN NEWTONS L=38// LENGTH OF SPANNER //============================================================================================= //CALCULATION //LET X=tan(py)/tan(beeta) //y=tan(ALPHA)*X PY=atand(U) ALPHA=atand(p/(PI*d)) X=tand(PY)/cosd(beeta) Y=tand(ALPHA) T1=W*d/2*10^-2*(X+Y)/(1-(X*Y))// TORQUE IN SCREW IN N-m Tc=Uc*W*dc/2*10^-2// TORQUE ON BEARING SERVICES IN N-m T=T1+Tc// TOTAL TORQUE P1=T/L*100// FORCE REQUIRED BY @ THE END OF SPANNER //============================================================================================= //OUTPUT printf('FORCE REQUIRED @ THE END OF SPANNER=%3.3f N',P1)
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// **************************************************************** // Bibliothèque sommaire associée au cours d'optique non-linéaire // (c) 2014 Ecole Polytechnique // Version 1.3 // **************************************************************** // Modification des limites de l'axe des abscisses d'un graphe // Doit être appelé juste après plot function xlim(x) ax = gca(); ax.data_bounds(1,1) = x(1); ax.data_bounds(2,1) = x(2); endfunction; // Modification des limites de l'axe des ordonnées d'un graphe // Doit être appelé juste après plot function ylim(y) ax = gca(); ax.data_bounds(1,2) = y(1); ax.data_bounds(2,2) = y(2); endfunction; // Phase (en radians) d'un nombre complexe function result = angle(z) z = z + bool2s(z==0); // Pour éviter une erreur si z=0. result = atan(imag(z),real(z)) endfunction; // Supprime par continuité les sauts de 2pi dans la phase function result = unwrap(phi) result = phi - [0 2*%pi*cumsum(floor(.5+diff(phi)/2/%pi))]; endfunction; // Prend l'inverse terme à terme d'un vecteur // Dans Scilab, si x est une matrice n x 1, 1./x donne une matrice // 1 x n telle que le produit de la matrice 1xn par la matrice // initiale nx1 donne 1. // Il faudrait en principe utiliser 1 ./ x avec un espace entre le // 1 et le . // inverse(x) paraît plus lisible que 1 ./x car on a vite fait // d'oublier l'espace. function result = inverse(x) result = 1 ./x; endfunction; // Prend le carré d'une grandeur (plus rapide que .^2) function result = sqr(x) result = x .* x; endfunction; // Fonction de Heaviside function result = heaviside(x) // (x>0) est un tableau de boolean // transformé en 0 ou 1 à l'aide de bool2s result = bool2s(x>0); endfunction; // Ecart quadratique d'une grandeur x pondérée par l'amplitude de probabilité field function result = ecartQuad(x,field) n2 = sum(sqr(abs(field))); xMoy = sum(x.*sqr(abs(field)))/n2; x2Moy = sum(x.*x.*sqr(abs(field)))/n2; result = sqrt(x2Moy-sqr(xMoy)); endfunction; // Choix de l'échelle de couleur utilisée pour les représentations en fausses couleurs // 0 pour niveaux de gris, 1 pour jetcolormap function setColorMap(i) hcf = gcf(); select i case 0 then hcf.color_map = graycolormap(256); case 1 then hcf.color_map = jetcolormap(256); end; endfunction; // Lecture d'un fichier ascii au format csv (comma separated values) function result = csvread(fileName) fd = mopen(fileName); str = mgetl(fd); [n dummy] = size(str); // n est le nombre de lignes [m dummy] = size(tokens(str(1),",")); // m est le nombre de colonnes for i=1:n line = tokens(str(i),","); for j=1:m result(i,j) = sscanf(line(j),"%e"); end; end; mclose(fd); endfunction; // Décale un tableau array de la quantité spécifiée shift // en répétant le premier (resp. dernier) point si le décalage est // positif (resp. négatif) function result = shiftArray(array, shift) result = ones(array); if (shift>0) then result = result.*array(1); result(shift+1:$)=array(1:$-shift); elseif (shift<0) then result = result.*array($); result(1:$+shift)=array(1-shift:$); else // shift = 0 result = array; end endfunction // Détermine les maxima des données spécifiées // L'argument optionnel width spécifie la largeur (en pixels) de la zone // dont les points trouvés doivent être maximum // Par défaut width = 10, ce qui signifie que chaque maximum est le point // le plus haut d'une zone de 21 pixels de large function result = findMaxima(data,width) if (argn(2)==1) then width = 10; // Valeur par défaut du deuxième argument optionnel end threshold = zeros(data); for i=1:width threshold = max(threshold,shiftArray(data,i),shiftArray(data,-i)); end result = find(data>threshold); endfunction // Transformée de Fourier avec rotation pour centrer la fréquence nulle function result = ft(data) result = fftshift(fft(fftshift(data))); endfunction; // Transformée de Fourier inverse avec rotation pour centrer la fréquence nulle function result = ift(data) result = fftshift(ifft(fftshift(data))); endfunction; // ftAxis // Création de deux tableaux (fréquence et temps) calibrés l'un par rapport à l'autre pour // une FFT. L'espacement entre deux points de fréquence est l'inverse de la largeur totale // dans l'espace des temps. Inversement, l'espacement entre deux points de temps est l'inverse // de la largeur totale en fréquence. // Les axes de fréquence et de temps sont supposés centré sur zéro // // nPoints : Nombre de points (un nombre obligatoirement pair, de préférence une puissance de 2) // nuMax : Valeur maximale de la fréquence (ie moitié de la largeur totale) // nu : Axe des fréquences. Le point d'indice nPoints/2 vaut toujours zéro // t : Axe des temps. Le point d'indice nPoints/2 vaut toujours zéro function [nu, t] = ftAxis(nPoints, nuMax) deltaNu = 2*nuMax/nPoints; deltaT = 1/(2*nuMax); nu = -nuMax:2*nuMax/nPoints:nuMax-(2*nuMax/nPoints); t = -nPoints/2*deltaT:deltaT:(nPoints/2-1)*deltaT; endfunction; // Formule de Sellmeier pour le calcul de l'indice de réfraction // n^2 = 1 + B1/(1-C1/lambda^2) + B2/(1-C2/lambda^2) + B3/(1-C3/lambda^2) // lambda s'exprime en microns function result = sellmeier(lambda,b1,b2,b3,c1,c2,c3) lm2 = lambda.^-2; result = sqrt(1+b1./(1-c1*lm2)+b2./(1-c2*lm2)+b3./(1-c3*lm2)); endfunction; // Dérivée de la formule de Sellmeier pour le calcul de l'indice de groupe // lambda s'expriem en microns function result = sellmeierGroupe(lambda,b1,b2,b3,c1,c2,c3) lm2 = lambda.^(-2); lm3 = lambda.^(-3); ndn = -b1*c1.*lm3./sqr(1-c1*lm2)-b2*c2.*lm3./sqr(1-c2*lm2)-b3*c3.*lm3./sqr(1-c3*lm2); n = sellmeier(lambda,b1,b2,b3,c1,c2,c3); result = n-ndn./n.*lambda; endfunction // Indices ordinaire et extraordinaire de quelques matériaux courants // La longueur d'onde lambda s'exprime en microns function [no, ne] = indice(cristal,lambda) lambda2 = sqr(lambda); select cristal case 'BBO' then no = sqrt(2.7405+.0184./(lambda2-.0179)-.0155 *lambda2); ne = sqrt(2.3730+.0128./(lambda2-.0156)-.0044 *lambda2); case 'AgGaS2' then no = sqrt(3.40684+2.40065*lambda2./(lambda2-.09311)+2.06248*lambda2./(lambda2-950)); ne = sqrt(3.60728+1.94792*lambda2./(lambda2-.11066)+2.24544*lambda2./(lambda2-1030.7)); case 'KDP' then no = sqrt(2.259276 + 0.01008956./(lambda2 - 0.012942625) ... + 13.005522*lambda2./(lambda2 - 400)); ne = sqrt(2.132668 + 0.008637494./(lambda2 - 0.012281043) ... + 3.2279924*lambda2./(lambda2 - 400)); case 'LiNbO3' then no = sqrt(1 + 2.6734*lambda2./(lambda2 - 0.01764)+ 1.2290*lambda2./(lambda2 - 0.05914) + 12.614*lambda2./(lambda2 - 474.60)); ne = sqrt(1 + 2.9804*lambda2./(lambda2 - 0.02047)+ 0.5981*lambda2./(lambda2 - 0.0666) + 8.9543*lambda2./(lambda2 - 416.08)); case 'LiIO3' then no = sqrt(2.03132 + 1.37623*lambda2./(lambda2 - 0.0350823)+ 1.06745*lambda2./(lambda2 - 169)); ne = sqrt(1.83086 + 1.08807*lambda2./(lambda2 - 0.0313810)+ 0.0554582*lambda2./(lambda2 - 158.76)); case 'SiO2' then // http://cvilaser.com/Common/PDFs/Dispersion_Equations.pdf no = sellmeier(lambda,.6961663,.4079426,.8974794,4.67914826E-3,1.35120631E-2,9.79340025E1); ne = no; case 'SF10' then no = sellmeier(lambda,1.61625977,0.259229334,1.07762317,0.0127534559,0.0581983954,116.60768); ne = no; case 'BK7' then no = sellmeier(lambda,1.03961212,0.231792344,1.01046945,0.00600069867,0.0200179144,103.560653); ne = no; case 'CaF2' then // http://www.us.schott.com/lithotec/english/download/caf2_june_2006_final_us.pdf no = sellmeier(lambda,.6188140,.4198937,3.426299,2.759866E-3,1.061251E-2,1.068123E3); // no = sellmeier(lambda,.567588800,.471091400,3.84847230,.00252642999,.0100783328,1200.55597); ne = no; else no = 1; ne = 1; end; endfunction; // Indice extraordinaire effectif pour un angle theta donné function result = neTheta(cristal, theta, lambda) [no, ne] = indice(cristal, lambda); result = (sqr(cos(theta)./no)+sqr(sin(theta)./ne)).^(-.5); endfunction; // Indice de groupe de quelques matériaux courants function result = indiceGroupe(cristal,lambda) lambda2 = sqr(lambda); select cristal case 'SiO2' then // http://cvilaser.com/Common/PDFs/Dispersion_Equations.pdf result = sellmeierGroupe(lambda,.6961663,.4079426,.8974794,4.67914826E-3,1.35120631E-2,9.79340025E1); case 'SF10' then result = sellmeierGroupe(lambda,1.61625977,0.259229334,1.07762317,0.0127534559,0.0581983954,116.60768); case 'BK7' then result = sellmeierGroupe(lambda,1.03961212,0.231792344,1.01046945,0.00600069867,0.0200179144,103.560653); case 'CaF2' then // http://www.us.schott.com/lithotec/english/download/caf2_june_2006_final_us.pdf result = sellmeierGroupe(lambda,.6188140,.4198937,3.426299,2.759866E-3,1.061251E-2,1.068123E3); // no = sellmeier(lambda,.567588800,.471091400,3.84847230,.00252642999,.0100783328,1200.55597); else result = 1; end; endfunction; // Initialisation des paramètres par défaut des représentations graphiques hda = gda(); // Handle du repère par défaut (default axes) hda.font_size = 5; // Augmente la taille de police des axes hda.title.font_size = 5; // Augmente la taille du titre hda.x_label.font_size = 5; // Axe des x hda.y_label.font_size = 5; // Axe des y // Pour projection ou figure article, utiliser paramètres ci-dessous hda.font_size = 5; // Augmente la taille de police des axes hda.thickness = 2; // Epaisseur par défaut des lignes
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clc; clear; Mva=3.75; V=10; p=5; S=144; C=5; S1=12; x1=1; x2=2; thetaa1=0.116; m=3; r=(p*%pi)/S; disp(r,'The slot angle is:') g1=S/(p*m); disp(g1,'The fractional value of slot per pole per phase is:') Sab=g1*((3*x1)+2); disp(Sab,'The spacing between the starts of Aand B is:') Sac=g1*((3*x2)+4); disp(Sac,'The spacing between the starts of A and C is:') theta1=60*(1/2); theta2=2*(1/2)*(1/2); theta3=30*(1/2); Kdn=(sin(theta1))/(24*sin(theta2)); Ken=cos(theta3); Kwn=Kdn*Ken; n=0:1:7; disp(Kwn,'Kwn=') Eph1=4.44*0.925*50*240*thetaa1; Eph5=(5750*(0.049/0.925)*(11.2*100.6))/10000; Eph7=(5750*(0.035/0.925)*(2.8*100.6))/10000; disp(Eph7,Eph5,Eph1,'The emfs are:')
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clear; clc; // Illustration 8.5 // Page: 487 printf('Illustration 8.5 - Page: 487\n\n'); // Solution //*****Data*****// T_w = 320; // [K] T_g = 340; // [K] lambda_w = 2413; // [Latent Heat of Vaporization at 320K, kJ/kg] Y_w1 = 0.073; // [kg water/kg dry air] //*****// A = 0.95; // [For air water system,A, kJ/kg.K] // here A = hg/ky, psychrometric ratio // Air-water mixture is saturated at 320K and 1 atm // Using equation 8.15 Y_w2 = Y_w1 - ((T_g-T_w)*A/lambda_w); // [kg water/kg dry air] printf("Absolute humidity of air-water mixture at 340 K and 1 atm is %f kg water/kg dry air\n ",Y_w2);
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backend = Backend.x86 backend.ralloc = backend.ralloc or Ralloc.color -- compare results with files in x86 Test.asmdir = Test.asmdir or "x86" Test.color = nil -- don't bother trying graph coloring on these... Ld.rtend = "" --- don't need the run-time system -- source files live in src directory Test.source = "src" Test.files = { "availexprs.c--" , "eqasolve-000.c--" , "exp-002.c--" , "exp-003.c--" , "err-001.c--" , "err-000.c--" , "err-002.c--" , "infloop.c--" , "nums.c--" } function norun(file) return { source = file, runnable="false" } end i = 1 while Test.files[i] do Test.files[i] = norun(Test.files[i]) i = i + 1 end print('# these tests pass if they assemble successfully (diffs in .s only)') Test.different_asm_ok = 1
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clc pathname=get_absolute_file_path('6_1_1.sce') filename=pathname+filesep()+'611.sci' exec(filename) printf(" All the values in the textbook are Approximated hence the values in this code differ from those of Textbook") disp("let deltaHv/R = S") S= - (T1*T2* log(P2/P1))/(T1-T2) deltahv=S*R printf(" \n Latent Heat of Vaporization=%d",deltahv) B=log(P1) + S/T1 printf("\n B=%f",B) P=exp(-S/T + B) printf("\n P* at %f K = %f",T,P)
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tic() t=100; for k=1:1:t w = 1.6; tolerancia = 0.00001; iterMax = 500; a = [ [4, -2, 1, 3, 0], [-1, 10, 0, 8, 1], [-1, 1, 15, 2, 4], [0, 1, 10, 5, 1], [2, -3, 1, 2, 20] ]; b = [15, 56, 74, 57, 107]; n = 5; for i=1:1:n r = 1/a(i,i); for j=1:1:n if(i ~= j) a(i,j) = a(i,j) * r; end end b(i)= b(i) * r; xx(i) = b(i); end iter =0; normaRel = 1000; while (normaRel > tolerancia && iter < iterMax) iter= iter +1; for i=1:1:n soma = 0; for j=1:1:n if(i ~=j) soma = soma + a(i,j) * xx(j); end end v(i) = xx(i); xx(i) = w * (b(i)- soma) + (1 - w) * xx(i); end normaNum = 0; normaDen = 0; for i=1:1:n t = abs(xx(i)- v(i)); if (t < normaNum) normaNum = t; end if (abs(xx(i))> normaDen) normaDen = abs(xx(i)); end end normaRel = normaNum / normaDen; end if(normaRel <=tolerancia) printf('\nCondErro = 0'); else printf('\nCondErro = 1'); end end t = toc(); disp(t);
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FOSSEE/Scilab-TBC-Uploads
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//To find velocities, angular velocities and position clc //Given: NBO=180 //rpm OB=0.5,PB=2,dO=50/1000,dB=60/1000,dC=30/1000 //m //Solution: //Refer Fig. 7.8 //Calculating the angular velocity of the crank BO omegaBO=2*%pi*NBO/60 //rad/s //Calculating the linear velocity of B with respect to O vBO=omegaBO*OB //m/s vB=vBO //By measurement from the velocity diagram, Fig. 7.8(b), vP=8.15,vPB=6.8,vE=8.5,bg=5,bp=vPB,vG=8 //m/s //Calculating the angular velocity of the connecting rod PB omegaPB=vPB/PB //rad/s //Calculating the velocity of rubbing at the pin of crank-shaft vCS=dO/2*omegaBO //Velocity of rubbing at the pin of crank-shaft, m/s //Calculating the velocity of rubbing at the pin of crank vC=dB/2*(omegaBO+omegaPB) //Velocity of rubbing at the pin of crank, m/s //Calculating the velocity of rubbing at the pin of cross-head vPCH=dC/2*omegaPB //Velocity of rubbing at the pin of cross-head, m/s //Calculating the position of point G on the connecting rod BG=bg/bp*PB //m //Results: printf("\n\n The velocity of piston P, vP = %.2f m/s.\n",vP) printf(" The angular velocity of connecting rod, omegaPB = %.1f rad/s, anticlockwise.\n",omegaPB) printf(" The velocity of point E on the connecting rod, vE = %.1f m/s.\n",vE) printf(" The velocity of rubbing at the pin of crank-shaft is %.2f m/s.\n",vCS) printf(" The velocity of rubbing at the pin of crank is %.4f m/s.\n",vC) printf(" The velocity of rubbing at the pin of cross-head is %.3f m/s.\n",vPCH) printf(" The position of point G on the connecting rod, BG = %.2f m.\n",BG) printf(" The linear velocity of point G, vG = %d m/s.\n\n",vG)
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minimo cuadrado.sce
clc; x=[-1,2,-1,5,6]; y=[3,1,4,2,3]; px=1; //////////////////// xy=0; tx=0; ty=0; x2=0; n=length(x); for(i=1:n) xy =xy+(x(i)*y(i)); tx=tx+(x(i)); ty=ty+(y(i)); x2=x2+(x(i)^2); // printf("%.5f",x(i)); end a=((n*xy)-(tx*ty))/((n*x2)-(tx*tx)); b=((ty*x2)-(tx*xy))/((n*x2)-(tx*tx)); printf("%.5f\n",a); printf("%.5f\n",b); f=(a*px)+b printf("%.5f\n",f); /* printf("%.5f\n",xy); printf("%.5f\n",tx); printf("%.5f\n",ty); printf("%.5f\n",x2); printf("%.5f\n",n); */
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10Ex14.sce
//chapter 10 Ex 14 clc; clear; close; probTotal=75; arith=10; algebra=30; geo=35; per_arith=70/100; per_algebra=40/100; per_geo=60/100; correct=(per_arith*arith+per_algebra*algebra+per_geo*geo); correctPass=(60/100)*probTotal; required=correctPass-correct; mprintf("The number of questions required were %d",required);
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Ex7_7.sce
//Chapter 7: Loop, Slot and Horn Antennas //Example 7-17.3 clc; //Variable Initialization Zd = 710 //Terminal impedance of cylindrical dipole Z0 = 376.7 //Intrinsic impedance of free space (ohm) //Calculation Z1 = Z0**2/(4*Zd) //Terminal resistance of complementary slot (ohm) //Result mprintf("The terminal resistance of the complementary slot is %.0f ohm",Z1)
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//to find confidence interval for given confidence levels clc; cl=[.5 .9 .95 .99]; s=.22; d=[.7 1.83 2.26 3.25]; function [a]=ci(b) a=s*b; endfunction CI(1)=ci(d(1)); CI(2)=ci(d(2)); CI(3)=ci(d(3)); CI(4)=ci(d(4)); disp(CI,'confidence interval');