text stringlengths 8 6.12M |
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function isValid=isValidPath(start,goal,data)
isValid=true;
start1=start;
goal1=goal;
[x,y]=bresenham(start1(1),start1(2),goal1(1),goal1(2));
X=[x';y'];
for i=1:length(x)
if(checkLimitViolation_carBot(data, X(:,i)) || checkCollision_carBot(data, X(:,i)))
isValid = false;
return;
end
... |
function BB = getBurstStatsXConds(BB,syncflag)
% This function gets statistics of burst samples for each condition
for cond = 1:size(BB.segAmp,2)
BB.condstat.ssAmp(:,cond) = [nanmedian(BB.segAmp{cond}) iqr(BB.segAmp{cond}) npCI(BB.segAmp{cond})];
BB.condstat.ssDur(:,cond) = [nanmedian(BB.segDur{cond}) iqr(BB.se... |
n=8;
x=rand(n);
p=poly(x);
disp(Pol2Txt(p));
disp(polyvalm(p,x)==x); |
function [match mindist] = match_bruteForce(q, p)
m = size(p,2);
n = size(q,2);
match = zeros(1,m);
mindist = zeros(1,m);
for ki=1:m
d=zeros(1,n);
for ti=1:3
d=d+(q(ti,:)-p(ti,ki)).^2;
end
[mindist(ki),match(ki)]=min(d);
end
m... |
function [ F ] = corrupt( F, epsilon )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
F = F + normrnd(0, epsilon, size(F));
end |
function [D]=sml_trial(MOV,D,fig,varargin)
sample = 5;
forceThres = 0.25;
minDist = 100/sample;
% ------------------------------------------------
% extract data
if (isempty(MOV))
return;
end;
fingernames = {'Thumb','Index','Middle','Ring','Pinky'};
handnames = {'LH','RH'};
state = MOV(:,1);
... |
classdef TrialSync < WBTrial
properties
block = 0;
end
methods
function start(this)
this.block = this.flow.variable(['BlockNum']);
%doFMRI = this.flow.variable('forFMRI');
this.design.loadScene('SYNC SCREEN');
this.design.startAllTasks();
... |
function SR = ComputeSelfRemblance_global(varargin)
% Compute Self-Resemblance
% [RETURNS]
% SR : Saliency Map
%
% [PARAMETERS]
% img : Input image
% LARK : A collection of LARK descriptors
% param : parameters
% [HISTORY]
% Nov 23, 2011 : created by Hae Jong
img = varargin{1};
LARK = varargin{2};
param = vara... |
function [Psignal] = CrePreSig(U,y)
%It creates a matrix(using lpc) who's
%columns contain the predicted signal
%for every window.
%Input:
%U = StimuladedMatrix
%y = WindowedSignalMatrix
%Output:
%Psignal = PredictedSignalMatrix
%Usage:
%pSignal = CrePreSig(u,Y);
Psignal = zeros(480,570);
for i = 1:570
... |
function [decision] = calulate_class(theta1, theta2, theta3, x)
% theta : Parameters
% x : Input vector
% decision: Class 1,2 or 3
% C : Covariance
% M : Mean
C1 = theta1(:,2:end);
M1 = theta1(:,1);
C2 = theta2(:,2:end);
M2 = theta2(:,1);
... |
result = checkpositive([4 1 1; -1 0 0; 0 0 0; .1 .2 .1]);
result |
%
% Batch Effect Removing
% Gene Standardization
%
% Input:
% idata -- The expression matrix, (samples are in columns)
% ilabel -- the batch labels,column vector, start from 1, continues.
%
function [data] = GeneStandardization(idata,ilabel)
size_label = size(ilabel);
size_data = size(idata);
if size_label ~= siz... |
function IS=simpson(fun,a,b)
%funkcija simpson računa približek IS integrala funkcije fun na intervalu
%[a,b] po simpsonovem pravilu na točkah a, (a+b)/2 in b.
h=(b-a)/2; %korak pri simpsonovem pravilu
IS=h/3*(fun(a)+4*fun(a+h)+fun(b));
end |
clear
%%
RF=1; %Average Force
L=1; %Distance
F1 = 23; % Initial Force
row = 9;column = 9;% For square
Thruster_Number = row * column;
data = 0; % dynamic transfer number for line segment
Fig = 3;
[Array] = Draw_Thruster(row,column,Fig); % Initial Thruster Array Figure
Fig = 2;
[Array] = Draw_Thruster(row,column,Fig)... |
function [R,nPoints] = resistance(IData,VData)
minPoints = 4;
if length(IData) ~= length(VData)
fprintf(2,'Inputs must be the same length.');
return;
end
N = length(VData);
[minP,S] = polyfit(IData(N-minPoints:N),VData(N-minPoints:N),1);
minS = S.normr;
nPoints = minPoints;
%Try to achieve better fit with additi... |
%% measure correlation between slowphoto handedness and arena circling handedness
[photodat,labelNames]=extractField_multiFile({'handedness';'Light';...
'labels_table'},'Keyword','Slow Phototaxis');
%%
[arenadat,labelNames]=extractField_multiFile({'handedness';'Speed';...
'labels_table'},'Keyword','Arena Circl... |
% This is a code of FFNN
x = load('lienard_intermittency.dat');
data = [x(:,2)]';
inputData = (data(1:end-1));
targetData = (data(2:end));
trlen = 45000; tslen = 5000-1;
trX = inputData(1:trlen);
tsX = inputData(trlen+1:trlen+tslen);
% Remove initial points from target!
trY = targetData(1:trlen);
tsY = targetDat... |
function k_corr_m = f_epi_phase_corr_phc(k_m,phc_data,DATAFLAGparams, ...
DWIparams,ind_sl,ind_ec,ind_coil,ind_avg,ind_dw)
%[f_epi_phase_corr_phc] does EPI echo phase correction using PHC data.
%
% USAGE
% k_corr_m = f_epi_phase_corr_phc(k_m,phc_data,DATAFLAGparams, ...
% DWIparams,ind_sl,ind_ec,ind_c... |
function [pValue] = mcn(x,varargin)
p = inputParser;
addRequired(p,'x',@(x) validateattributes(x,{'numeric'},{'real','finite','integer','nonnegative','nonnan','size',[2 2]}));
addOptional(p,'alpha',0.05, @(x) validateattributes(x,{'numeric'},{'scalar','real','finite','nonnan','>',0,'<',1}));
parse(p,x,varargin{:});
x=p... |
%{
mice.Requests (manual) # requests for transgenic mice$
request_idx : int # request number
---
requestor="none" : enum('Jake','Manolis','Dimitri','Shan','Keith','Cathryn','Fabian','Deumani','Matt','Megan','Paul','Shuang','Federico','Jiakun','Other','Available','none') # person wh... |
% input - input data.
% target - target data.
load input.csv %loading input.csv data into work space with name as 'input'
%checking for NaN values in loaded data and replacing it with mean value of
%that column with help of function interpl. These can be treated as data
%pre-processing steps.
xdata2=(1:size(input,1... |
function y = mul_t(a,b)
%saida em dec
%multiplica pela tabela E_table e L_table
%a em decimal
%b o valor decimal
%ja transforma o b em hexa
E_table = ['0103050F113355FF1A2E7296A1F81335';
'5FE13848D87395A4F702060A1E2266AA';
'E5345CE43759EB266ABED97090ABE631';
'53F5040C143C44CC4FD168B8D36EB2CD';
'4CD467A9E03B4DD762... |
% calculate network peroperties and save them
clear all; close all; clc;
addpath('D:\work\eeg\Final\last15s\2019_03_03_BCT');
addpath('D:\software\eeglab14_1_2b');
%% average all trials for cooperation and copition: undirected weighted network
% replace cop with cop;
load('data/useful/conn/conn_phase_pli','conn_phase... |
function [ ts, Sflag ] = dbDayTicks(conn, secID, req_date, levels, type)
%% 该函数至少有两个参数
% secID 为证券代码 '600000.SZ'或者 'IF1312.CFE' 前六个代码不能错
% type为证券类型'stock'表示股票 或者 'future'表示期货
% levels 为行情的档数, 如股票一般为5档行情
% req_date行情的日期
%HeQun 2013.12.23
% 程刚，20131223；添加注释。
% 数据灌入有大缺陷：当前IF只有level1，故只灌入一档
%% 预处理
if nargin <3
e... |
function [r, s] = signing(hm, k, q, p, g, x)
%% menghitung k-1 (invers modulo)
[G, C, ~] = gcd(k,q);
if G==1 % The inverse of a(mod b) exists only if gcd(a,b)=1
InvK = mod(C,q);
else disp('Modular multiplicative inverse does not exist for these values')
end
%% menghitung r
r = mod... |
img = imread('pout.tif');
%J = imadjust(f,[low_in high_in],[low_out high_out], gamma)
J1 = imadjust(img,[],[],3);
J2 = imadjust(img,[],[],0.4);
J3 = imadjust(img,[],[],1);
imshow(J1);
|
classdef splitsampling < handle
%% Class for sub-sampling methods
properties
% Type of creating the split sample boundaries
type
% Number of split samples
S
% Number of choice values
M
% Lower bound for class boundaries
a_l
% Upper boun... |
function string = GetEchoStringDisplay(windowPtr, msg, x, y, textColor, bgColor)
% string = GetEchoStringDisplay(window, msg, x, y, [textColor], [bgColor])
%
% Get a string typed at the keyboard. Entry is terminated by
% <return> or <enter>.
%
% Typed characters are displayed in the window. The delete
% character is h... |
% [O, X] = facade_sp(1, 0.3);
figure
subplot(6,3,1); ddisp(best.brtf.psnr.L); title('BRTF');
subplot(6,3,2); ddisp(best.ten_rpca.psnr.L); title('RPCA');
subplot(6,3,3); ddisp(best.ten_brpca.psnr.L); title('BRPCA');
subplot(6,3,4); ddisp(best.ten_orpca.psnr.L); title('HORSVD');
subplot(6,3,5); ddisp(best.ten_rcpd.psnr.... |
% matrix exponent of a 2nx2 matrix
function c=f_exp(s)
[s1,s2]=size(s);
if (s2~=2)
error('f_exp: looks like your matrix has a wong size!');
end
n=round(s1/2);
idxa=1:n;
idxb=n+1:2*n;
c=zeros(2*n,2);
for i=1:n
ma=... |
function res=day_diff(month1,day1,month2,day2)
days = [31,28,31,30,31,30,31,31,30,31,30,31];
if ~isscalar(month1) || ~isscalar(month2) || (month1 ~= floor(month1)) || (month2 ~= floor(month2))
res = -1;
return
end
if (month1 <= 0) || (month1>12) || (month2 <=0) || (month2 >12 )
res = -1;
... |
function scans_to_process = LONG_DARTELregistration_to_existing( scans_to_process, templatepath)
%LONG_run_LONG_DARTELregistration_to_existing - SPM12 DARTEL registration
%to existing template based
%
% Syntax: scans_to_process = LONG_DARTELregistration_to_existing( scans_to_process, templatepath)
%
% Inpu... |
function result=PCAFilter(csidata,pcstream)
ResultforPCA=csidata';
[coeff,score,latent]=princomp(ResultforPCA);
len2=length(score);
score2=zeros(len2,30);
score2(:,pcstream:30)=score(:,pcstream:30);
PCAResult=(score2*coeff)';
result=PCAResult;
end |
% DESCRIPTION: EVSI estimation for experimental approach to monitoring
% DATE: 28/10/2014
clear
% LOAD INPUT DATA
load_data
% DEFINE GLOBAL VARIABLES
global s t B c1 c2 q pr_prob Start_m1 sp_monit manage
s = 3;
t = 2;
B = 0:10:100;
c1 = (real_c1/(real_c1+real_c2))*100; % Standardising costs
c2 = (real_c2/(real_c1+... |
filename='monkey.jpg';
grayIm=rgb2gray(im2double(imread(filename)));
display('- Image blurring...');
blur = blurInImageSpace(grayIm,7);
|
function genomMut = mutateGenomIdx(genom, genomIdx, values)
%
% Part of a *FAILED* approch to segmentation optimization by genetic
% optimization.
%
% Writen by Markus Mayer, Pattern Recognition Lab, University of
% Erlangen-Nuremberg, markus.mayer@informatik.uni-erlangen.de
% Initial version some time in 2012.
geno... |
function ha = shBox(box, varargin)
% Plot box in 2-D.
%
% Input
% box - box, 2 x 2
% varargin
% show option
% lnWid - line width, {1}
%
% Output
% ha
% haBox - handle
%
% History
% create - Feng Zhou (zhfe99@gmail.com), 07-10-2012
% modify - Feng Zhou (zhfe99@gmail.com), 07-10-2012... |
function writeMetaImage_mhd(filenameMhd, meta)
% writeMetaImage_mhd(filenameMhd, meta) is a helper function and
% writes the MHD header file using the given file name and meta
% information.
%
% Instead of using this function, better use writeMetaImage for
% writing your files.
%
% Andreas Keil, keila@in.tum.de, 2... |
function orbits = get_repeat_tracks()
RE = 6378140;
MU = 3.986004418e14;
PE = 86400;
PRECISION = 60/6000;
h = 1000*(400:25:1225);
P = 2*pi./sqrt(MU./((RE+h).^3));
revs = PE./P;%e.g. 14.325
drevs = revs - floor(revs);%e.g. 0.325
% drevs = round(drevs*PRECISION)./PRECISION;
orbits = zeros(length(drevs),3);
ndays = 1:200... |
function [ Q q Qn qn ] = util_calc_synchrony( spif, chlist, varargin )
%UTIL_CALC_SYNCHRONY Measure the synchrony between selected channels
% Input:
% spif: Spike information structure
% chlist: 'all' - All channels
% [11 22 ... 88] - Selected channels, must >=... |
function result=turbo_lsq03( est , tr_vec, consts, data )
% function result=turbo_lsq03( est , tr_vec, consts, data )
%
% this version uses a gamma function uses Greg's analytical solution...
%
%
Ttrans=est(1);
f=est(2) ;
R1art=consts(1);
R1t=consts(2);
alpha = consts(3);
del = consts(4);
M0 = consts(5);
T1a = 1/R1a... |
classdef FishImage
% FishImage
% This class is a simple wrapper that contains information for a fish
% species and should be used in conjunctionwith fishData.mat.
properties
species;
image;
end
methods
function obj = FishImage(species, image)
%... |
function text3d()
addpath textures
[z r p a b ps] = textread('text3d.dat', '%f %f %f %f %f %f',...
'commentstyle', 'shell');
a=reshape(a, 50,51,50); % ph, r, z
b=reshape(b, 50,51,50);
a = permute(a, [2 1 3]); % -> r,ph,z
b = permute(b, [2 1 3]);
% figure(); clf; hold on;
% plot(1:... |
function result = L(r, d, phi)
if abs(phi) < pi/2
eps = 1;
elseif abs(phi) > pi/2
eps = -1;
else
printf("Phi equals pi/2!\n");
end
squared_diff = r*r - d*d;
result = (squared_diff*tan(phi))/(eps*(sqrt(r*r + squared_diff*tan(phi)*tan(phi)))+r);
end
|
function psnr = PSNR_CAL(im,im_11)
PSNR = sum(sum(sum((double(im)-double(im_11)).*(double(im)-double(im_11)))));
PSNR = PSNR /(numel(im));
psnr = 20 * log10(255/ sqrt(PSNR));
end |
function [S_DSM,E_DSM,single_scores,single_costs,single_subobjective_scores,pair_scores,pair_costs,pairs_subobjective_scores] = RBES_update_DSMs()
global params
N = length(params.instrument_list);% num of instruments
RBES_set_parameter('WATCH_ONLY','no');
if strcmp('CASE_STUDY','IRIDIUM')
orbit = get_Iridium_orbit(... |
%% Test event localization
% by Hideki Kawahara
% 25/Jan./2020
%matName = 'fvn44k20200123T224712.mat';
matName = 'fvn44k20200125T053950.mat';
tmp = load(matName);
hh = tmp.output.averagedResponseWaveform;
fs = tmp.output.samplingFrequency;
hl = length(hh);
fc1 = 10000;
n1 = round(fs * 0.001);
w1e = hanning(2 * n1 + ... |
%{
tune.DotRFMethod (lookup) # options for dot maping.
rf_method : tinyint # method number
---
onset_delay : float # response onset delay in msec
response_duration : float # response window in msec
rf_filter : float ... |
clc
clear all
close all
Im1 = imread('boat1.pgm');
Im2 = imread('boat2.pgm');
[imy,imx] = size(Im2);
[matches, scores, fa, fb] = keypoint_matching(Im1,Im2);
N = 10;
K = 10;
[M, T, inliners] = RANSAC(fa,fb,matches,N,K);
xgrid = meshgrid(1:imx, 1:imy);
ygrid = meshgrid(1:imy, 1:imx)';
rotx = M(1,1).*xgrid + M(1,2).*y... |
function [mpc, weak_result, med_result, strong_result] = case9_histograms()
mpc = 'case9.m';
subset = 1:9;
%%
clear m;
m.mpc = mpc;
m.subset = subset;
m.gamma_max = 2.5;
m.K = 3;
m.Lnorm = 1;
m.obj_type = 'angle';
m.opf_obj_mult = 0;
%%
%fw_attack_20150211(m);
%%
mpc = loadcase3(m.mpc);
n = length(m.subset);
o = one... |
train_data = importdata('trainingData.txt',' ');
classes = train_data(:, 1);
features = train_data(:, 2:6);
prob_class_one = sum(classes)/size(classes,1);
prob_class_zero = (size(classes,1) -sum(classes))/size(classes,1);
prob_A1 = [0 0; 0 0];
prob_A1(1,1) = conditional_prob(0, 0, 1);%p(A1=0 | 0)
prob_A1... |
function [PC_back,intmem_back,idatax_back,cycle_back]=DecUnd(PC,cycle,intmem,idatax,i)
intmem_back=intmem;
idatax_back=idatax;
%load PSW
PSW=loadPSW(intmem(209,1));
if (PSW(4,1)==0 && PSW(5,1)==0)
rn=intmem(i,1);
elseif (PSW(4,1)==0 && PSW(5,1)==1)
rn=intmem(i+8,1);
else... |
clear
% xMax is the maximum normalized speed used in each plane of the figure.
xMax = 3;
% N is the number of grid points used in each plane of the figure.
N = 300;
% A good value is 30-100 for testing things out, but you might want to go
% up to 300 for a "production" figure. This script starts to take a long
% time... |
% Run time of Program is 53.07 sec on windows 10 system with i5 processor
clc
close all
tic;
Input_Image = phantom(256);
[out0, out1a, out1b, out2a, out2b, out3a, out3b] = Question2_a(Input_Image);
close all
[S0, S1, S5, R0, R1, R5, rrmse_array ] = Question2_b(Input_Image);
close all
[rrmse0,rrmse1,rrmse5] = ... |
function [ fM, fP ] = matEvaluateSurfValue( obj, fphys )
%MATEVALUATESURFVALUE Summary of this function goes here
% Detailed explanation goes here
m = obj.FToM;
[ fM, fP ] = mxEvaluateSurfValue( obj.FToE, obj.FToN1, obj.FToN2, fphys{m} );
end
|
pwd
ls;
contents = ls
whos contents
parent = 'D:\Backup\git\Coursera\MatLab-Intro\hw8\'
%cd(parent)
%cd('..') %parent
save podaci
%clear
|
%%%%%I mudy open the reading.txt file with read only permissions
clear
fileID = fopen('readings.txt','r');
%%%%%Fscan the file into the variables
formatSpecString = '%s';
%formatSpec = '%d %d %d %d %d %d %s %f';
formatSpec = '%d %s %s %s %s %s %s %f';
%formatSpec = '%d';
%sizeB = [8 Inf];
%B = fscanf(fileID,formatS... |
clc;
clear;
trainData = importdata('./data_EM/train.dat');
attrOrder = cell2mat(trainData.textdata);
trainData = trainData.data;
m = size(trainData,1);
testData = importdata('./data_EM/test.dat');
testData = testData.data;
% defined for holding number of parents for each boolean variable
numParents = co... |
%%% Post-processing Code for Qucs
%%% Eindhoven Unversity of Technology
%%% Authors: Prof. Dr. Peter Baltus
%%% Dr. Carlos Mendes Jr.
%%% Circuit: LPF
%%% SYSTEM STARTUP %%%
% Initialize
clear all; close all; clc;
% Add path for Qucs handling functions (Use / instead of \)
%addpath ("C:/Program Files (x... |
function d = fhpkg_sparsify(d)
% D = fhpkg_sparsify(D) converts a dictionary of "dense" features to "sparse"
% features as described in Section 2.3 of [Mutch & Lowe 2006].
%
% See also: fhpkg_sample.
%*********************************************************************************************************************... |
function [ remaining, plane ] = backgroundsub( depth_cloud )
% figure(1)
% plot3(depth_cloud(:,4),depth_cloud(:,5),depth_cloud(:,6),'k.')
% pause
[L,~] = size(depth_cloud);
while L > 100000
[L,~] = size(depth_cloud);
[oldlist, plane] = select_patch(depth_cloud);
% plot3(oldlist(:,1),oldlist(:,2),oldlist(:,... |
function [p,t]=an_interp_nak(g,x,y)
% Interpolante spline cubica (not-a-knot) di (n+1)
% (n>=3) punti (x,y) risolvendo il sistema lineare;
% function [p,t]=an_interp_nak(g,x,y)
% g --> grado della spline di interpolazione
% x --> vettore delle ascisse
% y --> vettore delle ordinate
% p <-- vettore dei coefficienti det... |
function properties=evaluateMouselabMDP(T,R,s0,horizon,myopic_first_move,...
optimal_planning_horizon)
if not(exist('optimal_planning_horizon','var'))
optimal_planning_horizon=horizon;
end
nr_locations=size(T,1);
nr_actions=size(T,3);
R_hat=-10^4*ones(nr_locations,nr_locations,nr_actions); %impossible actions... |
clc;
clear all;
close all;
a=imread('SpecifyGammaWhenAdjustingContrastExample_01.jpg');
a=rgb2gray(a);
figure;
imshow(a);
a=double(a);
[x y]=size(a);
c=input('Enter value of c:');
gam=input('Enter value of gamma:');
max=a(1,1);
for i=1:1:x
for j=1:1:y
a(i,j)=c*(a(i,j))^gam;
if(max<a(i,j))
max=a(i,j);
end
end
end
... |
function [J, grad] = linearRegCostFunction(X, y, theta, lambda)
%LINEARREGCOSTFUNCTION Compute cost and gradient for regularized linear
%regression with multiple variables
% [J, grad] = LINEARREGCOSTFUNCTION(X, y, theta, lambda) computes the
% cost of using theta as the parameter for linear regression to fit the
% ... |
function G = inertia(robj, q)
% Syntax
%
% G = inertia(robj, q)
%
% Description
%
% Returns the manipulator gravity vector.
toMex = createStructForMex(robj);
G = mex_gravity(toMex, q); |
function [ xCoord,yCoord,width,height,image] = faceDetectionArea(image)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
%face recognation
faceDetector = vision.CascadeObjectDetector; %Create a detector object.
I = image;%Read input image.
bboxes = step(faceDetector, I);%Detect faces... |
function [V] = CliquePotentialsLL(linelist, labels, Cliques, mrf)
V = zeros(size(Cliques));
for c=1:size(Cliques,1)
if(mrf.sorm == 1)
V(c) = SormCliquePotential(linelist, labels, Cliques{c}, mrf);
else
V(c) = CliquePotential(linelist, labels, Cliques{c}, mrf);... |
% He Feng
% EE 440 HW 1 Problem 3
close all;
clear all;
% Read the photo and its associate colormap.
[X,map] = imread('1_2.tif','tif');
% Show the original photo X.
figure(1)
imshow(X,map);
% Transfer the photo X into gray scale.
Y = ind2gray(X,map);
figure(2)
imshow(Y);
% To make sure the type of image.
% Y is a 2... |
%% mask visualization
figure(90);
imshow(mask_in_loop.*current_frame);
%imshow(mask_in_loop);
title('Current Mask');
mask_converted1 = mask_converter(mask_in_loop);
mask_converted2=mask_converted1+mask_converted2;
figure(85);
imagesc(mask_converted2);
title('Mask update history');
%% Visualization of grid... |
function [di,dv] = parsedigitalinanalog(stream,n,ht,lt)
%PARSEDIGITALINANALOG Get digital rising and falling edges in a analog stream
% Detailed explanation goes here
di=[];dv=[];cs=stream(1)>ht;
for i=2:n
t=stream(i);
if t > ht && ~cs
cs=true;
di=[di,i];
dv=[dv,cs];
elseif t < lt... |
%LUPivoteo([1 2; -3 4])
function LUPivoteo(A)
%Factorizacion LU con pivoteo parcial
[n, n1] = size(A);
L=eye(n); %Matriz L triangular inferior inicializada como identidad
P=eye(n); %Matriz permutacion P inicializada como identidad
U=A;
for j = 1:n
[pivot m] = max(abs(U(j:n, j)));
m = m+j-1;
if... |
%script testAmplSweepOverlayBands
%sweeps a full band
%updated SRS 15Dec2017
Nread = 2;
dwell = 0.02;
freqs = -10:0.1:10; %frequencies in MHz
resp = zeros(32, size(freqs,2)*Nread);
f = zeros(32, size(freqs,2)*Nread);
band_centers1 = circshift((0:1:15)'-8, 8);
band_centers2 = circshift((0.5:1:15.5)'-8, ... |
% Recover all system properties possible from two subsequent trials of a
% disk in free vibration with different known masses attached to it as
% required by problem Q5 in the rotational section.
function [sys1, sys2] = rot_q5()
% PRIOR KNOWNS:
% Masses of Blocks [kg]:
mb1 = 501.5e-3;
mb2 = 501.0e-3;
... |
%% [x, t, delta] = ReconTV(a, A, lambda, x0, Nit, Ninter, P)
%
% Performs Total Variation penalized reconstruction trying to solve the
% linear system
% Ax = a,
% with A a Hermitian symmetric and positive-definite matrix.
%
% Optionally, an image reprensenting a diagonal matrix P can be used for
... |
function Integral = TrapezoidalRuleQCS(Dx,Phi)
%
% TrapezoidalRuleQCS: Quick trapezoidal rule for constant spacing
%
% Performs trapezoidal rule integration with no input checking (quick).
% Dx must be a scalar value (or a dimension mismtach may arise). Phi is
% expected to be a column vector of two or more elem... |
function mip2(filename)
% Copyright 2019, Gurobi Optimization, LLC
%
% This example reads a MIP model from a file, solves it and prints
% the objective values from all feasible solutions generated while
% solving the MIP. Then it creates the associated fixed model and
% solves that model.
% Read model
fprintf('Readin... |
%世任:期末考不會比作業簡單
clear;clc
for i=[2 3;12 13] %將變數i依序設定成矩陣裡的每一個直行，然後執行敘述主體
i %size(i)是2*1
fprintf('i=%d \n',i)
end
size(i) |
function success = uq_test_perturbation(level)
% PASS = UQ_TEST_PERTURBATION(LEVEL): non-regression test for perturbation
% method on the toy function: x1 + x2 + 0.1*x3 + 0.1*x4
%
% See also: UQ_PERTURBATION_METHOD,UQ_SENSITIVITY
success = 0;
%% Start the framework:
uqlab('-nosplash');
if nargin < 1
level = '... |
function [ Clock_Cycles,Energy,Num_of_memristors ] = organize_result_matrix_penalty(dim1,dim2,dim3,Ron_energy,NOR_energy,Num_of_bits,num_of_matrices )
%bug? revise
vector_size=Num_of_bits+round(log2(dim2)); %log(num+num+....)= log(dim2*num)=Num_of_bits+log(dim2)
Clock_Cycles=vector_size*dim3+dim1*dim3*num_of_matrices+... |
format long
dydt=@(t,y) t-y;
t0=0;
y0=2;
h=[0.4; 0.1; 0.01];
tn=0.4;
yn_exact=1.41096;
n=size(h,1);
fprintf('Método de Runge-Kutta 2 ordem\n');
for i= 1:n % testa para todo valor de h
[yn]=RK2aordem(dydt,t0,y0,h(i),tn); % calcula o valor
fprintf('Com h = %.2f\nO valor de y(%.2f) é %.5f.\n',h(i),tn,yn);
fp... |
function archs = SCAN_assert_random_archs(NRANDOM)
global params
levels = cellfun(@length,params.options,'UniformOutput',false);
values = cellfun(@(x)randi(x,NRANDOM,1),levels,'UniformOutput',false);
archs = cell2mat(values);
for i = 1:NRANDOM
SCAN_assert_arch(archs(i,:),[]);
end
end
|
function dpnOptImg(~,~,fig)
%dpnOptImg - upload an optical image or use one of the ion images...
% Gather the guidata
dpn = guidata(fig.fig);
if isempty(dpn)
return;
end
% Ask the user...
switch dpn.mode
case 'dual'
choice = questdlg('Chose an optical image...',...
'Optical Image',...
... |
function [x, cost, info, options] = arc(problem, x, options)
% Adaptive regularization by cubics (ARC) minimization algorithm for Manopt
%
% function [x, cost, info, options] = arc(problem)
% function [x, cost, info, options] = arc(problem, x0)
% function [x, cost, info, options] = arc(problem, x0, options)
% function ... |
% Input:
% distro a row vector. It is generated by a Dirichlet Process.
% n a scalar. The size of the data set.
% Output:
% data a row vector of length n.
function data = data_generate(distro, n)
if nargin < 1
distro = gem(100, 5);
end
if nargin < 2
n = 500;
end
r = rand(1, n);
d =... |
function varargout = hitungLVBalok(varargin)
% HITUNGLVBALOK MATLAB code for hitungLVBalok.fig
% HITUNGLVBALOK, by itself, creates a new HITUNGLVBALOK or raises the existing
% singleton*.
%
% H = HITUNGLVBALOK returns the handle to a new HITUNGLVBALOK or the handle to
% the existing singleton*.
%
% ... |
function [carved, mask, seams] = carveHorizSeamsMask(img, n, mask)
carved = img;
seams = zeros(n,size(img,2));
for seam=1:n
disp(seam);
horiz = accMinHorizPathMapMask(carved, mask);
h = findHorizSeam(horiz);
carved = horizSeamCarve(carved, h);
mask = horizSeam... |
x = linspace(0,1);
y = exp(-x);
plot(y); |
function pt1 = Cal_pt1(vj_users)
%in function pt1 ra mohasebe mikonad
len=size(vj_users,2);
wji=0;
rr=CreateRandom();
WSum=0;
for i=1:len
wji=CreateRandom();
WSum=WSum+wji;
end
pt1=(WSum/len)+rr;
end
|
clc;clear all;close all;
weight=rand(50,1)*3;
lenght1=rand(50,1)*6;
rabbit=[weight lenght1];
weight=rand(50,1)*4+1.5;
lenght1=rand(50,1)*5+2;
dog=[weight lenght1];
% All the training data
dfeat=[rabbit;dog];
dclass(1:50)=-1; dclass(51:100)=1;
figure, subplot(2,2,1), hold on; axis equal;
plot(rabbit(:,1),rabbit(:,2)... |
function s = createStruct(names,values)
% usually to create a struct you have to interleave the names and values like
% struct('name1',val1,'name2',val2,...) - here you can pass in the names and
% values as two cell arrays. If values is not specified, it just assigns {}.
s = struct;
if(nargin < 2)
... |
function ReadXL_bond(FileName, Sheet1, Range1, Sheet2, Range2, formatData, reference, floatFrequency)
% Read the bond data from the file Excel and filter them, compute the dates
% in which payments occur. Store all the results in 'bond.mat', which
% contains all data about bond in the struct 'bond' and 'payments.... |
% trova il k-albero di costo minimo
function ret = k_albero(A, k, archi_SI)
% trova i due nodi piu` vicini a k, estraendone gli archi
% eventualmente prima da archi_SI
arco1 = trova_vicino(archi_SI,k);
if arco1(1) == Inf
arco1 = trova_vicino(A,k);
end
A = elimina_arc(A, arco1);
... |
%P(k)
f = @(n,k,p) nchoosek(n,k)*p^k*(1-p)^(n-k);
%possibility array
qA = 0:0.01:1;
E = [];
for q = qA
e1=0;
e2=0;
for a = 0:arg.n-1
e1 = e1+f(arg.n-1,a,q).*Eci(a+1,1);
e2 = e2+f(arg.n-1,a,q).*Eci(a+2,2);
end
E = [E;e1,e2];
end |
function [Resultado]=corelacion(b,a)
Numprocesos=length (a);
Resultado=zeros(1,((Numprocesos*2)-1));
for contadoringreso=1:((Numprocesos*2)-1)
for contadordeoperaciones=1:Numprocesos
Resultado(1,contadoringreso)=Resultado(1,contadoringreso)+b(1,Numprocesos+1-contadordeoperaciones)*a(1,contador... |
% readParameters is a script that reads the parameters defined below from
% 'parameters.ini' in the current path and stores them in the workspace
%
% Copyright (c) 2012 by Andreas Keil, Stanford University.
% define parameters
parameterDefs = { ...
'Spectra', '', 'spectrumKeV', ... |
function f = gaussfunc( p, x )
% parameters p (mx3) vector mu,sigma,A
% x is nx1 vector
% f is nx1 vector
%f = ((p(1)/((4*pi*p(2)).^1.5))*exp(-((x-p(3)).^2)/(4*p(2))));
sigma=p(:,2);
amplitude = p(:,3)./(sigma * sqrt(2*pi));
gaussval = arrayfun(@(A,c,s)A*exp(-0.5*((x-c)/s).^2),amplitude,p(:,1),sigma,'UniformOutput',fa... |
function [hp] = CreateHealthProfile(nombre, apellido, genero, fecha_nacimiento, altura, peso)
% HEALTHPROFILE. Crea una estructura para representar el perfil de
% salud.
% Params:
% nombre (String). El nombre de la persona
% apellido (String). El apellido de la persona
% ... |
function [PI, PS] = ZSpecWater2(obj, freq_offsets, w1, sat_time, pH, pK_donor, concentration, pK_acceptor)
% w1 = [w1x, w1y] in rad/s
concentration_ = obj.HendersonHasselbach(pK_donor, pH, concentration);
% exchange rate
[krate] = obj.rateReactionInWater2(pK_donor, pK_acceptor, pH);
[PI, PS] = obj.NumericalSolution(... |
function createORG_AbinitCode(inputFile)
% USPEX Version 9.3.0
% new tags: dimension/varcomp/molecule
% deleted tags: supercomputer name
global ORG_STRUC
getPy=[ORG_STRUC.USPEXPath,'/FunctionFolder/getInput.py'];
%[nothing, abinitioCode] = unix(['./getFromTo abinitioCode ENDabinit ' inputFile]);
%ORG_STRUC.abinitioC... |
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