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function [s_i] = solve_si(i,X) eps = 0.05; x_i=X(:,i); f = ones(1,size(X,2)); f = [f,f]; A = [X;-X]; A = [A,-A]; b = [x_i+eps,eps-x_i]; Aeq = [ones(1,size(X,2))]; s_ii = zeros(1,size(X,2)); s_ii(i) = 1; Aeq = [Aeq;s_ii]; Aeq = [Aeq,-Aeq]; beq = [1,0]; [y,z]=linpr...
function contact = left_toe_contact(robot) % The left toe contact point contact.frame = ToContactFrame(robot.ContactPoints.LeftToeBottom,... 'LineContactWithFriction'); contact.fric_coef.mu = 0.6; contact.fric_coef.gamma = 100; contact.geometry.la = 0.05; contact.geometry.lb = 0.0...
%demonstrate t-distribution % from Parameter Estimation and Inverse Problems, 3rd edition, 2018 % by R. Aster, B. Borchers, C. Thurber clear x=-4:.01:4; figure(1) clf bookfonts for nu=[3 20] plot(x,tpdf(x,nu),'k') hold on end plot(x,normpdf(x,0,1),'k--'); hold off ylabel('f_t(x)') xlabel('x') text(-2.8,0.01,'\...
function [ dx ] = f_rkmk( x ) %F_RKMK global A m r N DC DN E g; u = x(1:3); v = x(4:6); alpha = x(7:8); An = A(N(alpha(1),alpha(2))); T_a = m*r^2*(2/5*eye(3)-An^2); w = T_a\v; du = (eye(3)-1/12*A(u)*(6*eye(3)+A(u)))*w; dalpha = r*(E(alpha(1),alpha(2))\(DC(alpha(1),alpha(2))'*A(w)*N(alpha(1),alpha(2))')); dv...
function [u,v,V]=Get_Velocity(w) rho=w{1}; rhou=w{2}; rhov=w{3}; u=rhou./rho; v=rhov./rho; V=sqrt(u.^2+v.^2); end
%% ROS Initialization % Initialize setenv('ROS_MASTER_URI','http://192.168.91.135:11311') setenv('ROS_HOSTNAME','192.168.91.1') setenv('ROS_IP','192.168.91.1') rosinit
%% % 2018.05.02 % 1.重新筛选心肌梗死的数据,仅从diag描述中筛选 % 2.随机选择相同比例的训练数据和测试数据 %% clc clear path = 'E:\DataBase\180413ecg\data\Classify_f'; outpth = 'E:\DataBase\MI0502_MedianWave'; type = {'前壁心肌梗死','侧壁心肌梗死','前侧壁心肌梗死','前间隔心肌梗死','间壁心肌梗死','下壁心肌梗死','下后壁心肌梗死','急性心肌梗死','正常心电图'}; % for jj = 1:length(type) % MI_path = [path '\' typ...
% Program to add one layer of water to r and/or c side of a Modl that has an odd number of % elements (which causes Fourier transform to shift wave as it is propagated). % If the Modl is already odd in one or more r, c directions, no additional layer added. % May 13, 2019 Copyright D. Christensen [file...
%File of points we would like to create file_points = fopen('point.in','w'); %Print the number of points on the first line fprintf(file_points,'%i\n', size(P,1)); %Print the coordinates of the points row for row. for i = 1:size(P,1) fprintf(file_points,'%f ', P(i,1:end-1)); fprintf(file_points,'%f\n', P(i,en...
function [wavelet]=haarWavelets(frames,n) wavelet=[]; for i=1:size(frames,1) tmp=frames(i,1:n); %wavelet(i,:)=HaarDecomposition(tmp,'max'); wavelet(i,:)=wavedec(tmp,6,'haar'); end for j=1:n % wavelet(:,j)=HaarDecomposition((wavelet(:,j))','max'); wavelet(:,j)=wavedec(wavelet(:,j),5,'haar'); end ...
% load('Feature_Train.mat') % final_feature1 = transpose(F_Train); % % n = size(F_Train,1); % no of training images to consider count =0; Digit_Prior; for k =1:1000 k test_id = k; submatrix = F_Test(test_id,:); likelihood_matrix =[]; likelihood =1; for digit = 0:9 l...
clc; clear; close all; warning off; addpath 'func\' %cloud computing parameters cloudcal_parameter; D = M*N; %search space woa_idx = zeros(1,D); woa_get = inf; %initialize individuals for i=1:Num for j=1:D xwoa(i,j)=randn; end end for t=1:Iters t for i=1:Num %...
function [out1,out2,out3] = checkFileTimes_Best2(recentTimes,pastTimes) % Method to make sure each of the most recent files in the matrix is not a % duplicate % Variable to keep track of the number of times this function has been % called...it will automatically resent back to 0 when reaching 100 persistent fu...
function [ WindowSize ] = Ask_WindowSize( Data_Length ) flag = true; while flag fprintf ('\n\n[Length of the given Input data is %d]', Data_Length) str = sprintf('\nPlease Enter the Moving Window Size [ >= 3 and <= %d]:', Data_Length); WindowS...
%% INFORMATION % Dec 2018; Last revision: 7-Dec-2018 % Dependencies: nctoolbox.github.io/nctoolbox/ % Remember to run the command "setup_nctoolbox". % The user inputs are on lines 13 (choose variable), 19 (choose month), and 21 (choose depth level). %% 1. Load the Data bathydir =...
function [s] = similarity_image(HLGPP_CRe,HLGPP_Re,HLGPP_CIm,HLGPP_Im,HGGPP_CRe,HGGPP_Re,HGGPP_CIm,HGGPP_Im); s1=0; s2=0; s3=0; s4=0; s = 0; for v=1:5 for i =0:63 s1 = s1 + sum(min(HGGPP_CRe(v,i*16+[1:16],:),HGGPP_Re(v,i*16+[1:16],:))); s2 = s2 + sum(min(HGGPP_CIm(v,i*16+[1:16],:),HGGPP_Im(v,i*16+...
% ContinueCompare.m % % Example Category: % Counter % Matlab(2010 or 2010 above) % % Description: % This example demonstrates how to use Continue Compare Counter function. % % Instructions for Running: % 1. Set the 'deviceDescription' for opening the device. % 2. Set the 'channel' as the channel...
function center = get_mask_center(mask) [y, x] = find(mask); center(1) = (min(x)+max(x))/2; center(2) = (min(y)+max(y))/2;
function result = f_mleCook(M,B,grp,txt,verb,pdf,bs) % - maximum likelihood estimation via Cook's constrained corrected classification % % USAGE: result = f_mleCook(M,B,grp,txt,verb,pdf,bs) % % M = mixture data (= UNKNOWN SET) (rows = obs, cols = variables) % B = baseline data (= TRAINING SET) % grp ...
clear, close all n = linspace(0, 0.5, 1024); x = 4 * sin(2*pi*100*n) + randn(size(n)); X = fft(x); X = abs(X); M = zeros(1, 1024); M(44:55) = 1; M(970:980) = 1; Y = X.*M; y = real(ifft(Y)); subplot(4,1,1); plot(n, y, 'r+') ylabel('y') xlabel('t (\times \pi)') title('a graph of the original ampli...
function [gamma] = temporaldamping(f, kperp, kpar, w, m, wch, qh, mh, ... qs, Ns, ms, nus, B0, TOL, INTEGMETHOD) % Compute the temporal damping rate gamma in a hot plasma for the % resonances given in the vector m (m=0 is Landau damping, +-1 is the % cyclotron resonance. % % f = cell ...
%L1 Cubature weights configs = jsondecode(fileread('configs.json')); %'%05.f' input_dir = '/home/lawson/Workspace/AutoDef/models/x-final/training_data/training/'; E = readDMAT([input_dir, 'energy_', num2str(1),'.dmat']); for ii=2:500 E_n = readDMAT([input_dir, 'energy_', num2str(ii),'.dmat']); E = [E E_n]; end ...
function [ dx ] = Plaque_plane_6DDL ( t,x ) variables_plaque; %rotquaternion test ode solution for rotating quaternion % Detailed explanation goes here % x(1,2,3) contains P, Q, R % rotation velocity in radian P, Q, R % x(4,5,6,7) contains q1, q2, q3, q4 % x(1) => P= d(phi)/dt % x(2) => Q= d(theta)/dt % ...
function [image, btable, vs, mat]= read_src(file_name) % % This function returns image (= nifti.data), btable(bvals, bvecs), and vs. % % EXAMPLE % % file_file = 'SE_diffusion_weighted.src.gz'; % [image, btable, vs, mat]= read_src(file_name); % % SO @Vista lab 2014 if ~exist('file_name') file_name = ...
function [ plate ] = PlateIsolation( images, mask ) %If this function receives two arguments, image and mask it tries to %isolate the ROI in the image based on that mask. If it only receive the %image it assumes that the license plate represents the majority of the image and %tries to isolate the ROI based on the numbe...
function [ time ] = outputTime( timestamp ) %This function ouputs just the time portion of the timestamp hours=str2num(datestr(timestamp/86400+datenum(1970,1,1), 'HH')); minutes=str2num(datestr(timestamp/86400+datenum(1970,1,1), 'MM')); seconds=str2num(datestr(timestamp/86400+datenum(1970,1,1), 'ss')); time=minute...
function [y c r] = wanted_char(str,char_list) % [y c r] = wanted_char(str,char_list) % Check the first character, which is not white-space or control character, in the given char_list. % If it is, y = the index of character apperred in the char_list, otherwise y = 0. % Return y, the character (c) and the remainder stri...
function permute_vocalizations(count, data_path) % permute disp('permuting...'); temp_png_file = strcat(data_path, 'temp.png'); temp_png_raw_file = strcat(data_path, 'tempr.png'); temp_csv_file = strcat(data_path, 'temp.csv'); temp_mat_file = strcat(data_path, 'tem...
function obj = parkingSpaceXML(obj,parkingSpace) %parkingSpaceXML Parsing the XML to the corresponding classes and properties % %---------------------------------------------------------------------- % BSD 3-Clause License % % Copyright (c) 2020, Jonas Wurst, Alberto Flores Fernández ...
%scale = 1e0 model_opt = 'logistic_regression'; if strcmp(model_opt,'logistic_regression') sum_time_seq_OGD = [100 200 300 400 500 700 800 900]; sum_f_seq_OGD = [ 0.0312 0.034 0.036 0.038 0.0388 0.04 0.042 0.0426]; sum_time_seq_OMGD = [100 200 300 400 500 700 800 900]; sum_f_seq_OMGD = [0.0062 0...
function kts = mph2kts(mph) %MPH2KTS Convert speed from miles per hour to knots % % kts = MPH2KTS(mph) convert speeds from miles per hour to knots. % % See also MPH2KMPH, MPH2FTPS, MPH2MPS, KTS2MPH. % Jonathan Sullivan % Original: May 2011 % jonathan.sullivan@ll.mit.edu kts = mph*0.868976;
function compute_normals_from_file(filename) profile off;profile on W=2; % filter radius R=imread(filename); R=double(R); % f = 400.0; % focal length of asus kinect f = 525.0; % focal length of asus kinect invf = 1.0/f; % inverse focal length of asus kinect [U,V]=meshgrid((1:size(R,2))-size(R,2)/2,(1:size(R,1))-size(R...
function ders = Der1BasisFun(i,u,p,U) %-------------------------------------------------------------- %function ders = Der1BasisFun(i,u,p,U) % NURBS-Book modified (algorithm A2.3) % evalute nonzero basis functions and first derivative %INPUT: % i : current knotspan % u : evaluation point % p ...
function X = FK(q,robot) T = Tz(robot.links(1,1))*Rz(q(1))*Tx(robot.links(2,1))*Ry(q(2))*Tx(robot.links(3,1))*Ry(q(3))*... Tx(robot.links(4,1))*Rx(q(4))*Tx(robot.links(5,1))*Ry(q(5))*Tx(robot.links(6,1))*Rx(q(6))*Tx(robot.links(7,1)); b = asin(T(1,3)); if abs(b-pi/2) < 1E-3 c = 0; a = acos...
function [J, grad] = costFunctionReg(theta, X, y, lambda) m = length(y); % number of training examples J = 0; grad = zeros(size(theta)); h = sigmoid(X*theta); J = -(1/m) * ((y'*log(h))+(1-y)'*log(1-h))+(lambda/(2*m))*(theta(2:length(theta)))'*theta(2:length(theta)); theta0 = theta; theta0(1)=0; grad = ((1 / m)...
function arranged_pos = arranged_position(base_pos,N,gap,z) % arranged_position(base_pos,N,gap,z) % base_pos を基準にgap 間隔でx-yに整列した初期値を生成 % 高さはzで一定 kpos=ceil(sqrt(N)); cpos=floor(N/kpos); rempos=mod(N,kpos); [xpos,ypos]=meshgrid(1-floor(kpos/2):ceil(kpos/2),1-floor(cpos/2):ceil(cpos/2));...
img = imread('moon.tif'); lap = fspecial('laplacian'); img_lap = imfilter(img, lap); figure('Name', 'Original'); imshow(img); figure('Name', 'Laplacian Blur'); imshow(img_lap, []); figure('Name', 'Sharp'); imshow(img - img_lap);
% comparison of the constanst used in AUTO and chebfun %% Parameters used in AUTO % beam base structure material constants lp = 100.0e-3; Ys = 10.0e10; rhos = 7.165e3; hs = 0.25e-3; b = 20.0e-3; % piezo layer material constants c11E = 66.0e9; rhop = 7.80e3; hp = 0.2e-3; ep33S= 15.93e-9; e31 = -12.54; ...
function K = GetCovariance(X,sigma) [num,~] = size(X); K = zeros(num,num); for i = 1:num for j = i:num K(i,j) = RBF(X(i),X(j),sigma); K(j,i) = K(i,j); end end end
clear clc %*********初始化 M=20; %种群规模 x1=rand(M,1); % 初始化粒子位置 x2=rand(M,1); %x3=rand(M,1); %X=[x1,x2,x3] X=[x1,x2]; c1=2; % c1和c2是学习因子 c2=2; wmax=0.9; % 最大最小惯性权重 wmin=0.4; % 线性减小惯性权重 Tmax=50; % 迭代次数 %v=zeros(M,3); v=zeros(M,2); % 初始化速度 % v1m=0.1; % 速度1约束 % v2m=1;% 速度2约束 %******* 全局最优粒子位置初始化 fmin=1000; for i=1:M f...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Creating Feedback control using ekf. % % - Prabhjeet Singh Arora %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% clc clear % Time dt = 0.1; tf = 60; t = 0:dt:tf; m = length(t); % System m = 1, c = 2 % x_dot = [x_2;2x_1 -3x_2]+ BKx + w_k A = [0 1;-2 2]; B = [0;1];...
function [ label_data,unlabel_data,labels,test_data,tast_labels ] = lilun( trace ) %LILUN 理论数据的生成 %% % trace2=trace; % trace=trace1; sizeM = 2000; label_sample_num = 100; index_label_data_1 = randperm(sizeM,label_sample_num); label_data_1=trace(:,index_label_data_1); index_label_data_2 = 2000+randperm(3000,lab...
%nb = input(' Nombre de types de documents différents '); D =[dir(fullfile('.','*.gif'));dir(fullfile('.','*.png'));dir(fullfile('.','*.jpeg'));dir(fullfile('.','*.jpg'));dir(fullfile('.','*.pdf'))]; chemin = strcat(D(1).folder,'\'); nbImg = size(D,1); arg = ['le dossier contient ',num2str(nbImg),' images']; c...
function writeexp(expfile,datdir,theta,phi,id,int,ledon,sndon) % Save known trial-configurations in exp-file % %WRITEEXP WRITEEXP(FNAME,DATDIR,THETA,PHI,ID,INT,LEDON,SNDON) % % WRITEEXP(FNAME,THETA,PHI,ID,INT,LEDON,SNDON) % % Write exp-file with file-name FNAME. % % % See also GENEXPERIMENT % % Author: Marc...
%Direkte Kinematik clc clear close all %Denavit-Hartenberg Parameter DH = [ [0 128 0 90 ]; %1 [0 0 -612 0 ]; %2 [0 0 -572.3 0 ]; %3 [0 163.941 0 90 ]; %4 [0 115.7 0 -90]; %5 [0 92.2 0 0 ]; %6 ]; DH(:,[1 4]) = deg2rad(DH(:,[1 4])); %Umr...
format compact clc % matrix in matlab we use ; m = [1 2 3; 4 5 6; 5 6 7; 8 9 10]; % matrix 4x3 disp('4x3 matrix: '); disp(m); % max(between size of row and collunm - this function returns the size of the longest dimension of X) fprintf('Length of m: %d\n', length(m)); disp('Array using: '); mm = [1:3; 4:6; 7:9]; % ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Copyright 2014 Analog Devices, Inc. % % Licensed under the Apache License, Version 2.0 (the "License"); % you may not use this file except in compliance with the License. % You may obtain a copy of the License at % % http:/...
clc; clear all; load homoIndep.mat load homoCa.mat c=1.6; g=0.08; cmd = ['-c ',num2str(c),' -g ',num2str(g),' -b ',num2str(1)]; model1=svmtrain(Ca(:,1),Ca(:,101),cmd); [predictions_fIndepSVM,accuracy1,dec_values1]=svmpredict(Indep(:,1),Indep(:,2:101),model1,'-b 1'); [ACC,SN,SP,PPV,NPV,F1,MCC] = roc1(prediction...
% this function take the task of reSeq: % %start,stop = 1xn double %gradStart, gradStop = 1xn double function [Start, Stop]= reSeq2(start,stop,trace, varargin) %default recalc = 0; if nargin == 5 recalc = varargin{1}; end if length(start) <=2 || length(stop) <=2 Start = start; Stop = sto...
% INPUT: % -------- % RGBint: a Nx3 matrix with one RGB value per row, in [0..255] % % OUTPUT: % -------- % xy : a Nx3 matrix, % function [xy] = rgb_2_xy_testV(RGBint) % [srgb] = RGBint_2_sRGB(RGBint); %scale to [0..1] rgb = RGBint/255; %% convert rgb to XYZ % Input RGB is companded, needs first to go to linear RGB ...
clear; load('G:\无源感知研究\数据采集\2019_07_18\实验室(3t3r).mat'); sample_num = size(csi_train,1); for i=1:sample_num amplitude = csi_train{i}; sequenceLengths(i) = size(amplitude,1); end for i=1:sample_num amplitude = csi_train{i,1};%读取序列 amplitude = hampel(amplitude');%hampel滤波 amplitude = wifi_butterworth...
function [Tp] = bilinear(x,y,T,Px,Py) %bilinear: Bilinear of interpolation of T(x,y) to get Tp(Px,Py) %Input: x, y, T, Px, Py -one dimensional xgrid, ygrid and % two dimensional T and target point Px, Py % %Output: Tp- Temperature at Px, Py if (nargin ~= 5) Tp = 'Error wron...
function [B,L,var,fac,E] = FA(X,s) % FA Factor analysis (principal factoring technique) % % The reason to favour this method opposite to maximum likelihood % (Statistics toolbox) is no distributional assumptions. In comparison to % SPSS program, this provides the same results. We expect identical % numerical sol...
function [LP, EP, TP, testIm1, margin] = MultiLeafAlignment(testIm, testMask, template, templateMask, templateTip, Parameters) % INPUT: % - testIm: a binary matrix of the edge map % - testMask: a foreground mask % - template, templateMask, templateTip: are cells containing all template % information, their sizes...
%% ======================================================================== % y2 function (example2) % written by Dongjin Lee (dongjin-lee@uiowa.edu) %% ======================================================================== function [output]=responY2(X,mu) %Multivariate Gaussian score function global cntY2; cntY...
function setloads(filename) allData = importdata(filename); names = allData.textdata; loads = allData.data; for i=1:size(names) set_param(names{i}, 'ActivePower', num2str(loads(i,1))); set_param(names{i}, 'InductivePower', num2str(loads(i,2))); set_param(names{i}, 'CapacitivePower', num2str(loads(i,3))); ...
% Andrew Brown Lab 3 Problem 4 clc clear %Write a script that keeps getting a number from the user. If that number %is positive, print positive; negative, print negative. If it is zero, %print zero and then stop. Demonstrate with any sequence that mixes %positives and negatives before giving it zero. x=input('Num...
function [dev,inputs]=A_build(source) % function dev=A_build(source) % % Define the semiconductor device to be simulated and simulate at % thermal equilibrium @ temperature=REF.T % % source = diktat file name % global CONST A_FID VERBOSE if nargin == 0 error('A_build.m: no diktat file specified'); end a_init; i...
function currentStatus = isReady(arduino, oldStatus) %Checks on the current status of the Arudino. 1 = Ready. 0 = Busy. %Empty out the current buffer and all new text read = 'noByte'; while arduino.BytesAvailable > 0 read = fscanf(arduino, '%s'); end %Do not change the status if no bites were available if s...
clc; addpath('./Shared/'); addpath('./Questions/'); addpath('./dlmtbx/');
% This model is the Connors-Stevens model, similar to Hodgkin-Huxley, but % more like neurons in the cortex, being type-I. % See Dayan and Abbott pp 166-172 then pp.196-198 and p.224. clear dt = 0.000005; tmax=1; iclamp_flag = 1; % if this is 1, run under current clamp conditions vclamp_flag = 0; % otherwise this sho...
function [c_labels, centroids] = myKMeansClustering(data, K) %% Implements a k-means clustering algorithm % % Input: % data: num_features x num_data_points matrix, containing the data features % K: int, parameter for the kNN classifier % Output: % c_labels: 1 x num_data_points vecto...
function CheckSystem(A) % CHECKSYSTEM checks whether system is composed correctly. % format_message = ['\nSystem of inequalities A*x<=b must be defined ',... 'as a structure S, with S.A = A, S.b = b and S.var - a list of variables indexes.\n',... 'For more details please see the package documentation.']; if iss...
function [value,isterminal,direction] = intersect_event(t,y) %creates event if any cells self intersect. Usually stops code if this is %the case if used as an event in the code global C [V,V_ref] = matricize(y); value = is_self_intersecting(C,V) || is_self_intersecting(C,V_ref); value = double(value); direction = 0; i...
%% Melakukan testing menggunakan model probabilistik clear; clc; close all; % Membaca data Train dan data Test dataTrain = csvread('data_train_PNN.csv'); dataTest = csvread('data_test_PNN.csv'); train = dataTrain(1:150,:); valid = dataTest(1:30,:); train_sort = sortrows(train, 4); % Memisahkan data train sesuai deng...
load('B') figure subplot(2,1,1) plot(0:.2:400,ENeuron,'k') ylim([-80 40]) set(gca,'YTick',[-80:40:40]) ylabel('Voltage (mV)') title('Excitatory Neuron') box off subplot(2,1,2) plot(0:.2:400,INeuron,'color',[.5 .5 .5]) ylim([-80 40]) set(gca,'YTick',[-80:40:40]) ylabel('Voltage (mV)') box off title('Inhib...
classdef ClosedLoopMPC < Controller.AbstractMPC % properties % % % end;% % % % --------------------------------------------------------------------- methods % function tController = ClosedLoopMPC( tParameters ) % tController = tController@Controller.AbstractMPC( tParameters ); % % ...
try close 2; close 3; close 4; close 5; close 6; catch end resolution=ceil(length(all.T_dif)/1000); figure(2) set(gcf,'name','Annually DHW','units','centimeters','position',[0.5 2 16 7], 'color','white','PaperUnits','centimeters','PaperType','A4','PaperOrientation','landscape','PaperPosition...
function [] = make_fmri_parallel_jobs(datafilename, numofparalleljobs, datafolder, savefolder) if(nargin<1) % datafilename = '88_100316CR_1-pol_20140129T132253'; datafilename = 'fmriGP_whole_20140130T111128'; end if(nargin<2) numofparalleljobs = 50; end filename = 'fmriGP_script_wholebrain_p';...
function error=rmse(x,t), % % RMSE error function % % error=rmse(x,t) % % x = salida obtenida % t = salida deseada % error = sumsqr(t-x)/sumsqr(t-mean(t));
%This function checks to see if a rectangle is bounded by tracks function [OutBool , NumFilledOut]=CheckOutBoundGround(LocIminT,LocImaxT,LocJminT,LocJmaxT,SubPixRes,IpixelsFillA,FillNoFillVal,ImSize,NumFilled) LocImin=max(LocIminT-1,1); LocImax=min(LocImaxT,ImSize(1)); LocJmin=max(LocJminT-1,1); LocJmax=min(LocJmaxT...
function claxis % claxis -- Clear plot axis % Usage % claxis axis([0 1 0 1]); axis; % % Part of WaveLab Version 802 % Built Sunday, October 3, 1999 8:52:27 AM % This is Copyrighted Material % For Copying permissions see COPYING.m % Comments? e-mail wavelab@stat.stanford.edu %
function newobjectivesolution = golocalsearch(inputquantityshipped, quantityshipped,objectivesolution); nosp = 5; %reads the number of sales points considered global nopd salespointresiduals noft = 4; %reads the number of factories %nopd = 6; %number of planning period trkcap = 70; %Ca...
function dfdpval = SEIR_var_dfdp(t,y,p,more) beta = more.beta_fun(t,p,more); beta = beta(:); dbetadp = more.beta_dfdp(t,p,more); n = size(y,2); r = zeros(length(t),n,n,length(p)); r(:,1,1,more.beta_ind) = diag(y(:,1)*(p(2)+y(:,3))) * dbetadp; r(:,2,2,more.beta_ind) = diag(y(:,1)*(p(2)+y(:,3))) * dbetadp; r(:,1,2,mor...
% Tanvir Ferdousi % Kansas State University % Last Modified: Oct 2018 % Copyright (c) 2019, Tanvir Ferdousi. All rights reserved. % Redistribution and use in source and binary forms, with or without % modification, are permitted % Runs simulations for a range of different parameters (one at a time) clear; clc %% Ini...
% sequentiallly determined integer control on two genotype modelsfor % sub-intervals of length t_int clear all close all % set parameters global beta mu_M D_M psi1 u beta=1.5; mu_M= 1/(5*365); D_M=1/20; u=0; psi1=0.9; %mu_M=1.6; % set up ode model from functions dx_m=@(t,x)geno_2_mean_dyn(t,x); dx_v=@(...
% book : Signals and Systems Laboratory with MATLAB % authors : Alex Palamides & Anastasia Veloni % % % % step response a=[1 -1]; b=[.2 .1]; n=0:100; u=ones(size(n)); s=filter(b,a,u); stem(0:100,s); title('Step response of the system')
%% Load display setup projectName = 'ISETImagePipeline'; dataBaseDir = getpref(projectName, 'dataDir'); displayFile = 'CRT12BitDisplay.mat'; display = load(fullfile(dataBaseDir, displayFile)); %% Create the cone mosaic, test run retina = ConeResponse('eccBasedConeDensity', true, 'eccBasedConeQuantal', true, ... '...
%clear variables clc; clear; close all; % change this path if you install the VOC code elsewhere addpath([cd '/VOCcode']); % initialize VOC options VOCinit; VOCopts.testset='test'; % VOCopts.testset='val'; results_auc = pascal_classifier( VOCopts ); latex_table( VOCopts.classes, results_auc, 1 );
classdef ExplicitMPC < Controller.Controller % properties % % ----------------------------------------------------------------- % cost function afLinearCostMatrix; aafQuadraticCostMatrix; % % ----------------------------------------------------------------- % optimization inputs tConstraints; t...
%% Mean field inference fprintf('Running Mean Field Inference...\n'); [nodeBelMF,edgeBelMF,logZMF] = UGM_Infer_MeanField(nodePot,edgePot,edgeStruct); figure; imagesc(reshape(nodeBelMF(:,2),nRows,nCols)); colormap gray title('Mean Field Estimates of Marginals'); fprintf('(paused)\n'); pause % fprintf('Running mean fi...
nSkip = 0; load('all_cases.mat'); fmdl_recon = create_thorax_fem_simon(32, nSkip, 0.05, 0, 0, 0); hp = logspace(-7,-5,10); beta = 0.5; BR = zeros(length(beta),length(hp)); for i = 1:length(beta) for j = 1:length(hp) imdl = mk_hpselection_imdl(cases{i}.fmdl,fmdl_recon, 1,0,'bestres',1,0,2); ...
% Controller Parameters % Number of Operation Mode & Motor num_mode = 2; % number of operation mode num_motor = 3; % number of motor % Task Sample Rates ts1 = 50; % ts1 sample time [msec] ts2 = 100; % ts2 sample time [msec] ts3 = 200; % ts3 sample time [msec] % Times tim...
function varargout = conf(varargin) % CONF MATLAB code for conf.fig % CONF, by itself, creates a new CONF or raises the existing % singleton*. % % H = CONF returns the handle to a new CONF or the handle to % the existing singleton*. % % CONF('CALLBACK',hObject,eventData,handles,...) calls the l...
function [fval] = DummyCustAssign(storeLoc,commX,commY,commSize,congest,timeScale,k) %UNTITLED6 Summary of this function goes here % Detailed explanation goes here storeX = storeLoc(1:k)'; storeY = storeLoc(k+1:2*k)'; [~,fval] = CustomerAssignment(storeX,storeY,commX,commY,commSize,congest,timeScale); end...
clear all; player_move = 0; previous_move = 0; previous_outcome = 0; AI_agent = 'random'; round_counter = 0; wins = [0,0,0]; %wins vector, player, AI, draws win_matrix = []; %WIN_MATRIX %row 1 = random_agent %row 2 = wslfds_agent %row 3 = wslbds_agent %row 4 = wslsds_agent %row 5 = wslfdf_agent %r...
function [oil_conductance, water_conductance, A_oil, A_water] =... conduct_drain(Pc_threshold,rec_angle,half_angles,geometry,... G_factor,total_A,sig_ow,rInscribed) % Patzek's approach to find corner fluid area and conduactance. % This model is based on paper: % "Patzek ;Verification of a Complete Pore Net...
%% Verify Marginal Likelihood Equation with Interventional Data % "Causal Discovery from a Mixture of Experimental and % Observational Data" Cooper & Yoo, UAI 99, sec 2.2 %#testPMTK G = zeros(2,2); G(1,2) = 1; CPD{1} = TabularCPD([0.5 0.5], 'prior', 'BDeu'); CPD{2} = TabularCPD(mkStochastic(ones(2,2)), 'prior', '...
%% Midterm Question 4 (Take 2) % Paul "Nick" Laurenzano %% Setup clear; close all; %% Overview % For the shown RPP robot... %% A % Calculate the inverse kinematic equations for the three joint variables % theta1, d2 and d3, given X, Y and Z. Type them into the window as your % answer. Save them for the question belo...
[Y, X] =svmlread2('arxiv.train'); [Z, W] =svmlread2('arxiv.test'); PredictedClass=zeros(32487,1); Ypositive=Y(X==1,:); Ynegative=Y(X==-1,:); TotalPositiveWordOccurence= sum(Ypositive); TotalNegativeWordOccurence=sum(Ynegative); %[x,y,v]=find(Ypositive(:,:)) %TotalPositiveWords=length(unique(y)) vocab=99758; TotalPo...
% DEC.m - DEC class % % Copyright (C) 2013 Integrated System Laboratory ETHZ (SharperEDGE Team) % % This program is free software: you can redistribute it and/or modify it % under the terms of the GNU General Public License as published by the % Free Software Foundation, either version 3 of the License, or (at your % o...
function update(epb) lastupdate = epb.LastUpdate; starttime = epb.StartTime; val = epb.Value; % Enforce a minimum time interval between updates if isempty(epb.TimeString) || etime(clock,lastupdate) < 0.01 return end if val >= 1 timeleftstr = 'done.'; else runtime = etime(clock,starttime); ...
function tab=Step_5(n) tab = 1*[ ... 0,0.7,1; % light blue 0,0,1; %%blue 1,1,0; %%yellow 1,0.7,0; %%orange 1,0,0]; %%red
method_vec = {'adaptive','adaptive_control','costben','ensemble','ethics','ibm','optim','sdm','SDP','voi'}; method_vec = {'ethics','optim','costben','voi','adaptive','ibm','adaptive_control','ensemble','sdm','SDP'}; method_vec = {'ethics','optim','costben','voi','adaptive','ibm','sdm','ensemble'}; % method = 'ethics'...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Copyright 2010 - 2015 Moon Express, Inc. % All Rights Reserved. % % PROPRIETARY DATA NOTICE: % The data herein include Proprietary Data and are restricted under the % Data Rights provisions of Lunar CATALYST Space Act Agreement % No. SAAM ID#...
chen=5; aaaa=6;
function getBaselineMUASpikePhase(baselineStructure,experiment,CSC,save_data) %% calc oscTimes,Ampl,Duration, and occurence Path = get_path; parameters=get_parameters; Filters = parameters.spikeanalysis.phaseFilters; load(strcat(Path.output,filesep,'results',filesep,'BaselineMUAspikeTimes',filesep,experiment.name,files...
function [actdcf, mindcf, prbep, eer, numTargets, numNontargets] = plotOneScr_TargetsNontargets(scrMatrix, duration, key) % % Inputs: % 'scrMatrix' is a Bosaris' Scores structure % 'duration' is a string among '1sec', '2sec' or '3sec' % '~' a Bosaris' Key file % % Example: ...
function [M4] = algo2versio4(histim,historig,bins) %blue pensado por mi suma = 0; for i=1:bins suma = suma + abs(histim(i)^0.5-historig(i)^0.5); end M4 = suma; end
close all a = {'005','006'}; dataMatrix = {}; for n = 1:size(a,2) % h(n) = figure('Color','White'); load(['sgvd04_211011_' a{n} 'a_pArt1_MScanData.mat']); t1 = (1:length(MScanData.data.vesselDiameter))*(1/MScanData.notes.frameRate); procData1 = MScanData.data.vesselDiameter; procData1 = medf...