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% atmPendulum.m
%
% DOING PHYSICS WITH MATLAB
% https://d-arora.github.io/Doing-Physics-With-Matlab/
% IAN COOPER
% matlabvisualphysics@gmail.com
% LINK: DOWNLOAD MATLAB SCRIPTS
% https://github.com/D-Arora/Doing-Physics-With-Matlab/tree/master/mpScripts
% https://drive.google.com/drive/u/3/folders... |
function primeArray = findprime( n )
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
count =0;
i=2;
primeArray =[];
while(count<n)
if(isprime(i)==1)
count=count+1;
primeArray=[primeArray,i];
end
i=i+1;
end
end
|
function do_nothing(~,~,~,~)
end |
zi=-10;
xi=-10;
zf=10;
xf=10;
zstepfrac=0.1;
xstepfrac=0.1;
size=int32(((zf-zi)/(zstepfrac)+1));
eta = 3;
thetai='0.25pi';
g=[1.0];
for x=1:1
g(x) = round(g(x)*10^1)/(10^1);
end
sizesquare=int32(double(size)*double(size));
data=zeros(sizesquare, 6, 7);
for x=1:1
num2str(g(x), '%3.1f');
data(:,:,x) = load(strcat('d... |
function [xyzStairPlane, stairsEdges] = fitPlaneFromPrediction(xyzPoints, uvdPoints, edgeCandidates,predictedPlane,uvdGP,epsilon)
global intrinsics baseline;
xyzStairPlane=[];
stairsEdges=[];
predictedPlaneuvd=uvdPlane2(predictedPlane, intrinsics, baseline);
predictedPlaneuvd=uvdPlaneExpand(predictedPlaneuvd);
%rewri... |
% File: SA2_7.m for Study-aid Example SA2-7
clear;
% Calculate the PSD for periodic e^t using the FFT.
M = 6;
N = 2^M;
n = 0:1:N-1;
T = 1.0;
dt = T/N;
t = n*dt;
% Creating time waveform
w = exp(t);
% Compute the FFT data points.
W = fft(w);
W = W(:);
% SINCE THE WAVEFORM IS PERIODIC,
% USE COMPLEX FOURIE... |
%建立符号变量a(发展系数)和b(灰作用量)
syms a b;
c = [a b]';
%原始数列 A
A = [87016, 81784, 76089, 74558,81772, 74194];
n = length(A);
%对原始数列 A 做累加得到数列 B
B = cumsum(A);
%对数列 B 做紧邻均值生成
for i = 2:n
C(i) = (B(i) + B(i - 1))/2;
end
C(1) = [];
%构造数据矩阵
B = [-C;ones(1,n-1)];
Y = A; Y(1) = []; Y = Y';
%使用最小二乘法计算参数 a(发展系数)和b(灰作用量)
c = i... |
function tests = specialzerosTests
tests = functiontests(localfunctions);
end
function testBesscrosszero(testCase)
BCs = ['DD'; 'DN'; 'ND'; 'NN'];
for nu = [0, 1e-5, logspace(0,2,10)]
for l = logspace(0,2,10) + 0.01
for i = 1:size(BCs,1)
for n = 1:400
fai... |
% Lab 2 Calculations
% By Drew Wynne
% Commenced: 27, 08, 2016
% Completed: TBA
clear;
close all;
clc
fprintf('\n\nLab 2 Calculations...\n');
%% Theoretical Mass and Moment
Lab_2_Mass_Moment_Calculations;
%% Angular and Linear Velocities and Accelerations
Lab_2_Motion_Calculations;
fprintf('La... |
function [I]=int_midpoint_rule(fun,a,b,n)
h = (b-a)/(n-1);
xj(1) = 0;
xk(1) = 0;
f(1) = 0;
for j=1:n
xj(j) = a + (j-1)*h;
end
for k=1:n-1
xk(k) = (xj(k+1) + xj(k))/2;
end
for i=2:n
f(i) = f(i-1) + h*(fun(xk(i-1)));
end
I = f(n);
end |
% |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
% INFORMATION
% |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
%
% Need to have run Mdn_PwrR_Split.m to use the code below.
%
% |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||... |
% VORLAGE Numerisches Loesen von Differentialgleichungen (mit ode45)
% Angelos Drossos
% 19.02.1013
% GPLv2
% Tipp: Immer das komplette Skript ausfuehren (Run-Button / F5)
%% Workspace loeschen, Console loeschen, alle Fenster schliessen
% dient der Sicherheit / um Fehler schnell zu erkennen
clc
clear all
c... |
function ean=EANSCValue(clv)
% EANSCValue computes the Equal Allocation of Non-Separable Contribution/Cost Value
%
% Source: Moulin, H. (1985). The separability axiom and equal-sharing methods,
% Journal of Economic Theory 36(1): 120-148.
%
% Usage: ean=clv.EANSCValue()
%
% Define variables:
% output:
% ean ... |
%Zhe Chen
%Final Project for CFD
%main script
clear;
close all;
clc;
addpath('./CodeReport/code/')
h=2;
a=0.656;
mg=1.27e-15*9.8;
dx=h/8;
M=1;
L=1024;
L_ic=12*h;%32sigma
kT=(h-a)*1e-6*mg;
T=kT/1.38064852e-23
omega=16;
S=6*a^3*omega;
Amp=M/L_ic;
%!!!!!!!!!
R=L/2;
limiter=1;
eps_f=0.025*Amp;
eps_a=.01;
V0=Amp*pi*S/3;
K... |
function [Energy_information, Energy_values] = flexload_allocatoin_get_profile_energy(input_simdata, sep, input_selector, timebase, ontime)
%FLEXLOAD_ALLOCATOIN_GET_PROFILE_ENERGY Summary of this function goes here
% Detailed explanation goes here
% retrieve the information of the simulated profiles:
content = dir(i... |
function blocking = blocking(erp,i)
% function detects blinks in the VEM channel
%thresh = erp.arf.thresh(chanc);
winSize = 100; % size of test window, ms
winSize = round(winSize/erp.rateAcq); % size of test window, samples
winStep = 50; % size of step between windows, ms
winStep = round(winStep/erp.rateAcq); ... |
function output = checkInjection(frame, varargin)
% Grant David Meadors
% 02012-04-24
% gmeadors@umich.edu
% Compares the frame file against a list of known
% successful hardware injections to see whether
% the feedforward algorithm alters them.
% This should also detect any spurious timing shifts.
% The varargin wo... |
function varargout = opentoolbox(varargin)
% OPENTOOLBOX MATLAB code for opentoolbox.fig
% OPENTOOLBOX, by itself, creates a new OPENTOOLBOX or raises the existing
% singleton*.
%
% H = OPENTOOLBOX returns the handle to a new OPENTOOLBOX or the handle to
% the existing singleton*.
%
% OPENTOOLB... |
function perccount(jj,maxjj)
%Reports the percentage of the job done to the screen.
%
% PERCOUNT(I,Imax)
% I is the current iteration between 1 and Imax
% Imax is the maximum number of iterations
%
% Do not print anything to the screen between calls of this function!
%
% title - s cmspike/perccou... |
function [h,a,w] = mplfiltl(fr,mag,wts,na)
% Function to create a (linear phase) digital filter
% Called by mplcalcc
% Parameters [fp fs], mag, [wt1, wt2], and na from pulse setup
% Returns h (b-polynomial (evaluated around the unit circle),
% a (a-polynomial evaluated around the unit circle), and w (freq)
global mm... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script is for training the neural network without SMOTE.
% I use this script mainly for evaluating the performance of the
% algorithm.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% clc;
% clear;
% clos... |
function error=compute_Hs_error(exact_solution_fun, solution,P,T, Tb, basis_type, der_x,der_y,Gauss_type, time)
error=0;
number_of_elments = size(Tb,2);
for n=1:number_of_elments
vertices = P(:,T(:,n));
uh_local=solution(Tb(:,n));
[Gauss_coefficient_reference_triangle,Gauss_point_reference_triangle]=genera... |
clear;
methods = {'quad-rankmm-10.0-none-none-false', 'quad-l1mm-10.0-none-none-false', 'quad-mle-100-5.0'};
allPos = {};
allNeg = {};
allROC = {};
files = {'../../../output/citeseer.out'};
for k = 1:length(files)
fin = fopen(files{k}, 'r');
while ~feof(fin)
line = fgetl(fin);
pattern = 'Meth... |
function p = double_barrier_exit_prob(x, xprime, L, U, sigma, dt, cutoff)
% DOUBLE_BARRIER_EXIT_PROB calculates the probability of a GBM reaching L or U.
%
% p = DOUBLE_BARRIER_EXIT_PROB(x, xprime, L, U, sigma, dt, cutoff) gives
% the probability for a GBM S of hitting one of the barriers L and U over
% a time pe... |
function varargout = S2MT_G(varargin)
% S2MT_G MATLAB code for S2MT_G.fig
% S2MT_G, by itself, creates a new S2MT_G or raises the existing
% singleton*.
%
% H = S2MT_G returns the handle to a new S2MT_G or the handle to
% the existing singleton*.
%
% S2MT_G('CALLBACK',hObject,eventData,handles,... |
clc;
close all;
clear all;
fm=input('Enter Frequency of the message signal: ');
fc=input('Enter Frequency of the carrier signal: ');
fs=100*fc;
t=0:1/fs:((2/fm)-(1/fs));
x=0.4*cos(2*pi*fm*t)+0.5;
y=modulate(x,fc,fs,'ppm');
xrec=demod(y,fc,fs,'ppm');
subplot(2,2,1);
plot(x);
title('Message Signal');
subplot(2,2,2);
plot... |
% --------------------------------------------------------------------
%
% Evaluates the first partial derivatives of the biquadratic b.f.
% at point 'k' from array 'Gauss_point'
% 'Gauss_point' contains the coordinates of the
% reference triangle (0,0),(1,0),(0,1)
%
% (-1,-1),(1,1)
%
% Presummed ordering of the nodep... |
%Convolutional neural network for handwriten digits recognition: training
%and simulation.
%(c)Mikhail Sirotenko, 2009.
%This program implements the convolutional neural network for MNIST handwriten
%digits recognition, created by Yann LeCun. CNN class allows to make your
%own convolutional neural net, defining arbitra... |
%For checking proplib validity
%Set the GetTPX function to always make a non-DB initial guess!
%Get values from the library
D = load('PropLib3.dat');
T_lib = D(:,1);
P_lib = D(:,2);
X_lib = D(:,3);
Q_lib = D(:,4);
H_lib = D(:,7);
%Make H error
Q_err = zeros(size(H_lib));
D_new = zeros(size(D));
%Loop through and calc... |
function [Performance,Thermal_Efficiency] = PerformanceEfficiencyCp(T1,P1,PR,MaxT)
% Thermal Systems - Project 2A
% Function to obtain performance and efficient of a jet engine with particular parameters for constant cp
%%%%%%
% Definition of Constants
%%%%%%
R=0.287; % Constant
n=1.4; % Constant
k = (... |
M = 15; % number of measurements
% projType = 1; % uniform random projection
projType = 2; % Gaussian random projection
% projType = 3; % Single pixel measurement
%% Create random measurement matrix
C = zeros(M,n*n);
Theta = zeros(M,n*n);
xmeas= zeros(n,n);
for i=1:M
xmeas = 0*xmeas;
if(projType==1)
... |
function rdDpxExpRotBindTwoFullCyl()
%%report the front fields of both full cylinders
%
%%input needed: none
%%i.e. rdDpxExpRotFullCyl()
fb='';
pos='shuffled';
E=dpxCoreExperiment;
E.txtPauseNrTrials=151;
E.nRepeats=5;
E.txtStart='Kijk naar het rode kruisje.\n\nWelke richting draaien de voorvlakken van beide cylinde... |
function status = idlk(t,y,flag,params)
global tt yy uu
if nargin < 3 || isempty(flag)
tt = [tt;t(end).'];
yy = [yy;y(:,end).'];
nu = quad_sdlqr(t(end),y(:,end),params,uu(end,:));
uu = [uu;nu.'];
else
switch(flag)
case 'init'
fprintf('start\n');
tt = t(end).';
yy = y(:,end).';
uu = [uu;params.u0.'];
case ... |
function [logarithmicNegativity negativity entanglementOfFormation covariance alpha beta gamma]=Covariance_negativity(covariance)
sigma=4*covariance; % factor 4 because definition of quadratures is different for below formulas (vacuum variance=1)
alpha=sigma(1:2,1:2);
gamma=sigma(1:2,3:4);
beta= sigma(3:4,3:4);
Del... |
% Copyright (c) 2020 Gabriele Gilardi
% Perform the feed-forward step (eq. 25, Ch. 2)
function NNs = FeedForward(NNs)
for i = 2:length(NNs)
NNs(i).Z = NNs(i).W*NNs(i-1).A + NNs(i).B;
NNs(i).A = f_activation(NNs(i).Z);
end
% End of function
|
function [train_proj,test_proj] = train_test_mcml(Xtrain,Ytrain,Xtest)
[mcml_model] = train_mcml(Xtrain,Ytrain);
train_proj = mcml_model.Xtrain;
[err,test_proj] = test_mcml(Xtest,[],mcml_model);
|
function So=UTIL_vectSpectAvg(Si)
So=zeros(size(Si,2),1);
for n=1:size(Si,1)
So=So+Si(n,:)';
end
So=So./size(Si,1); |
clearvars;
dforprojm = pwd;
prompt = 'Enter the file name of the dataset ';
str = input(prompt,'s');
data = load([str]);
prompt = 'Enter the file name for output ';
str1 = input(prompt,'s');
d = 0;
drt = 0;
arr = [data];
for ik = 1:10;
for k = 1:10;
drt = 25 + drt;
d = drt;
if ik==1;
ext = ['a' num2str(k) ];
end;
if... |
%% evenlySampleCurve
% Below is a basic demonstration of the features of the |evenlySampleCurve| function.
%%
clear; close all; clc;
%%
% PLOT SETTINGS
fig_color='w';
fig_colordef='white';
markerSize=15;
lineWidth=2;
%% EXAMPLE USING NORMAL INTERPOLATION
%Simulating the case of an unevenly sampled l... |
clc;
clear all
close all
t=mmreader('vishi.avi');
numframe=t.NumberOfFrames;
k=1;
d=read(t,1);
a=size(d);m=a(1);n=a(2);
for i=1:40
d=read(t,i);
is=ischessboard(d);
imwrite(d,char_name(90));
if (is==1)
k=k+1
% am(k)=d;fr
end
end
|
function [ex0, ex2, idxs] = split_co(ex, es)
%%
% split ex-file with different contrast such that the effect size
% corresponds to 'es'
%
cos = unique([ex.Trials.co]);
lenc = length(cos);
spks = ones(1, lenc);
si = cell(1, lenc);
for c = 1:lenc
[spkv, spkc] = getSpks(ex.Trials([ex.Trials.co]==cos(c)), [0.8 0]);
... |
function segments = mia_cmbseg(segin)
% combine the segments belong to boundaries of holes inside the objects
% with the segments of objects boundaries.
% Authors
% Sahar Zafari <sahar.zafari(at)lut(dot)fi>
%
% Changes
% 14/11/2016 First Edition
%----------------------------------------------------... |
% Run a test of the Kelvin-Helmholtz instability.
%--- Initialize test ---%
grid = [512 512 1];
run = KelvinHelmholtzInitializer(grid);
run.iterMax = 1000;
run.waveHeight = .01; % Creates sine waves at the boundaries of this amplitude (as fraction of total grid)
run.numWave ... |
function whisking = whisking_general(array,displayOpt)
%
% This function outputs a general whisking analysis of:
% 1) comparison of spiking based on whisking vs quiescent periods
% 2) comparison of spiking in protraction vs retraction in whisking cells
% 3) tuning across the population as whisking reaches the peak or ... |
function Dmn = get_Dmn_from_Dx(num,D_x,m,n)
load('TD_init_parameters.mat','S_dparameters');
dx = S_dparameters(num).dx;
[~,CFvecs] = get_CF_basis(num);
Dmn = sum(CFvecs(:,m).*D_x.*CFvecs(:,n))*dx;
end |
% Javier Salazar 1001144647 Set 5 Ex 3
clc
clear all
x1 = 10;
x2 = -10;
n = 50;
taylor_x1 = zeros(1,n);
taylor_x2 = zeros(1,n);
for i=1:n
taylor_x1(i) = exp_approx(x1, i);
taylor_x2(i) = exp_approx(x2, i);
end
error_x1 = abs((exp(x1)-taylor_x1)./(exp(x1)));
error_x2 = abs((exp(x2)-taylor_x2)./(exp(... |
function R=fastExpm(S)
%attempt to compute expm faster
[V,D]=eig(S);
R=V*diag(exp(diag(D)))*V';
R=real(R);
end |
function [s] = averageN(M)
s=zeros([1,20]);
for j=1:20
for i=1:30
s(1,j)=s(1,j)+M(i,j);
end
s(1,j)=s(1,j)/30;
end
plot(s) %draw the graph
legend('T1','T2');
hold all %drwing all the graphs on the same axes
end
|
function [area, contr_signal] = dir_valve_area_characterization(valve_data)
% The function computes values of orifice area as a function of valve
% control signal to be used in approximating equation
% q = C_d * area(x) * sqrt(2/rho * p). The computation is based on the set
% of experimental data provided in the ... |
function [dx,dy]=getDispersion(THERING,bpmindx)
% function [dx,dy]=getDispersion(THERING,bpmindx)
%
% determines dispersion taking two orbits at plus and minus DE=0.0001
%
DE=0.001;
Op=findorbit4(THERING,DE,bpmindx);
Opx=Op(1,:);
Opy=Op(3,:);
Om=findorbit4(THERING,-DE,bpmindx);
Omx=Om(1,:);
Omy=Om(3,:);
dx=(Opx-... |
function [T,BG_data,BI_data]= sim_clin_data(N_of_subjects,CV,rsquared,auto_decay)
% Generation of simulated clinical data from "acceptable" profile.
% Additions for data generation by R Allen and T Rieger
% This function generates the simulated data that we will attempt to match.
% We generated simulated profiles b... |
clear all, close all, clc
load('datamat.mat')
dt = parms.dt;
%---get DMD modes from data matrix
%Rescale X for covariance matrix:
X = Xbg(:, 1 : end - 1);
X2 = Xbg(:, 2:end );
[U, S, V] = svd( X, 'econ' );
%Compute DMD (Phi are eigenvectors )
r = 15; % truncate at r ;
U = U(:, 1 :... |
% op_bessel1.m
% Bessel function of the first kind J1
% 30 aug 2014
% Ian Cooper School of Physics University of Sydney
% cooper@physics.usyd.edu.au
% https://d-arora.github.io/Doing-Physics-With-Matlab/
% Plot of the Bessel function of the first kind
% Plots of the Fraunhoffer diffraction pattern for a uniformly ... |
function h = showAnaglyph(im1, im2, alpha)
% SHOWANAGLYPH Displays anaglyph of two images
%
% Other m-files required: none
% Subfunctions: none
% MAT-files required: none
%
% Author: Gabriel Moreira
% email: gmoreira (at) isr.tecnico.ulisboa.pt
% Website: https://www.github.com/gabmoreira/maks
% La... |
%%ImaqGUI edited hy H Yang for EPSRC project "Tensor tomography"
function varargout = tensorguiDK(varargin)
% TENSORGUIDK M-file for tensorguiDK.fig
% TENSORGUIDK, by itself, creates a new TENSORGUIDK or raises the existing
% singleton*.
%
% H = TENSORGUIDK returns the handle to a new TENSORGUIDK o... |
function [ seg, segments ] = applySegEquivToSeg( eClasses, seg, segments )
%APPLYSEGEQUIVTOSEG Apply a segment equivalence relation to seg.
% INPUT eClasses: [Nx1] cell
% Each entry contains an [Mx1] int array specifying the segment
% IDs which should be merged.
% Note that each equivalenc... |
function D = Q_codebook(N, Q, q)
% 新的DFT码本方案，可实现过采样
% N 为天线数量
% Q 为量化比特
% a 为虚拟角度细分成程度
%%
choose = 1; %临时代码
if nargin == 1
q = N * 8;
Q = N;
elseif nargin == 2
q = 2^Q * 8;
Q = 2^Q;
else
% disp('ok')
if q < 0
q = -q; choose = 0;
end
q = 2^Q * q;
Q = 2^Q;
end
RF = DFT_set(N,... |
% this code builds the LODF and PTDF matrices
% PTDF - POWER TRANSFER DISTRIBUTION FACTORS
% LODF - LINE OTAGE DISTRIBUTION FACTORS
PTDF = zeros(numline,numline); % PTDF matrix
LODF = zeros(numline,numline); % LODF matrix
RadialLines = zeros(1,numline); % table of lines shows radials
Bx = zeros(numbus,... |
function [v,R] = slvcentdir_coneopt(v,rs,K,pars,R)
% get the current right hand side:
r1 = rs.r1;
r2 = rs.r2;
r3 = rs.r3;
r4 = rs.r4;
r5 = rs.r5;
%testing:
%ck = v.mu*(1/v.kappa);
ck = v.tau;
[d,v.CF] = solve_linear_system(v.F{3},v.mu,pars.A,pars.b,pars.c,v.tau,v.kappa,...
r1,r2,r3,r4,r5,pars);
%[d,v... |
close all;
clear;clc;
%%%%%%%%%产生仿真数据%%%%%%%%%%
n = 2;
total = 1000;
sigma = 1;
v = sigma*randn(total,1); %噪声
z = zeros(1,total);
u = zeros(1,total);
uf = zeros(1,n);
yf = zeros(1,n);
vf = zeros(1,n);
fai0 = zeros(3*n,1);
e1 = zeros(1,total);
e2 = zeros(1,total);
e3 = zeros(1,total);
e4 = zeros(1,total);
e5 = zeros... |
function depth = load_depth_map(filename, target_sz)
fid = fopen(filename, 'rb');
sz = fread(fid, 2, 'int');
h = sz(1);
w = sz(2);
raw_depth = fread(fid, h*w*3, 'double');
raw_depth = reshape(raw_depth, 3, []);
x = reshape(raw_depth(1,:), w, h)';
y = reshape(raw_depth(2,:), w, h)';
z = reshape(raw_depth(3,:), w, h)';
s... |
%robotics.PRMは3Ⅾはできない
%-----------生データ生成-----------%
SampleNum = 50;
theta = linspace(0, 2 * pi, SampleNum);
funcX = @(th) 1 * sin(th);
funcY = @(th) 1 * sin(2 * th);
Position = zeros(SampleNum, 3); % [cm]
for i = 1 : SampleNum
Position(i, 1) = funcX(theta(i));
Position(i, 2) = funcY(theta(i));
Position(... |
function poly_coeffs=Zad4(limits,n)
% n=4;
h=2/n;
x_limits=[limits(1), limits(2)]; % zakres x
wezly=x_limits(1):h:x_limits(2); % węzły
f_x=1./(2+wezly.^2); % wartości w wezłach
mat1=vander(wezly); % macierz Vandermonde'a
poly_coeffs=mat1\f_x'; % współczynniki wielomianu poprzez dzielenie
% plotowani... |
function [Inew,D,orient]= SADTFD_new_iterative(S,alpha1,alpha2,N)
%length
%alpha=0.25;
R=3;
%D = mtfd(S, 'WVD');%,0.04,0.04);
D = mtfd(S, 'CKD',1,0.3,0.3);
[MM,~]=size(D);
D_avg = zeros(length(S), length(S));
for mm = 1:MM, D_avg = D{mm,mm} + D_avg; end
DD=D;
D_avg=real(D_avg)/MM;
%D=DD;
M=180;
... |
%% 1D coherence matlab/unity
% need to write results to a txt file
% https://research.computing.yale.edu/hpc/faq/how-can-i-run-matlab-batch-mode-without-gui
% run w/o a gui would be good.
clear all, clc
%% set up TCP socket with Unity
t = tcpip('127.0.0.1',10061,'NetworkRole','Client','Timeout',60);
fopen(t)
t
%% S... |
clc; clear;
spoon1 = load('ironcup_spoon_1.txt');
spoon2 = load('ironcup_spoon_2.txt');
spoon3 = load('ironcup_spoon_3.txt');
acrylic1 = load('ironcup_acrylic_1.txt');
acrylic2 = load('ironcup_acrylic_2.txt');
acrylic3 = load('ironcup_acrylic_3.txt');
al_ruler1 = load('ironcup_al_ruler_1.txt');
al_ruler2 = load... |
%Task2
% General Values
lambda_values = [100, 120, 140, 160, 180, 200];
fname = "movies.txt";
% Configuration 1
c1_n = 10;
c1_S = 100;
% Configuration 2
c2_n = 4;
c2_S = 250;
% Configuration 3
c3_n = 1;
c3_S = 1000;
%%
%2a
N_times = 10;
alfa = 0.1;
W = 0;
p = 0.2;
R = 10000;
[medias_b_4k_c1, terms_b_4k_c1, medias... |
clc,clear
N = 300;
z = randn(N,1)*0.3;
z(1:N/2) = z(1:N/2) + 4;
x = z;
x_old = x;
x_bar = x;
y = zeros(N,1);
plot(z)
niters = 50;
sigma = 25;
tau = 0.01;
theta = 0.5;
for i = 1:niters
for j = 2:N
de_xi_xj = x_bar(j) - x_bar(j-1);
y(j) = proxFConj(y(j)+sigma*de_xi_xj);
end
for j = 2:N
... |
%[f, x0, xn, y0, h]=GetValue(@TestF, 0, 1, 0, 0.1);
f=@F;
x0=0;
xn=10;
y0=0;
h=0.5;
[x1,y1]=RungeKutta( f, x0, xn, y0, h );
[x2,y2]=Adams4x( f, x0, xn, y0, h );
y3=(x1.*(x1.^2 - 12))./3;
plot(x1,y1,'ro', x2,y2,'b*', x1,y3);hold on;
%fplot(dsolve('Dy=x^2-4','y(0)=0','x'),[x0,xn]);
grid, xlabel('自变量 X'), y... |
run init.m
% frequency
measurement.Fs = Fs;
% date
measurement.date = datetime('now');
d = measurement.date;
% parameters and descriptions
dist = input('Enter distance >> ');
measurement.distance = dist;
measurement.description = input('Any description? >> ', 's');
% fil... |
%% COMPUTE DMD
% step 0
XD1 = XDAT(:,1:end-1);
XD2 = XDAT(:,2:end);
% step 1
[U,S,V] = svd(XD1,0);
% step 2
Sinv = S(1:r,1:r)^(-1);
Atilde = U(:,1:r)'*XD2*V(:,1:r)*Sinv(1:r,1:r);
% step 3
[W,D] = eig(Atilde);
% step 4
Phi = XD2*V(:,1:r)*Sinv*W;
%% Plot DMD eigenvalues
figure, hold on
dmdeigs = log(eig(Atilde))*100;
la... |
function dx = backprop(dy,x,y,settings)
%MAPMINMAX.BACKPROP Backpropagate derivatives from outputs to inputs
% Copyright 2012-2015 The MathWorks, Inc.
dx = bsxfun(@times,dy,settings.gain);
end
|
%Phu Tssran
%Final Project: Bose-Einstein
%AMATH 481
%12/10/15
clc; close all;
%setup
L = pi;
n = 16;
dx = 2*L/n;
dy = dx;
dz = dx;
x = -L:dx:L;
x = x(1:n);
y = x;
z = x;
dt = 0.5;
tEnd = 4;
tSpan = 0:dt:tEnd;
a = -1;
b = -a;
kx = (2*pi/(2*L)).*[0:(n/2 - 1) (-n/2):-1];
kx(1) = 10^-6;
ky = kx;
... |
function data = correctDExtCell(data, directExtn, indexes )
% correctTraces Apply crosstalk and scaling corrections to fluorescence traces.
%
% DATA = correctTraces(DATA, CROSSTALK, SCALING) modifies the Traces object DATA
% in place (left hand argument is optional), applying the given CROSSTALK
% and channel... |
function data = read_pfm(filepath)
% read_pfm .pfm Datei auslesen.
% data = read_pfm(path)
% Diese Funktion liest die .pfm Datei unter dem Pfad path aus und
% gibt die enthaltenen Daten als uint8 Matrix (data) zurück.
% Handelt es sich bei der .pfm Datei um ein Farbbild, werden alle
% ... |
% Function to calculate the 3n X 3n (3D) grand mobility matrix M for a
% given configuration R of the n beads. R is a vector of size 2n containing
% the x,y coordinates. The (2*ii - 1)th element is the xcoordinate of the
% ii-th bead
% grand_fric is the (sparse) grand matrix containing the diagonal elements(matrice... |
% THIS FUNCTION IS PRIVATE AND SHOULD NOT BE CALLED BY OUTSIDE CODE!
% Copyright (c) 2012 Howard Hughes Medical Institute.
% All rights reserved.
% Use is subject to Janelia Farm Research Campus Software Copyright 1.1 license terms.
% http://license.janelia.org/license/jfrc_copyright_1_1.html
function [sm] = ChkC... |
%--------------------------------------------------------------------------
%
% Mjday: Modified Julian Date from calendar date and time
%
% Inputs:
% year, month, day, hour, min, sec
%
% output:
% Mjd Modified Julian Date
%
% Last modified: 2018/01/27 M. Mahooti
%
%---------------------------------------------... |
function sexy(s)
%SEXY Display a symbolic expression in human readable form.
% SEXY(S) displays the symbolic expression S in a small figure window,
% using standard mathematical notation.
%
% Examples:
% syms x t positive
% f=taylor(cos(x));
% sexy(f)
% f=int(exp(-t)*t^(x-1),t,0,inf);
% sexy(f)
%... |
function net = pruneEmptyWeights(net)
% Remove empty weights from network structure, leaves numLayerDelays alone
for i=1:net.numLayers
if net.biasConnect(i) && isempty(net.b{i});
net.biasConnect(i) = false;
net.biases{i} = [];
net.b{i} = [];
end
for j=1:net.numInputs
if net.inputConnect(i,j) && i... |
for i = 1:length(CRI_total_vals)
if ~isnan(CRI_total_vals(i))
CRI_all_vals(i) = CRI_total_vals(i);
else
CRI_all_vals(i) = worksheet(i,36);
end
end |
function [fAndg] = getFex(y, para)
%getFex Easy access to the evaluation of the li,ki of the user function
% (meaning f and g of the rungekutta scheme).
%
%INPUT vector y Flat solution of the newton algorithm.
% struct para Internal rungekutta parameter.
%
%OUTPUT matrix f fAndg(i,idxFlatDynamic) = f(l... |
%%1) a)
Hf=tf(2,[50 15 1],'iodelay',3);
%bode(Hf)
Hc=tf([1.08*28.57 1.08],[28.57 0]);
Hd=Hf*Hc;
bode(Hd)
%% b)
Hf=tf(2,[50 15 1],'iodelay',3);
% bode(Hf)
Hc=tf(0.9*[10.54 1],[1.054 1]);
Hd=Hf*Hc;
bode(Hd) |
%% Perform assorted supporting analyses, statistical tests, and ad hoc inspections.
% Not all of these analyses are reported in the associated manuscript; some
% are sanity checks, some are uninteresting.
%
% Analysis code for Simon task MEEG dataset.
%
% Author: Marrit Zuure
% 2019
%% Set paths
dirs = setpaths();
%%... |
function num = freezing(A)
num = sum(A < 32);
end |
clear all ; close all
subs = {'alex','dina','genevieve','jeremie','russell','valerie','tegan'} ;
compinds = {[16,25,14,12,46,64,80],[8,23,2,31,40,41],[18,40,9,15,48,61],[4,21,1,81,84,67],[53,50,14,74,79,80],[17,20,2,41,75,77],[31,33,31,48,50]} ; % fmri
badcomps = {[1,2,3,6,16,20,29,35:44,46:49,51:64],[1,2,4,5,7,10... |
% script to perform various experiments without the GUI
%
% Daan Seynaeve 2016
addpath(genpath('.'))
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
REP = 'path'; % representation
NIND=200; % 50 % Number of individuals
MAXGEN=100; % 100 % Maximum no. of generations
% NVAR=26; %26 % No. o... |
[Q,x,t,cons] = adv(500,0.3,4,1,0.1);
mesh(t,x,Q)
T = [0 90 180 260 360 450 510 630 667];
for i = 1:9
%subplot(3,3,i);
titre = sprintf('Height for T = %f', T(i)*4/(length(t)-1));
%plot(x,Q(:,T(i)+1));axis([0 10 1 1.11]);xlabel('x');title(titre);
end |
function [P,D] = project_cam(w,cv,cx,cy,cz,p)
%Rotation of camera coordinate system - transposed so that we can get
%the points translated
R_T = transpose([cx cy cz]);
%Inverse transformation matrix
L_inv=[R_T (-R_T*cv);zeros(1,3) 1];
%Create transformation matrix object
trans = t... |
function [] = plotResult(Xf, Zv, varargin)
figure(1); clf;
hold on;
nVarargs = length(varargin);
if nVarargs >0
Gt = varargin{1};
% plot ground truth
x = Gt(25:3:end);
y = Gt(26:3:end);
z = Gt(27:3:end);
plot3(x, y, z, 'ro');
end
% plot where I think they should be
x = Xf(25:3:end);
y = Xf(26:3:en... |
clear
clc
close all
out = csvread("Output.csv");
dim1 = out(1)
dim2 = out(2)
dim3 = out(3)
dim4 = out(4)
nums = out(5:end);
dV = zeros(dim1, dim2, dim3, dim4);
count = 1;
for i=1:dim1
for j=1:dim2
for k=1:dim3
for l=1:dim4
ans = nums(count);
i... |
% bisect is a function which determines values of
% W(x) using the bisection method. It is used only as a check on
% the accuracy of wapr.m. This routine is not used directly,
% rather it is called by wapr_test.m
%
% Syntax:
% [b,ner]=bisect(xx,nb,l)
%
% b is the value of W(xx) computed
%
% ner is the error c... |
function plot_path(map, path)
% PLOT_PATH Visualize a path through an environment
% PLOT_PATH(map, path) creates a figure showing a path through the
% environment. path is an N-by-3 matrix where each row corresponds to the
% (x, y, z) coordinates of one point along the path.
% bounds = map{1,7};
% board_bound =... |
function child=crossover(population,seln);
%Crossover operartion
%此处seln只有一组家庭(array)
%返回seln中一对父母的独生子，child（array）
p=size(population,2);
%get the fixed genes
fixedgenes=0;
fixednum=0;
for i=1:p
for j=1:p
if(population(seln(1),i)==population(seln(2),j))
fixednum=fixednum+1;
fixedgene... |
function Rt = SVD_solve_voxel(AIF,Ct,deltaT,method)
% This function solve (Ab=c) using SVD for b, (as shown in the paper of
% Ostergard 1996), for a single voxel.
% A is matrix built from AIF,
% Ct=c=concentration curve at a voxel, method='constant' or 'linear' (assumption on the
% difference between 2 tim... |
% graber for individual fir for heritabylity analysis
clear
%on Peuplier
% path_fir = '/media/database3/twins_study/stability_fir_exp1/stability_group/fir/';
exp = 'exp1c'
path_fir = '/media/database3/twins_study/stability_fir_exp1/glm_fir_dep/fir';
path_fmri = '/media/database3/twins_study/old_exp/fmri_prepr... |
% Berechne Kennzahl aus Kollisionserkennung
%
% Eingabe:
% R
% Matlab-Klasse für zu optimierenden Roboter (SerRob/ParRob)
% X
% Trajektorie im Arbeitsraum (Basis-KS)
% Set
% Einstellungen des Optimierungsalgorithmus (aus cds_settings_defaults.m)
% Structure
% Eigenschaften der Roboterstruktur (aus cds_gen_robo... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% A-weighting Filter %
% with MATLAB Implementation %
% %
% Author: M.Sc. Eng. Hristo Zhivomirov 06/01/14 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function cq=CONSTQ_fft(x, cqkernel, lenwin, noverlap ) % x must be a row vector
% This function calcolate the stft with constant Q division using the implementation
% found in the paper of [Benjamin Blankertz] The Constant Q Transform
% The first two value x and cq kernel are mandatory
% x: the signal to be tra... |
rt = 'I:\Gokul\GDrive\JaneliaSharedwithGokul\ExpansionRelated\Nc82_synapseData';
load([rt filesep 'dataLoad.mat']);
sigma = [1.26, 1.4; 1.4, 1.5];
overwrite = true;
apath =[];
Mode = 'xyzAc';
MinHoleVolume = 50;
FitMixtures = false;
MaxMixtures = 1;
if isempty(apath) % store results locally in cell/Analysis di... |
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