text stringlengths 8 6.12M |
|---|
function newState = createHadamardState(n) %#codegen
qc = qregister(n);
gateArray = zeros(2,2,n);
for qubitNum = 1:n
gateArray(:,:,qubitNum) = standardGates.H;
end
qc = singleQubitGateArray(qc,gateArray);
newReg = qregister(1,0,1,0);
anotherReg = qregister(4,3);
newState = qc.getState();
end
|
function CreateFootSpringMesh_v3
% This file will determine foot spring positions relative to the heel and toe
% markers, which can be used to create a foot ground contact model.
% Must specify
% Wand trace TRC file
% Wand marker names
% Distance from wand tip to each marker on the wand (optional)
% Foot marker... |
function p=addxytrials(p)
p2=segmentpupiltrials(p,0,10,size(p.ConditionMeans,2),0,round(median(p.StimLatencies)),4,1,p.YmCRYn);
p.YmCRYnTrials=p2.PupilTrials;
p.NormedYnTrials=p2.NormedPupTrials;
p2=segmentpupiltrials(p,0,10,size(p.ConditionMeans,2),0,round(median(p.StimLatencies)),4,1,p.XmCRXn);
p.XmCRXnTrials=... |
%--------------------------------------------------------------------------
% LQR_Solution_Costate.m
% Calculates the costate for the LQR problem
% on page 126 of David Benson's PhD thesis
%--------------------------------------------------------------------------
% Contributor: Victor Hakim
%--------------------------... |
%%%%% Optical fiber travel Propagation transmit %%%%%
function dawdz = fiber12(~,aw,~,w,Beta2,Gamma,Dw_g)
at = fft(aw);
g = 0.62; % constant
c=(0.5*1i)*Beta2.*(w.^2).*aw;
d=-(0.5*g./(Dw_g)^2).*(w.^2).*aw;
dawdz=c(end)+d(end)+g.*aw+ifft(+1i*Gamma*(abs(at)).^2.*at);
end |
function [AnimationTextures, frameToTrialMatrix]= AnimateNoisyGabor(AnimationTextures, gaborMatrix, noiseMatrix, crossLength, crossWidth, frameToTrialMatrix, trial, coherence, duration, ifi, window)
%AnimateNoisyGabor2 takes a 2D gabor pixel matrix and animates it embedded in noise. Provide pixel value matrices for noi... |
clear all;
% Compare the Normalized Accumulated Distance
root = 'D:\Corpus\GMU\output3\OutputCost';
kind = {
'N1W180R0S0EdN1'
'N3W180R0S0EdN1'
'N4W180R0S0EdN1'
'N5W180R0S0EdN1'};
refname = 'english]english10.female.N_english.R_usa.Y35.A35';
for k = 1:length(kind)
allfiles = dir(fullfile(root, kind{k}, refname, ... |
classdef CE5071C < handle
%CE5071C 此处显示有关此类的摘要
%lt 2018.11.20 v1.01
properties
fs;
end
methods
function obj = CE5071C(address)
obj.fs = instrfind('Type', 'visa-tcpip', 'RsrcName', address, 'Tag', '');
obj.fs=visa('AGILENT',address);
... |
function dat = handle_classes(raw)
uniques = unique(raw);
uniques
size_of_uniques = length(uniques);
idx = 0;
dat = zeros(1,length(raw));
for i = 1:size_of_uniques
for j = 1:length(raw)
if strcmp(raw(j),uniques(i))==1
dat(j) = idx;
end
end
idx = idx + 1;
end |
%
% kincontrol3linkfunc.m
% ode function for kincontrol3link.m
%
function xdot=kincontrol3linkfunc(t,x,dummy,l1,l2,l3,c,r,xd,Kp,gamma)
s1=sin(x(1));c1=cos(x(1));
s12=sin(x(1)+x(2));c12=cos(x(1)+x(2));
s123=sin(x(1)+x(2)+x(3));c123=cos(x(1)+x(2)+x(3));
% JT
J=[1 1 1; -l1*s1-l2*s12-l3*s123 -l2*... |
%***********************************************************%
% INPUT:
% DB = price data series
% Asset = intial trading account asset
%***********************************************************%
% OUTPUT:
% Asset = new trading account asset
%***********************************************************%
function Ass... |
% store every settings given in settings.ini
classdef Settings_
properties
List % list of detected settings
RASVar % Cell Array of RAS variables choosed by user
XSlist % Cell Array of XS choosed by user
end
methods
function obj = initVar(obj,rp)
%... |
classdef SparseMatrixStructure2d < SWEPreBlanaced2d
%SPARSEMATRIXSTRUCTURE2D 此处显示有关此类的摘要
% 此处显示详细说明
properties
SMSFile = 'Application\SWE\SWE2d\Benchmark\@SparseMatrixStructure2d\fort.14'
end
methods
function obj = SparseMatrixStructure2d( N )
obj = obj@SWEPreBlana... |
clear a b c
for si=1:10
a(si)=(A1csERD{si}(2).out.tpr.dec(end,51)+(1-A1csERD{si}(2).out.fpr.dec(end,51)))/2;
b(si)=(A2csERD{si}(2).out.tpr.dec(end,51)+(1-A2csERD{si}(2).out.fpr.dec(end,51)))/2;
c(si)=(A3csERD{si}(2).out.tpr.dec(end,51)+(1-A3csERD{si}(2).out.fpr.dec(end,51)))/2;
a(end+1)=mean(a);
... |
%Read the first image
Original_Image=imread('C:\NYU_SEM_2\Computer Vision\Assignment 2\Straight.jpg');
imshow(Original_Image);
%select the 6 definite boundary points in the image
[X_Original,Y_Original]=ginput(6)
%Read the second image
Shifted_Image=imread('C:\NYU_SEM_2\Computer Vision\Assignment 2\Shift.jpg');
imshow(... |
% this function stimulates one retrograde step
function[New_position]=JIP1_Motility(Current_position, retrogade_step)
if Current_position >0;
New_position = Current_position - retrogade_step; %um
else
New_position = Current_position;
end
end
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Numerische Mathematik fuer Physik und Ingenieurwissenschaften 2018 %%%
%% Programmierabgaben (Praktischer Teil des Uebungungsplattes) %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
... |
function[Accuracy] = computeAccuracyBR()
%%
% fprintf('Reading data...; ');
data = readtable('datasetBR.csv');
m = round(0.9*size(data,1));
idx = randperm(size(data,1))';
xT1 = table2array(data(idx(1:m),1:end-2));
temp = char(table2array(data(idx(1:m),end-1)));
xt1 = str2num(temp(:,1:4));
xTrain = [xT1, xt1];
yTrain =... |
%function takes in one or more lines of text, outputs that text in all caps
function [] = python_q9(varargin)
if(isempty(varargin))
fname = 'sample.txt';
else
fname = varargin{1};
end
T = readtable(fname,'HeaderLines',0,'ReadVariableNames',false,'Delimiter','\n');
S = T.Va... |
function [ eles ] = queryElevationPointsFromUsgs(lats, lons, language)
%QUERYELEVATIONPOINTSFROMUSGS Querry elevation data for input locations via
%the National Map - Elevation Point Query Service.
%
% More information can be found at https://nationalmap.gov/epqs/
%
% Inputs:
% - lats, lons
% Column vectors for t... |
classdef PoissonProblem
properties
% right hand side
f = @(x,y) 0*x + 0*y
% boundary: left, right, bottom, up
lb = 0
rb = 1
bb = 0
ub = 1
% boundary condition
lf = @(y) 0*y
rf = @(y) 0*y
bf = @(x) 0*x
uf = @... |
function[Treat]=ExtractTailH(frame)
Treat=frame;
[~, t0] = edge(Treat, 'sobel');
fudgeFactor = .7;
Treat = edge(Treat,'sobel', t0 * fudgeFactor);
se90 = strel('line', 3, 90);
se0 = strel('line', 3, 0);
Treat = imdilate(Treat, [se90 se0]);
Treat = imfill(Treat, 'holes');
Treat = bwareaopen(Treat,500);
en... |
clearvars; close all; clc;
load('DEM_NSW.mat');
gps = [home_pos.lon,home_pos.lat];
[~,idx] = min(abs(gps(1)-xg(1,:)));
[~,idy] = min(abs(gps(2)-yg(:,1)));
elevation = zg(idx,idy);
addpath('../GPS');
A = Calculate_GPS_distance_vect(home_pos,yg(:,1)',xg(1,:));
top_left = Calculate_Next_GPS_Mat(home_pos,[-505;505]);
bo... |
clc, clear, close all
I = imread('issimple2_demo.png');
I = double(I);
I = I(:,:,1); I = 1-I/max(I(:));
% Create a 3-slice volume with the image in the middle slice
V = zeros(size(I, 1), size(I, 2), 3);
V(:, :, 2) = I;
figure;
imagesc(I)
colormap gray
axis off
axis square
hold on
tic;
for i=find( V==1 )'
if issim... |
### Skript für die Vorwärtssubstitution einer LR zerlegten Matrix A mit rk(A) = n ###
function y = forward_solve(LR, b)
### Rang der Matrix LR ###
n = length(sum(LR));
### Erstes Element des Lösungsvektors elementar berechnen ###
y(1) = b(1);
for i = 2:1:n
y(i) = b(i) - sum(LR(i, 1:(i - 1)) .* y(1... |
function bmp_batch;
%have user select multiple images and apply bmp_blend
T1 = spm_select(inf,'^*.png$','Select images that were used for normalization');
for i=1:size(T1,1), %repeat for each image the user selected
[p,n,x] = spm_fileparts(deblank(T1(i,:)));
a = fullfile(p, [n x]);
b = fullfile(p, ['a' n ... |
function [] = WriteDuct(Duct,varargin)
if ((nargin == 1) || isempty(varargin))
FileName = [Duct.Name,'_CVH-FL_Model.inp'];
else
FileName = varargin{1};
end
FileID = fopen(FileName,'w');
WriteCVHComponent(Duct,FileID) ;
WriteSpacer (FileID) ;
WriteFLComponent (Duct,FileID) ;
fclose(FileID);
... |
function [chiEffectiveAligned] = calculateChiEffectiveAlignedSpins(M1,chi1,M2,chi2)
% Effective spin calculation
% m1,2: masses
% a1,2: dimensionless effective spins aligned with the orbit
% Following Vigna-Gomez+2020b (eq. 5):
% M1 = M_{BBH,in}, chi1 = \chi_{BBH,in}
% M2 = M_{BH,3}, chi2 = \chi_{BH,3}
chiEffectiveAli... |
timeperiod=[1000 4000];
labels={'1sec'};
nomove='NO1';
immove='IM1';
ammove='AM1';
n_con_ex=6;
clear dm Res_in Res_out
code_louk_2_gen
gzers1=ztype;
gsR1o=Res_out;
gsR1i=Res_in;
timeperiod=[3000 6000];
labels={'3sec'};
nomove='NO3';
immove='IM3';
ammove='AM3';
n_con_ex=4;
clear dm Res_in Res_out
code_louk_2_gen
gzers... |
%% EECE 574 Self-tuning
%% Author: Holguer A. Becerra
%% assignment 1.
%% Professor: Guy Dummont.
%% RLS
clear
clc
load data2017.mat
u=data(:,1); %System Input
y=data(:,2); %System Output
n=4;% system order
m=length(u);
error=0;
error_n=1;
theta=zeros(1,2*n)'; % create a zero vector for the coefficients a and b, 2 ... |
# Upon considering all the bigrams in the corpus of Leo Tolstoy work including letters, one found the following contingency table for bigram "snow falling";
# the first columns corresponds to bigrams in which "snow" is the first word,
# the first row corresponds to bigrams in which "falling" is the second word.
#
# ... |
%% IA 856 Controle Linear Quadratico Gaussiano Ex.1
clear all,close all,clc
% Criacao das variaveis:
syms d, syms f, syms q, syms x0, syms x1, syms x2
syms a % alpha
syms b % beta
% gerando S(j):
s2 = q; % S(2)
A = (a*s2*b + d*f); % A,B,C apenas para organizar S(1)
B = (b*s2*b + f*f)^(-1);
C = (b... |
%
% 模型为60类的训练模型--11个view-多multi
%
% 保存特征到文件夹的版本
% 选择不同层的特征+PCA+进行liblinear实验
%
clc
clear
run(fullfile('F:\chenjun\dynamic','matconvnet-1.0-beta23\matconvnet-1.0-beta23', 'matlab', 'vl_setupnn.m')) ;
net_view1 = dagnn.DagNN.loadobj(load('F:\chenjun\dynamic\exp\uwa_multi_view112\net-deployed-view1.mat')) ;
net_view1... |
%exercise 39
tic
for i = 1:1000
for j = 1:4
if j ==1
resultat = 11;
elseif j == 2
resultat = 22;
elseif j == 3
resultat = 46;
else
resultat =6;
end
end
end
toc
clear all
tic
for i = 1:1000
for j=1:4
switch j
ca... |
function array = selectionSort(array)
arraySize = numel(array);
for i = (1:arraySize-1)
min = array(i);
minIndex = i;
for j = (i:arraySize)
if array(j) <= min
min = array(j);
minIndex = j;
end
end
i... |
close all
clear variables
clc
%% Notes
% No need to use k-means to determine the center mu of each RBF
%% Variables and parameters
% System physic parameters
h = 1; % Max height of the mountain [m]
L = 4; % Length of the valley
m = 1; % [kg]
g = 9.81; % Gravity acceleration [m/s^2]
maximumVelocity = sqrt(2 * g * h); ... |
function OnRegisterRead_console(src,evtdata)
regAddressString = char(evtdata.regAddress);
regAddressInt32 = cast(evtdata.regAddress, 'int32');
regValueInt8 = int8(evtdata.regValue);
if (evtdata.success)
fprintf(' MAX30101.RegRead(0x%2.2x %s, 0x%2.2x);\n', ...
regAddressInt32, regAddressString, regValueInt8... |
function SP = simPerformance(T,trial,models,sim_length,n_sample)
if nargin < 3
models = 1:5;
end
if nargin < 4
sim_length = [5 10 20 50 100 200];
end
if nargin < 5
n_sample = 100;
end
SP.models = models;
SP.sim_length = sim_length;
n_t = size(T.D.X_dot,2);
n_m = length(models);
n_sl ... |
function [] = color( phi)
%phi is function handler,i.e., phi = @(z) z^3+1
%returns the RGB triplet for divergent orbit
%if convergent, black
count = 1;
M = zeros(200);
for x = 1:400
for y = 1:400
z = 0.01*(x-1)-2 - 0.01i*(y-1) + 2i;
count = 1;
bounded = false;
while abs(z) ... |
function [Vxc,Exc,rhoInt] = int_xc(basis,P,grid,ExchFunctional,CorrFunctional)
% [Vxc,Exc,rhoInt] = int_xc(basis,P,grid,ExchFunctional,CorrFunctional)
%
% Input:
% basis list of M basis functions
% P MxM density matrix
% grid molecular integration grid, as obtained by molecular... |
% top level for tile based rasterizer v 2.0
% color buffer resolution is assumed to be 320x240 pixels
% assuming tile size of 16x16 pixels
% so we have 20x15 tiles (300 tiles)
% depth testing is supported
clear;
% screen dimentions (x and y) used
% Matlab understand 2d matrices as (rows, columns) >> (y_coord, x_coor... |
function tracks_in_shot = read_tracks_via_shots(VideoStruct, Tracks)
%READ_TRACKS_VIA_SHOTS Returns a list of track indices per shot
% Uses the same index as the "Tracks"
%
% Author: Makarand Tapaswi
% Last modified: 10-05-2013
[ShotStartEnd, ShotType] = videoevents_to_shots(VideoStruct);
num_shots = size(ShotStartEn... |
function metric = tensor_distance(X,Y,channel_idx,trial_idx,method)
if nargin<5
method='eucl';
end
flag=0;
if norm(X(1,:,1))==0
flag=1;
end
if strcmp(method,'eucl')
for i=1:size(X,trial_idx)
x=X(:,:,i);
y=Y(:,:,i);
for ch=1:size(X,channel_idx)
if flag==0
x(ch,:)=x(ch,:)/nor... |
function BoltCalcs(hipWeightOfPartsLeft, hipWeightOfPartsRight, thighWeightOfPartsLeft, thighWeightOfPartsRight, ...
shankWeightOfPartsLeft, shankWeightOfPartsRight)
%% Determining Tensile Stress of the Thread
% Determing At allows for the proper selection of screws
% Screw selection is based on tab... |
function k_means = UpdateMeans(im_array, k, clusters)
% UpdateMeans returns the mean RGB values for each of 'k' clusters
% Input(s): im_array = a 3D array containing 3 layers
% k = a scalar specifying how many clusters
% = there are
... |
classdef enumSWEFriction < int8
enumeration
None (1)
Linear (2)
Quadric (4)
Manning (3)
end
end
|
clear;
trainDir='../../train/tone_nodynamic_diag/sad/3mix6mix_3';
gmmFile=[trainDir '/neutral_sad.tone.gmm'];
trainFile=[trainDir '/neutral_sad.tone_ar'];
l=16;
mixNum=6;
order=0;
vfloor=0.01;
%% read gmm model
gmmP=importdata(gmmFile);
w=gmmP(1:mixNum);
miux=zeros(l/2,mixNum);
miuy=zeros(l/2,mixNum);
... |
function S = imstack(I, J)
% Resize an image J to the dimensions of I, and stack concatenate it to I.
% Note that this function can be called repeatedly to generate a stack of
% grayscale image with the dimesions of (w, h, n), where w and h are the width
% and height of the first image, and n is the number of stacked i... |
Met de help functie kan je alleen zien wat de input variabelen
zijn van een standaard Matlab functie en niet de
output variabelen. |
clc, clear;
A = zeros( 10,10 );
A( 6,5 ) = 1;
A( 7,10 ) = 1;
[x,y] = max2( A ); |
clc;
clear;
close all;
figure
hold on
linsty = { '-', '--', '-.', ':' } ;
for i = 5 : 6
x = 0 : 0.01 : i ;
y = x ;
for j = 1 : i
y = y .* ( x - j ) ;
end
plot( x, y, strcat( 'k', linsty{ i - 4 } ) ) ;
end
axis( [0, 6, -100, 100] ) ;
legend( 'n = 5', 'n = 6', 'Location', 'SouthWest' ) ;
|
function [ cv ] = util_calc_cv( vector )
%UTIL_CALC_CV Get the coefficient of variation of the given vector.
% Input:
% vector: Given vector;
% Output:
% cv: The ratio of the standard deviation to the mean.
%
% Comparison to standard deviation [wiki]
% * Advantages:
% ... |
%% fn_saveasciimatrix
%% Syntax
% fn_saveasciimatrix(a[,filename])
%% Description
% Save matrix in text file
%
% See also fn_readasciimatrix, fn_readdatlabview, fn_savebin, fn_savetext
%% Source
% Thomas Deneux
%
% Copyright 2005-2012
%
|
% Classifier tool
net = patternnet(1, 'performFcn', 'mse');
net.divideFcn = 'divideind';
net.divideParam.trainInd = trainin;
net.divideParam.valInd = valin;
net.divideParam.testInd = testin;
[net,tr] = train(net, NeuralDataValues, NeuralDataClass);
% Use this to combinew all the data into one data set
% for i... |
function inrange = anginrange(a, lo,hi)
if (mod(lo - hi,2*pi) == pi)
warning('Results may be undefined for range = pi');
end
Clo = cos(lo);
Slo = sin(lo);
Chi = cos(hi);
Shi = sin(hi);
C = cos(a);
S = sin(a);
locrosshi = Clo .* Shi - Slo .* Chi;
locrossa = Clo .* S - Slo .* C;
acrosshi = C .* Shi - S .* Chi;
... |
% ==================================================================%
% Copyright (c) General Electric Company. All rights reserved.
%
% This code is only made available outside the General Electric Company
% pursuant to a signed Research Agreement between the Company and the
% institution to which the code is made ava... |
function [a,b,Smat,ll,Gamma0] = DCCestimate(resid,initvec,S,Gamma0)
% C D
bound.lo = [0.001 0 ];
bound.hi = [1-(1e-04) 1-(1e-04) ];
bound.which = [1 1 ];
if isempty(initvec), initvec=[0.05 0.93]; end
if isempty(S), S=corr(resid); end
S = Sy... |
addpath('./MatlabTools/')
addpath('../')
% load(['../results/', num2str(nr_arms),'lightbulb_problem.mat'])
states = nlightbulb_mdp.states;
nr_states=size(states,1)-1;
S=states(1:nr_states,:);
nr_arms = size(states(1,:),2)/2;
nr_observations=sum(states,2)-2*nr_arms;
max_nr_observations=max(nr_observations);
% valid... |
function this = round(this, varargin)
% round Round tseries values to specified number of decimals.
%
% Syntax
% =======
%
% X = round(X)
% X = round(X, Dec)
% X = round(X, Dec, 'significant')
%
%
% Input arguments
% ================
%
% * `X` [ tseries ] - Tseries object whose data will be r... |
global last_diagnose
read_parameters;
generate_constants(height, radius, dx, dz, nx, nz, dt, ...
rdif, dif_perp_in, dif_perp_out, dif_z_in, dif_z_out, ...
rconduct, conduct_z_in, conduct_z_out, viscosity, ...
den_damp, momentum_damp, Te_tanhsrc_max, Te_tanhsrc_radius, ...
Te_tanhsrc_incline, Te_gausssrc_magnitude... |
%% Stelling 18
%
% De OR-operator geeft bij twee logische nullen
% (de operands) een logische 1 terug.
%
Antwoord = 0;
|
close all;
t_0 = 33; % Must be >= qc_length (causal matched filter) ?
D = 9;
% random bits
Nbits = 1e4;
bits = round(rand(Nbits, 1));
bits(1:500) = ones(500, 1);
bits(501:1000) = zeros(500, 1);
SNR_target = 11; %lin. scale
[r_c, s_c, w, sigma2_a, N0] = transmit_bits(bits, SNR_target, t_0 + D*4, 'zeronoise'); % ad... |
Een for-lus gebruik je als je weet hoe vaak je iets kunt
herhalen. |
function [ essentialMatrix,score_max ] = EstimateEwithRANSAC( pointsImg1, pointsImg2, calibrationMatrix )
% RANSAC-based estimation of the Essential matrix.
% pointsImg1: Matrix containing homogeneous points from the first
% image. (One point per column!)
% pointsImg2: Matrix containing homogeneous points from the ... |
close all
clear variables
clc
rng(55);
%% XOR
bias = -1; % Fixed value setted permanently to -1
dataset = [0,0,bias; 0,1,bias; 1,0,bias; 1,1,bias]; % Input dataset (u)
row = length(dataset);
column = length(dataset(1,:));
output = [0, 1, 1, 0]; % Output value(v: it's known cause it's a supervised learning problem)
%% ... |
function[x, uu, tt] = FEs_ks(N, m, Tf)
% This functions solves the PDE
% u_t = uu_x - u_{xx} - u_{xxxx}, x \in (0, 32*pi)
% u(x, 0) = cos(x/16)*(1 + sin(x/16))
% and periodic boundary conditions with Fourier spectral in space and FE in
% time.
%
% Key features:
% + 4th order stiff term
% + Kuramoto-Sivashin... |
% SAMPLE9.M - Visual presentation synchronised with incoming serial bytes.
config_display(1)
config_log;
config_serial(1);
start_cogent;
% Draw fixation point in display buffer 2
preparestring( '.', 1 );
loadpict('ralf.bmp',2);
% Clear serial bytes buffer
clearserialbytes(1);
% Repeat the following stimulus 10 time... |
function dumpDBN(bnet,fileName,header)
NVARS = size(bnet.dag,1);
dlmwrite(fileName,header);
dlmwrite(fileName,bnet.dag,'-append');
eclass = reshape(bnet.equiv_class,1,[]);
node_sizes = reshape(bnet.node_sizes,1,[]);
dlmwrite(fileName,node_sizes,'-append');
for i = 1:NVARS
a = struct(bnet.CPD{eclass(i)});
f... |
function [xp, P, h] = mapToCircle(x, label, fig)
if ~exist('fig', 'var')
fig = 0;
end
% assume it's zero mean already coming ing
% apply a zero mean formula first and see
% x(:, 1) = x(:, 1) - mean(x(:, 1));
% x(:, 2) = x(:, 2) - mean(x(:, 2));
% ellipsePartStruct = fit_ellipse(x(:, 1), x(:, 2));
% x(:, 1) = x(... |
% A = [1.5, 15; 9, 2; 1.5, 2; 2.5, 4];
% b = [350, 240, 80, 150];
% c = [-1100, -10600];
%A = [10, 6, 15, 22, 17, 14];
%b = 39;
%c = [-52, -27, -50, -60, -31, -11];
A = [30 20; 10 20; 20 0; 0 30];
b = [120 85 62 105]; %orizzontale
c = [8 11]; %orizzontale
GomoryCut(c, A, b);
function GomoryCut(fun, ... |
function fluxRampOnOff(frEnable)
%% Simple function for turning the flux ramp on or off. Default is to switch
root=getSMuRFenv('SMURF_EPICS_ROOT');
rootPath=strcat(root,':AMCc:FpgaTopLevel:AppTop:AppCore:');
rtmRootPath = strcat(rootPath,'RtmCryoDet:');
rtmSpiRootPath = strcat(rtmRootPath,'RtmSpiSr:');
% read curre... |
% test solver for complex BP
clc;
clear;
close all;
format long;
opts.nonorth = 1;
n = 40;
m = floor(n/4);
k = floor(m/2);
fprintf('\nSize [n,m,k] = [%i,%i,%i]\n',n,m,k);
xsize = [n n];
N = prod(xsize);
% generate xs of sparse signal
xs = zeros(N,1);
p = randperm(N);
p = p(1:k);
xs(p) = randn(k,1) + 1i*randn(k,1)... |
function [params,paramsmap] = getDKImap(mainDir,patientname,x,y,z,A,normdecay,b)
% A---the size of orginal 3D images
% x,y,z---the remembered coordinates of original 3D images
% b--- b values;
% mainDir and patientname are the dictionary to save IVIM
% normdecay&onormdecay---onormdecay is the original decay data w... |
function [MTRasym, freq_offsets] = MTRasym2(obj, freq_max, freq_step, w1, sat_time, pH, catalyst, pK_donor, concentration, pK_acceptor)
freq_offsets = -freq_max:freq_step:freq_max;
PI = obj.ZSpec2(freq_offsets, w1, sat_time, pH, catalyst, pK_donor, concentration, pK_acceptor);
MTRasym = flipud(PI) - PI;
end |
function d = collision_check(x0, x1, x2, r)
global numLink
d = -1 * ones(1,numLink);
x12 = x1 - x2;
x20 = bsxfun(@minus, x2, x0);
x10 = bsxfun(@minus, x1, x0);
dist2link = sqrt(sum(cross(x12, x20).^2)) ./ sqrt(sum(x12.^2)); % colomn-wise norm
dist2x1 = sqrt(sum(x10.^2));
dist2x... |
clear all
close all
clc
format long
%N=100
M=2; N=4
A=[zeros(1,N-1) 0; eye(N-1) zeros(N-1,1)]; % stem
N=length(A);
I=eye(N);
I1=eye(M);
% B=rand(N,M);
% B=orth(B);
B=I(:,1:M)
%B=[-0.666549601221895,0.258757856602330;-0.529674783868792,-0.240268472171118;-0.300205473874438,0.714625909757013;-0.430154537230... |
function assignIC(N)
% import the globally-scoped numerical solution u_h at previous time-step
global u_h_prev_t;
% import all the boundary functions on the borders of the domain
global initial_condition;
% import geometrical properties of the mesh
global nodes;
% loop over the nodes and in... |
addpath('model');
addpath('model/przyblizeniaLiniowe');
addpath('model/macierze');
addpath('model/macierze/G');
addpath('model/warianty');
Stale();
genModel0000Lin();
genModel1111Lin();
[theta, ur] = planowanieRuchu(ones(1,2000),5);
% generowanie wykresu bledow
nt = length(theta);
err = zeros(1,nt);
for i=1:nt
u... |
function C = read_csv(file_location)
% Read data from csv
C = table2cell(readtable(file_location));
% Remove empty rows
to_del = [];
% Find the empty rows that we need to delete and delete them
for i = 1:size(C, 1)
row = C(i,:);
if strcmp(row{1},'')
to_del = [i, to_del];
end
end
for i = 1:size(to_de... |
function [lzc, maxwords, maxlength] = LZc2(s)
% LZC computes the complexity measure, LZc, of a given string, s,
% consisting of of 1's and 0's. Complexity is given as the length of the
% estimated codebook. Translated from python code supplied for [1]. The
% function has been optimised wrt. the lookups in the codeb... |
% This script file calculates and plots the surface charge of a grounded
% sphere, induced by a single charge in the vicinity. The unit is q/(4 pi
% a2)...a is the radius of the sphere
clear
gamma=linspace(-180,180)*pi/180; % angle between charge and observer
a=1;
x=[2,4,6,8]; % distance of sphere
for(... |
%converts pub_rec_bankruptcies because it got imported as a string (for no
%obvious reason)
function out = pubRecBank(pub_rec_bankruptcies)
u = unique(pub_rec_bankruptcies(~isnan(pub_rec_bankruptcies)));
out = nan(size(pub_rec_bankruptcies));
for o = 1:length(u),
out(pub_rec_bankruptcies==u(o)) = u(o);
end
|
% ASEN 2003 - Lab 6 - Control Theory with Rotary Position
% 4/17/2019 - Group 5 - Jashan Chopra, Aiden Wilson, Hugo Stetz, Adam
% Elsayed
%{
This is the main script for the ASEN2003 Dynamics Lab #6
Function Goals
1) develop a MATLAB simulation of the closed loop behavior of the rigid arm ( Eq. 17 )
2) deter... |
% Feed in patient data and desired amount of rest, and it chops off unneeded time
% Returns data without unneeded time
function [newdata] = TimeCut(data, restTime)
%% Calculate times
% Calculate available time at start and end of maneuver
timeAvailableS = data.val_start - data.Tdata(1);
timeAvailable... |
function [ret] = pif(bool, iftrue, iffalse)
%% Script pif
%
% file: pif.m
% author: Peter Polcz <ppolcz@gmail.com>
%
% Created on 2017. August 25.
%
%%
if isscalar(iftrue)
ret = iftrue(ones(size(bool)));
else
assert(all(size(bool) == size(iftrue)), 'Size of the arguments must match')
ret = iffals... |
function [hspace_mat] = gen_channel_model(a_n, flags)
% Generate the channel model (h(n)) based on the a_n(beamforming), the
% channel model also takes into consideration of the MPC
lamda = 3e8 / flags.f_c; %wavelength of the carrier
hspace_mat = zeros(flags.N_line,flags.N_line,flags.N_line,flags.tap_max);
% iterate... |
function [this, data, B, count] = myidentify(this, data, opt)
% myidentify Convert reduced-form VAR to structural VAR.
%
% Backend IRIS function.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
%-----------------------------------------------------... |
clear;clc;
Data = csvread('Q2train.csv');
t = Data(:,1);
h = Data(:,2);
d = Data(:,3);
plot(t,h,"ro-");
hold on;
plot(t,d,"b*-");
legend("h","d");
xlabel("measurement time");ylabel("measurement component"); title("Measurement Display"); |
% GPLVMBRENDANAVI Make AVI files of faces data.
% load data
load frey_rawface.mat
Y = double(ff)';
meanData = mean(Y);
Y = Y - repmat(meanData, size(Y, 1), 1);
load gplvmBrendan1D.mat
[K, invK] = computeKernel(X(activeSet, :), theta);
% Visualise the results
M = gplvmmakeavi1D(X, Y, invK, theta, [], meanData, ac... |
% using Meakin 2013 formulation for BIR-8 pulses
% units are seconds, cm, radians, Gauss
% this version is trying to simplify to BIR 4
clear all
close all
Npoints = 100;
Tseg = 2e-3; % seconds
Npoints = Tseg/8e-6;
t=linspace(0,Tseg,Npoints);
zeta = 15;
kappa = atan(60); % 1.5541;
tankappa = 60;
wmax = 0.389e3 *2*pi; ... |
Fs=30000; min_freq=2000; max_freq=12000; dur=1;
% make a white noise base signal
% [X,Xtime] = whnoise(min_freq,max_freq,Fs,dur);
nTAPS=256;
% snd=Xtime;
% make a gammatone
% [coefs]=makeGammaFIR(Fs,6000,'owl');
% snd=rand(1,Fs*dur);
% snd=filtfilt(coefs,1,snd);
% snd=snd./max(abs(snd));
%t=0:(1/Fs):dur;
%snd=sin(2*pi... |
function [ errs ] = plot_err (psi, noise, func)
% psi is the third euler angle, which is held constant as the others vary.
% noise is the percentage of noise added to G an H
% func is a handle for the function used to convert G, H to rot
% examples:
% test direct.m, which computes euler angles directly
% plot_err(pi,... |
%有nan的行就删除
%输入,需要去nan的矩阵或列(一行中只要有一个nan,这一行就被去除了)
%输出,去除之后的矩阵或列,以及去除的索引(为1则要去)
function [ind ret]=nan_del(mm)
[m n]=size(mm);
ind=zeros(m,1);
if isa(mm,'double')
inds=arrayfun(@isnan,mm);
ind=sum(inds,2);
elseif isa(mm,'cell')
for i=1:m
for j=1:n
if sum... |
clear;
close all;
const;
Tp_w = 0.1 : 0.1 : 1;
for Tp = Tp_w
system = ss(A, B, C, D, Tp); %%system space dyskretny
Gz = tf(system); %%liczenie transmitancji dyskretnej
system_continous = d2c(system); %%liczenie state space'a ciaglego
Ac = system_continous.A;
Bc = system_continous.B;
Cc = sys... |
function frames = vec2varframes(audiodata, OnsetIndex, WinParam)
% Index for Voice onset and offset -- -asymmetric window requires the knowledge of onset and offset index values
% for transition (low -> high, high -> low)
%
% See AsymWindowsInExcel.xls
%
% Length of Voiced Duration : L
% (if Length(W1) = 120... |
% Input: manually labeled binary tif
% Output: skeleton points in .mat format by using segworm
%
%% add path of segworm algorithms
segworm_path = 'C:\Kezhi\WormTrackingSoftware\SegWorm-master\SegWorm-master';
addpath(genpath([segworm_path,'.']));
% current path and folder
folder = 'skeleton_segworm\';
path_from = [... |
clc, clear, close;
set(0,'DefaultFigureWindowStyle','docked');
addpath(genpath(pwd));
% --------------------------------- run metaheuristcs --------------------%
load field
field.drawField({1, 1, 1});
fitnessFn = field.fitnessFn;
initial_soln = rand(1, fitnessFn.hSize);
field.drawNewPath(initial_soln)
solutions = ... |
function [ ] = Graph1( Hzp,L,Tp,Sp )
%GRAPH1 Di seguito verranno stampanti a video tutti i grafici che possono
% ritornare utili. I grafici utili al progetto a tempo continuo usano il
% tratto VERDE.
% Bode Chart di L
figure,bode(Hzp,'g')
title('Diagramma di Bode di L')
grid on
% Asintotic ... |
classdef SpacecraftCapsule < Spacecraft
methods
function self = SpacecraftCapsule(data)
self@Spacecraft(data);
% In capsules, characteristic length = diameter
% and, therefore, the reference area is:
self.S = pi * self.L^2 / 4;
end
end
end
|
% Group-Sparse Regression on 1d ODE with multi-data
% xdot = alpha*x*(1-x),
% where alpha is the bifurcation parameter.
% Output: the probability of recovering correct terms and the relative error ranges
% Copyright: Hayden Schaeffer, Giang Tran, Rachel Ward
% More information can be found at:
% H. Schaeffer... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.