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#!/usr/bin/octave
%x=linspace(-2*pi,2*pi,100);
[x,y]=meshgrid([-2*pi:2*pi:100],[-2*pi:2*pi:100]);
z=x-x
for i=[0:1000]
z=sin(y)*sin(x)
surf(x,y,z);
axis([0 1 0 1 -4 4]);
shading interp;
plot(x,y,z);
sleep(0.01);
end
|
function [ output_args ] = plotbarra( P1,P2,P3,P4)
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
%dibujar barras
plot([P1(1);P2(1)],[P1(2);P2(2)])
hold on;
plot([P2(1);P3(1)],[P2(2);P3(2)])
plot([P3(1);P4(1)],[P3(2);P4(2)])
hold on
%dibujar puntos
plot(P1(1),P1(2),'o')
plot(P2(... |
clc; clear all; close all;
run('init.m')
load('scope_data_exp1_2');
figure
subplot(1,3,1);
plot(scope_data(1,:), scope_data(6, :), 'LineWidth', 2)
title('Elevation')
xlabel('Time [s]')
ylabel('Angle [deg]')
grid on
subplot(1,3,2)
plot(scope_data(1,:), scope_data(4, :), 'r', 'LineWidth', 2)
title('Pitch')
xlabel('Tim... |
function [] = shift_axes(ax, dx, dy)
%% function [] = shift_axes(ax , dx, dy)
% this function shifts a given set of axes ax
% by dx and dy
for i = 1:prod(size(ax))
set(ax(i), 'Position', get(ax(i), 'Position') + [dx dy 0 0] );
end
|
global fonttype
global fontsize
load('rawMaterial\result_N400_OLin.mat')
prm.model = '3dof'; prm.loiter = true; prm.correctChi = true;
prm.p = 1;
trajData = getTrajData(Z, N, prm);
d = 3;
finalFE = spectralMethodGen(trajData, @jac3DoF, d);
prm.correctChi = false;
trajData = getTrajData(Z, N, prm);
N = linspace(40, ... |
%% mainPassive
% is a simple solver for the transport of a passive scalar (enthalpy,
% mass-fraction, momentum component in third direction, ...) in 2D
% (C) Andreas Kempf, 21.5.2013, code for "Numerics and Fluid Flow Simulation"
% course at the University of Duisburg-Essen
%% Preparation
clc; clear; hold off;
%%... |
function [mean] = Average(DATA, t_begin, t_end)
% This is perting C++ code of B and O (2010), FDR paper
% Detailed explanation goes here
mu=0;
for t=t_begin:t_end
mu=mu+DATA(t);
mean=mu/(t_end-t_begin+1);
end
end
|
function [] = checkMultiModal3Cost()
% Check the gradients for the stacked autoencoder
%
% In general, we recommend that the creation of such files for checking
% gradients when you write new cost functions.
%
%% Setup random data / small model
% inputSize = 4;
% hiddenSize = 5;
% lambda = 0.01;
% data ... |
function [result, features] = classify(im, models)
global SUBIMAGE_SIZE
global VERBOSE
global THRESHOLD
global FIG_SUBIMAGE
global FIG_HIST
features = [struct('min_diff', {}, 'matching_subimages', {}, 'sum_diff', {})];
for k = 1 : length(models)
features(k).min_diff = -1;
... |
function [bincenters,averages,errors]=bincumulative(x,y,min,max,oversamplingratio,nbins,varargin)
binwidth=(max-min)/nbins;
binedges=linspace(min,max,nbins+1);
bincenters=min+binwidth/2:binwidth:max-binwidth/2;
averages=NaN(1,nbins);
errors=NaN(1,nbins);
if nargin==6
for i=1:nbins
averages(i)=nanmean(y(x>... |
function [x, y]=Heun(func, y_init, x_init, x_end, nstep)
% Written By Ali Al-Alawi August 2013
% Student ID: 23393262
% Matlab Function of the Heun Method
% func: the ODE to be solved
% y_init: Initial y value
% x_init: Inital x value
% x_end: Final x value
% nstep: No. of steps to get from x_init to x_end
% x: x va... |
data = readTxt('updated_train.txt');
attributes = ['2','3','4','5','6','7','8'];
attributesLive= [1,1,1,1,1,1];
[rows,cols] =size(data);
node = id3(data,attributes,rows, attributesLive);
errorsList = visitNode(node, data);
disp('Q1-3. the rows of error prediction when the updated_train.txt as test data.');
disp(... |
%% 5.1 b
close all
%plotting the first response
amplitude = 1;
frequency = 0.005;
sim("ship_5_b.mdl")
figure
plot(simout,'LineWidth',1.5)
hold on
plot(simout.Time,ones(1,length(simout.time))*max(simout.data),'-.m','LineWidth',1.5)
plot(simout.Time,ones(1,length(simout.time))*min(simout.data(3000:end)),'-.r'... |
% expl. Euler mit Ein-/Ausstroemung
% Geschw./Partikel
% Wandgeschwindigkeit
function [] = Num_1_Wirbelstroemung_GUI_05(t,video_jn,video_name)
%% Hauptteil
% Ein/Aus Geschw: Num_1_Wirbelstroemung_GUI_Geschw_EinAus(...)
% u_EA_L = U_EA(1,1);
% u_EA_R = U_EA(2,1);
% u_EA_O = U_EA(3,1);
% u_EA_U = U_EA(4,1);
U_EA = [0;... |
%=====================================
% ECE 6104 Project 1 Validate PIC routines
% Kevin Diomedi
%=====================================
%=====================================
%Spectral solver validation
%=====================================
%addpath('../hw1');
%Q6
%=====================================
%Electric ... |
clear variables ;
close all;
clc;
N = 5000; %Nb exp
loi = 2
switch loi
case 1 %Loi Uniforme
n = 25;
X = zeros(1,N);
for k = 1:N;
X(k) = LoiUniforme(n);
end
case 2 %Loi Bernoulli
p = 0.5
n = 50
X = zeros(1,2)
for k = 1:n
if L... |
function dydt = simp_pend_opt(t ,y , k_fb, k_ff, u_desired, t_desired, x_current, t_current)
% K_int = interp1(t2,k_opt,t);
% dydt = [y(2); ( -K_int*[y(1); y(2)] - y(2) - y(1) ) ];
% k_fb_int = interp1(t2, k_fb, t);
% k_ff_int = interp1(t1, k_ff, t);
% y(1) = wrapToPi(y(1));
k_fb_int(1,1) = interp1(t_current', k_f... |
function configureLocalization
%peg 10 IsLastRangingNode(1);
%peg 10 IsLastRangingNode(1);
%peg 10 IsLastRangingNode(1);
%peg 10 IsLastRangingNode;
%peg 10 IsLastRangingNode;
%peg 10 IsLastRangingNode;
peg all MaxAnchorRank(500)
pause(0.25);
peg all MaxAnchorRank(500)
pause(0.25);
peg all MaxAnchorRank(500)
pause(0.... |
%% Name - Sheel Nidhan
% Date - 11th September, 2019
% Plots for the eigenvalues results for prf_spod_re5e4_frinf paper
clear;
dirout = '/home/sheel/Dropbox/research/sheel_papers/prf_spod_re5e4_frinf/template/figures_2.0/';
%% Generating the figure object
close all;
x0=0;
y0=0;
width=15;
height=15;
set(gcf, 'units'... |
%% Read the value of a TT from OPC (by simple name)
%
% level = ppGetLevel(pointTag)
%
% Returns:
% level Value read from OPC as double
%
% Examples:
% level = ppGetTemp("cstr1");
%
function value = ppGetLevel(pointTag, recordCount)
arguments
pointTag string
recordCount uint16 = 1... |
function excitation = getForce(wave,time,elevation)
% getForce.m E.Anderlini@ed.ac.uk 23/12/2016
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This function is used to obtain the wave excitation force from the wave
% elevation and the diffraction impulse response function.
%... |
function qqt = sq_exp(u1,v1,w,sigma)
if (size(u1,1)<size(u1,2))
u1 = u1';
end
if (size(v1,1)<size(v1,2))
v1 = v1';
end
u = repmat(u1,1,length(v1));
v = repmat(v1',length(u1),1);
qqt = sigma.*exp(-(u-v).^2./(2*w^2));
end |
%% Initialization
clear ; close all; clc
addpath('./libsvm-3.22/matlab');
%% ==================== Part 1: linear SVM ====================
%% 加载数据
[train_y, train_x] = libsvmread('email_train-all.txt');
%% 获取大小
[m,n] = size(train_x);
b = [train_x train_y];
csvwrite('train.csv',b);
model = svmtrain(train_y, train_x, s... |
function [looclass1,class2,Kopt,error_array]=multiclass_knn(input1,class1,input2,K)
%
% Use simple squared dist to compute the nearest
% neighbor classes by voting in K neighbors.
%
% INPUT:
%
% input1, input2: input vectors for training and test set (D x N)
% class1: vector ( N X 1) with the class labels range 1:C
... |
%M300x.m
%help file for M300x.dll
%
% returns -1 on error
% Three main commands
% (defined in globals_mii.m as strutures C_ and M_)
%
% C_.INIT
%
% C_.MODE
% source for left (M_.SOURCE1 or M_.SOURCE2)
% source for right (M_.SOURCE1 or M_.SOURCE2)
%
% C_.DATA
% S1atten followed by S2atten
% |
%%
% Solves a linear system where the user manages the mesh--solver interactions
%
% Set the Matlab path and initialize PETSc
path(path,'../../')
PetscInitialize({'-ts_monitor','-snes_monitor','-ksp_monitor','-ts_theta_theta','1'});
%%
% Open a viewer to display PETSc objects
viewer = PetscViewer();
viewer.SetType(... |
function [a] = teststats()
%TESTSTATS Look at all the functions in 'mfiles' and then calculate the
%usage by scanning the 'tests' folders.
%
% Returns an array of structs (a.name a.count)
%
% Also writes to a comma separated file, 'teststats.csv'
%
% Example: [a] = teststats();
%
% Find the ones that are not getting... |
clear;
clc;
close all;
data = readtable('iris.txt');
data.Properties.VariableNames{1} = 'sepal_length';
data.Properties.VariableNames{2} = 'sepal_width';
data.Properties.VariableNames{3} = 'petal_length';
data.Properties.VariableNames{4} = 'petal_width';
data.Properties.VariableNames{5} = 'species';
x1 = t... |
function [x, flag, iter, xs] = Secant(fun, x0, x1, tol, maxIter)
% Secant Find zero of single-variable function using secant method.
% X = Secant(FUN, X0, X1) returns a zero of FUN within X0, X1 as the
% first two points using Secant method. FUN should be a function handle
% taking a scalar as input and X0, X1... |
function obj = setReference(obj, ref)
% set the reference frame
%
% Parameters:
% ref: the reference frame object @type CoordinateFrame
assert(isa(ref,'CoordinateFrame'),...
'The reference frame must be a CoordinateFrame object.');
obj.Reference = ref;
% update the homogene... |
%% ID: 182482526
%% Name: Hasibul Islam Nirob
func=@(x) x.^3-21*x+3500;
derivFunc=@(x) 3*x.^2-21;
x=-15;
h = func(x) / derivFunc(x);
while abs(h)>=0.001
h = func(x)/derivFunc(x);
x = x - h;
endwhile
fprintf('The root is : %f',x); |
% Demonstration of the View-morphing method
% addpath('C:\opencv\mexopencv')
% addpath(genpath('C:\Users\VitoS\Documents\Administracija\Consulting\Jobs\EngineUpgrade_20141119\working_copy_code\opencv'))
% cdir = fileparts(mfilename('fullpath'));
% addpath([cdir,'\face_and_landmark_detector'])
addpath('face_and_landmar... |
% sistem
b = 5; t = 4; L = -5; U = 5;
% b = baza , t= dolzina mantise, L,U=meje eksponenta
%kodo rabim povecat za for zanko ce imam vecji t oz zmanjsati
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% mantise
c = 0:b -1;
M = zeros ( b ^t ,1) ;
i = 1;
for c1 = c
fo... |
% This code is used to fit a DDM for the computational modeling workshop challenge
% Research questions:
% 1. Does the drift rate change with respect to the 'closeness' of a picture to the decision boundary?
% The hypothesis is that as the strength of evidence for a certain option decreases (e.g., get closer
% to the m... |
function [spikesValue, spikesTime]= SpkDet_PTSD_SA(data, thresh, plp, rp, npa);
%=================================================================
%
% SpikeDetection_PTSD
%
% The calling syntax is:
%
% [spkValues, spkTimeStamps] = SpkDet_PTSD_SA(data, thresh, plp, rp, npa)
%
% data -> signal raw dat... |
function qualityMatrix = qualityMatrixFinal( Actions )
%QUALITYMATRIXFINAL this function extacts the information about the quality
%from the complex Actions structure
% USAGE : qualityMatrix = qualityMatrixFinal( Actions )
% INPUT:
% Actions - a complex structure containing information about the impact
% and the q... |
% x为插值点
% xi为待计算点
function Test3(x, xi)
y = sqrt(x);
yi = Lagrange(x, y, xi);
yFact = sqrt(xi);
err = yFact - yi;
fprintf('计算插值点xi:\n');
disp(xi);
fprintf('计算得插值yi:\n');
disp(yi);
fprintf('插值点处函数值yFact:\n');
disp(yFact);
fprintf('计算误差err:\n');
disp(err);
plot(x, y, '-b', xi, yi, '-r', xi, yi, 'og'); |
function varargout = dddtreecfs(option,dt,varargin)
%DDDTREECFS Extract or reconstruct dual-tree coefficients.
% OUT = DDDTREECFS(OPTION,DT,PARNAM,PARVAL, ...) reconstructs
% or extracts coefficients from the tree DT, OUT depends
% on PARNAM and PARVAL.
% If OPTION equal to 'r' reconstructions are done else,
%... |
%User Kill Script
%this script, when saved in the current protocol folder, will be executed
%at Bpod termination.
%Serves for custom and protocol specific action at session end.
%% PUT USER-SPECIFIC STUTT HERE%%
% For example, save behahior figures, do additional analyses and send
% results by e-mail. For example scri... |
function [dioValue, counterOut, exitFlag] = waitForCounterChange(dio, WHICHRIG, timeOut)
%WAITFORCOUNTERCHANGE Samples the digital and returns only when counter
%updates, indicated new data on DIO lines
% Eric Trautmann - etrautmann@gmail.com
% 2/7/12
exitFlag = 'success';
if nargin < 3
ti... |
function prompt(varargin)
% NAME
% prompt
%
% SYNOPSIS
%
% prompt(varargin)
%
% ARGS
% INPUTS
% varargin in if any variable is passed,
% the 'prompt' will pause
% before evaluating the
% input() function call. This
% helps to prevent MatLAB
% ... |
function SimScore = PDBID_StructureSimilarity(s1, s2)
%% if s1 == s2
% SimScore = 1
%first, split the s1 and s2 into pdb ids
slist1 = buildkeyset(cellstr(s1))
slist2 = buildkeyset(cellstr(s2))
%function [ keywords ] = buildkeyset( colcell )
% build a keywords set from the column value of uniprot
l1 = length(slist... |
%RTBDEMO Robot toolbox demonstrations
%
% Displays popup menu of toolbox demonstration scripts that illustrate:
% - homogeneous transformations
% - trajectories
% - forward kinematics
% - inverse kinematics
% - robot animation
% - inverse dynamics
% - forward dynamics
%
% Notes::
% - The scri... |
function varargout=test_fpb_corr(varargin)
if nargout>0
[varargout{1:nargout}]=feval(varargin{:});
else
feval(varargin{:});
end
%------------------------------------------------------
function [D3u, R, HW]=make_test_data
% run a tx-pulse-shape correction simulation for a range of surface roughnesses (R).
% ... |
%==============================================================
% FileName: elem_nbenergy.m
% Description: Get non-bonded energy in a element
% Author: Changhao Li
% Date created: 20 Jul 2017
% Version: 1.00
% Date last revised: 20 Jul 2017
% Revised by: Changhao Li
%============================================... |
function a=read_array_2d(filename)
% a=rad_arrray_2d(filename)
% read 2d matrix written by write_array_2d
d=load(filename);
m=d(1);
n=d(2);
if length(d)~=m*n+2,
error('wrong number of terms in the file')
end
a=reshape(d(3:end),n,m)';
end
|
for ii = 1:3
a1 = allFates_small{ii};
a1(a1 == 0) = 0; % media
a1(a1 == 300) = 8; % sox2
a1(a1 == 200) = 30; % T
a1(a1 == 100) = 15; % cdx2
figure; imagesc(a1); colormap(jet); axis off;
end
%% |
function strOut = pickle( A , precision )
if isa( A , 'char' )
classTag = class(A);
sizeTag = num2str(size(A));
serialData = A(:)';
strOut = [ classTag ':' sizeTag ':' serialData ];
else
classTag = class(A);
sizeTag = num2str(size(A));
serialData = num2str( A(:)' , precision );
strOut =... |
% Reads LiDAR distances until an obstacle is detected in front of the user
% expected format: measured dist,ground dist
% - SerialPort: serialport object corresponding to SCI1
function readLidar(SerialPort)
% flags to synchronise with C program
send_lidar = sprintf("2\n");
stop_lidar = sprintf("0\n");
... |
function [varargout] = InitializeInstr(obj)
% Initialize instrument
% adcmt 6166: 6161-compatible mode must be set to ON (set by using the instrument front panel)
% Copyright 2015 Yulin Wu, Institute of Physics, Chinese Academy of Sciences
% mail4ywu@gmail.com/mail4ywu@icloud.com
ErrMsg = '';
TYP = l... |
function [DepNO2,DepH2O2,DepO3,DepHCHO,DepHNO3,DepNO,Gst] = deposition(gst,t,hour,T,lw,z,RH,PAR,f_light,LAIcum,Rsoil, Vcut, Vst,H,u_os,g_min,VPD_min, VPD_max,SWP_min, SWP_max, SWP,SGS ,EGS, gpot_a , gpot_b, gpot_c,hhti,hlti,vegtype,depscheme, Ptorr,Rm)
%depositions in units of s^-1
%parameterization of leaf boundary re... |
function [Z p]=PG_GOOPSI(P,X,t,N)
%Grid function rho(X,t,N) [for GOOPSI:Vogelstein-Paninski setup]
%Z=PG(P,[],t,N) returns a sample of N X's from rho(X,t).
%Z=PG(p,X,t) computes rho(X,t). If X is a NxM matrix of N M-dimensional
%states, Z is Nx1 vector of such probabilities P_i=rho(X_i,t).
%[Z,P]=PG(p,[],t,N) retu... |
%% Create a mmodel for attribution analysis using the 3-factor Brinson model.
% That ideally calls on our daily Citi feeds from Citi.
function [ansa] = attribution(ft0, ft1, bt0, bt1, fccy, bccy, sdate, edate)
ansa = ft1./ft0;
end |
function [x, y, z, f] = field(g, lmax, p, dp, b, theta, phi, comp)
% Subroutine to calculate x, y, z and total field at given coordinates
% from a set of schmidt quasi normalised spherical harmonic
% coefficients. includes downward continuation. Assumes an
% internal source. ... |
%Volume based Metrics
% function [rmse, mad, ave] = Volume_Metrics(vol_GT, vol_Alg)
function [rmse, mad, ave] = Volume_Metrics(vol_GT, vol_CMF, vol_FWHM, vol_STRM, endloop)
rmse = ....rmse_CMF, rmse_FWHM, rmse_STRM
[sqrt(mean( (vol_GT(:) - vol_CMF(:)).^2 )),....
sqrt(mean( (vol_GT(:) - vol_FWHM(:... |
% Load model parameters
quanser_aero_parameters;
%
%% Control Specifications
% Peak time and overshoot specifications
PO = 7.5;
tp = 1.75;
% Damping ratio from overshoot specification.
zeta = -log(PO/100) * sqrt( 1 / ( ( log(PO/100) )^2 + pi^2 ) );
% Natural frequency from specifications (rad/s)
wn = pi / ( ... |
%% This is for playing with data coming from Google Takeout
% filtered with parse_location.js
disp('reading data...')
% Modify this with your own data
% Filter it with parse_location.js first
data = dlmread('samples/locations.tsv', '\t');
% Heavy down-sampling to speed up later integration
d.x = data(1:1000:end, 2:3... |
%set up a function to incorporate the entire equation
function pupilDiameterMm = getPupilSize(ageYrs, luminanceCdM2, fieldDiameterDeg, eyeNumber, whichModel)
%% W&Y's (2012) unified formula
fieldSizeDeg = ((fieldDiameterDeg/2)^2)*pi;
% switch will allow to chose which model we want to look at
switch whichModel
case... |
function [XX_k1k1, z_pred, IEKFitcount] = IEKF(U_k, Z_k, dt, stdv, stdw)
% IEKF Function for running Iterated Extended Kalman Filter.
%
% Inputs:
% - U_k: input vector
% - Z_k: measurement vector
% - dt: timestep
% - stdv: sensor noise statistics
% - stdw: process noise statistics
%
% Output:
% - XX_k1k1: one-s... |
% $Header: svn://.../trunk/AMIGO2R2016/Kernel/IVP_solvers/sens_analysis_1.1/AMIGO_loop_senssys.m 1803 2014-07-14 14:28:02Z attila $
options = odeset('RelTol',inputs.ivpsol.rtol,'AbsTol',inputs.ivpsol.atol,'BDF','on');
y_0=privstruct.y_0{iexp};
sens_y0=inputs.PEsol.sens0;
if privstruct.t_int{iexp}(1)==inputs.exps.t_... |
function[interval, start]=getSampleInterval_smr(fID,chan)
% getSampleInterval_smr returns the sampling interval in seconds
% on a waveform data channel in a file, i.e. the reciprocal of the
% sampling rate for the channel, together with the time of the first sample
%
% [INTERVAL{, START}]=getSampleInterval_smr(FID, CH... |
%% some numbers.
% all times are in [ms]
dt = 2;
tmax = 1000;
tmin = -200;
fs = 1/dt;
len_sample = floor((tmax-tmin)*fs);
t = linspace(tmin, tmax, len_sample);
N2_widths = 50:50:401;
ratio_jitters = [0 0.05 0.3 0.55 0.8 1.05 1.3];
num_trails = 100;
freqs = logspace(log10(2), log10(60), 30);
tot_erp = zeros(length(N2_... |
%%%
% Creates Figures on cell bias towards aggreagtes
%%%
addpath('Libraries/Utils')
addpath('Libraries/TrajectoryAnalysis/')
PROJECT_BASENAME = ['/Volumes/Scratch/Chris/Paper2_Rippling/Paper2/'];
run('ENVS.m')
load([PROJECT_BASENAME, '/data/processed/Development/AllData.mat']);
%AllData cell indicies for each movie ... |
function varargout = gui_workspace(varargin)
% GUI_3DVIWER MATLAB code for gui_3dviwer.fig
% GUI_3DVIWER, by itself, creates a new GUI_3DVIWER or raises the existing
% singleton*.
%
% H = GUI_3DVIWER returns the handle to a new GUI_3DVIWER or the handle to
% the existing singleton*.
%
% GUI_3DV... |
function drawResult( obj, field )
isFigureEmpty = isempty( obj.drawHandle );
if isFigureEmpty
drawNewFigure( obj, field );
return;
end
if isvalid( obj.drawHandle )
updateFigure( obj, field );
else
drawNewFigure( obj, field );
end
end
function updateFigure( ... |
function b = colormap_scaledata(map,a)
b = nan(size(a));
if sum(sum(~isnan(a))) >1 % if more than one data point in a
n = size(map,1);
m = min(min(a));
mx = max(max(a));
scale = m:(mx-m)/(n-1):mx;
for si = 1:numel(scale)-1
b(a>=scale(si) & a<=scale(si+1)) = si;
end
b(a==scale(en... |
load pred1.dat
load resp1.dat
X = pred1(1:500,50); % Predictors
Y = resp1(1:500); % Responses
yMean = mean(Y);
xMean = mean(X);
n = numel(X);
w1numer = sum((X-xMean).*(Y-yMean));
w1denom = sum((X-xMean).^2);
W1 = w1numer / w1denom; % m slope
W0 = yMean - (W1*xMean); % b intercept
% y = m*x + b //minimizes error.... |
clc
s = load('dbworld_bodies');
mat = cellstr(s.dictionary); % reading words in to matrix
mat= mat';
word_mat = struct([]);
% char word_mat = zeros([1 4702]); % for comparing words with inputs
%
% email_mat = struct([]); % for individual emails
filePh = fopen('msg1.txt','w');
%This loop is written for... |
function [W, E, Epos,Epos2,Epos3,Epos4, H, r, lam,I,LT, testf, testf2, Elamt] = plotenergy(Sol , pos, alpha, FvsZp)
R0=4;
k0 = 320;
%k2 = -0.53*k0;
k2=0;
mesh = (0:1/2000:1).^2;
t = alpha*mesh;
H(:,:) = [Sol(4,:,:) Sol(10,:,:)]/R0;
r(:,:) = [Sol(1,:,:) Sol(7,:,:)]*R0;
y(:,:) = [Sol(2,:,:) Sol(8,:,:)]*R0;
lam(:,:) = [... |
function [listeX, listeY, listeT] = extractTraj(id, X, Y, T)
listeX = {};
listeY = {};
listeT = {};
[lenT, j] = size(id);
i = 1;
while i < lenT
j = id(i);
k = i + j - 1;
listeX{end + 1} = X(i:k);
listeY{end + 1} = Y(i:k);
listeT{end + 1} = T(i:k... |
fprintf('Welcome to Week #13 of ECS1200 for Bioengineering\n');
% determine the Arduino comport
serialInfo = instrhwinfo('serial');
for k = 1:length(serialInfo.SerialPorts),
comports(k) = str2num(serialInfo.SerialPorts{k}(4:end));
end
h = find(comports>=3);
if isempty(h)
fprintf('No Arduino COM port found.\n... |
%Copyright 2017, Jinyan Zhang, All rights reserved.
%Jinyan Zhang, Student ID# 2447878
%Course AE413, Homework 1, Question 1.
function ATMOS = atmos(h)
%Input: height in feet.
ATMOS = struct('H', {}, 'T', {}, 'P', {}, 'Rho', {}, 'a', {});
g=9.80665;
h0=0;
h1=11000;
h2=20000;
T0=288.... |
%%
%(1)
clc
REPS=1000;
for N=[2,4, 8]
tic;
for i=1:REPS
dftmtx(N);
end
toc
for i=1:REPS
DFTmatrixA(N);
end
toc
end
%hacer tabla con valores
%%
%(2)
close all
for N=[4,32,256]
A=DFTmatrixA(N);
figure
clear A_aux;
A_aux(:,:,1)=real(A);
A_aux(... |
fprintf("1")
t = [pi/2 -pi/2 pi/2 pi/3 pi/2];
dt = [0.1 0.3 0.2 -0.1 0.6];
[linear_V, angular_V] = speed(t, dt)
fprintf("2")
%t0 = [0 0 0 0 0 0];
t1 = [pi/2 -pi/2 pi/4 -pi/6 pi/8 -pi/3];
dt1 = [0.1 -0.2 0.3 0.1 0.4 -0.6];
%H = puma_FK(t0)
[linear_V, angular_V] = puma_speed(t1, dt1) |
function zfft1(in_path,out_path,points,fft_max)
% zfft1 do a fft on the third of three dimensions
% data was saved as interleaved complex using this code in rad_mat. ~line 2175
% A=data_buffer.data;
% A=[imag(A(:)');real(A(:)')];
% A=A(:);
%
% ... |
clc
close all
clear
%% load data
load('ECGdata.mat')
%% setup GAN training data
maxLabel = max(TrainingLabels);
numSamplesPerClass = zeros(1,maxLabel);
for i = 1:maxLabel
numSamplesPerClass(i) = sum(TrainingLabels == i);
end
maxSample = max(numSamplesPerClass);
numGanTrainingPerClass = zeros(1,maxLabel);
for i = 1:... |
clear;clc;clf
%海平面4個時間的風速與風向
t=[1 2 3 4]; %時間
y=zeros(1,4) %把4個y固定在0
speed=[5 6 3 7] %風速
theta=[0 90 180 270] %風向
%向右是0度(東邊)
%向上是90度(北邊)
u=speed.*cosd(theta)
v=speed.*sind(theta)
quiver(t,y,u,v) %在座標軸為t和y的點上繪出一個箭頭
%箭頭的大小方向由矩陣u和矩陣v來決定
|
function [n] = Plot_Matrix(Status,Fig)
[m,n] = size(Status);
row = m; column = n;
a=-column/2-0.5;
b=row/2+0.5;
c=0;
figure(Fig)
for i=1:1:row
b=b-1;
for j=1:1:column
a=a+1;
if a>column/2
a=-column/2+0.5;
end
c=c+1;
if Status(i,j) == 1
... |
function test_sqrt
% Test code for the quaternion sqrt function.
% Copyright © 2006 Stephen J. Sangwine and Nicolas Le Bihan.
% See the file : Copyright.m for further details.
disp('Testing square root function ...')
T = 1e-12;
% Test 1. Real quaternion data.
q = randq(100);
compare(q, sqrt(q) .^2, T, 'quaternion... |
function [ srgb, trgb, outImg] = stpReinhard(spath, tpath)
%% 把spath中的图片颜色迁移到tpath中的图片上
%% 读取并转换颜色空间
srgb = imread(spath);
trgb = imread(tpath);
slab = stpRgb2Lab(srgb);
tlab = stpRgb2Lab(trgb);
%% 计算方差和标准差
msl = mean2( slab(:, :, 1) );
msa = mean2( slab(:, :, 2) );
msb = mean... |
good = load('lab_bioimaging/imT1.mat');
seg = load('t1.mat');
seg = double(seg.scirunnrrd.data(:,:,1));
x1 = good.imT1(:,:,1).*seg;
x2 = good.imT1(:,:,2).*seg;
x3 = good.imT1(:,:,3).*seg;
x4 = good.imT1(:,:,4).*seg;
x5 = good.imT1(:,:,5).*seg;
x6 = good.imT1(:,:,6).*seg;
x7 = good.imT1(:,:,7).*seg;
x8 = good.imT1(:,:... |
function precisions = precision_plot(result,groundtruth)
figure(33);
% hold off;
max_threshold = 50;
precisions = zeros(max_threshold,1);
dd = (result(:,1) - groundtruth(:,1)).^2 + (result(:,2) - groundtruth(:,2)).^2;
distances = sqrt(dd);
for i = 1:max_threshold
index = find(distances <= i);
count = length(ind... |
function [cons] = cca_consistency(X,xpred)
%-----------------------------------------------------------------------
% FUNCTION: cca_consistency.m
% PURPOSE: check what portion of the correlation structure in data is
% accounted for by an MVAR model, based on Ding et al 2000
%
% INPUTS: X nvar... |
function S = reconstruct_nuclear_norm(W, K)
F = size(W, 1);
P = size(W, 2);
% [F, P, 2] -> [2, F, P] -> [2F, P]
W = permute(W, [3, 1, 2]);
W = reshape(W, [2 * F, P]);
% Subtract centroid per frame.
mu = mean(W, 2);
W = W - mu * ones(1, P);
% Compute SVD of W.
[U, D, V] = svd(W, 'econ');
U = U(:... |
function [ output ] = get_layer_output(data,trained_pars)
%GET_POOLING_OUTPUT Summary of this function goes here
% Detailed explanation goes here
[h_states,~] = get_inference(data,trained_pars);
output = cell(length(data),1);
for i = 1:length(output)
output{i} = polling(h_states{i},trained_pars.par... |
function [y,fny] = Adams(trajectory,fn,h)
%computing Adams
%first step
[P] = firstStep(trajectory,fn,h);
%second step
E(1) = v1(P(1), P(2));
E(2) = v2(P(1), P(2));
%third step
[y] = thirdStep(trajectory,fn,E,h);
%4th step
fny(1) = v1(y(1), y(2));
fny(2) = v2(y(1),y(2));
end
function [y] = firstStep(trajectory, fn, h... |
function OutData = subfnAddConditionalEffectsToOutPut(OutData,AnalysisParameters)
index = length(OutData) + 1;
ModelNum = AnalysisParameters.ModelNum;
Nmed = AnalysisParameters.Nmed;
Nthr = length(AnalysisParameters.Thresholds);
Thresholds = AnalysisParameters.Thresholds;
Nvoxels = AnalysisParameters.Nvoxels;
switch Mo... |
function [U] = euler(L,Ncells,Nsteps)
% This function solves 1D Euler equation using the Local Lax-Friedrich
% scheme, where the source term is -\rho x.
% Input arguments
% L The length of interest
% Ncells Number of cells
% Nsteps Number of time steps
%
% Output arguments
% U ... |
[xs,fs,k] = grad_desc('f_h','Rosen',[2; -3],1e-6);
[xs,fs,k] = grad_desc('f_h','Rosen',[-3; -3],1e-6);
newton('f_h','Rosen','h_h',[2;3],0.1,1e-6);
newton('f_h','Rosen','h_h',[-3;3],0.1,1e-6);
newton('f_h','Rosen','h_h',[2;-3],0.1,1e-6);
newton('f_h','Rosen','h_h',[-3;-3],0.1,1e-6); |
function [media, des] = fun02(x)
n = length(x);
suma = 0;
for k=1:n
suma = suma + x(k);
end;
media = suma/n;
suma = 0;
for k=1:n
suma = (x(k) - media)^2;
end;
des = sqrt(suma/n ); |
% Base class for CDPR observers
%
% Author : Chen SONG
% Created : 2017
% Description :
% The observer will estimate the system state (q, q_dot) and disturbance
% (in forms of q_ddot and wrench). Depending on the specific observer,
% some of the output may be not empty (not available from the obs... |
% Copyright 2014
%
% 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://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writin... |
hs = ones(numel(costs),2);
ps = ones(numel(costs),2);
num_costs = numel(costs);
num_costs = 9;
rep_sim = size(results.samples(c,2,:),3);
all_bo = zeros(num_costs*rep_sim,1);
all_mg = zeros(num_costs*rep_sim,1);
for c=1:num_costs
%Compare BSARSA and BO
bs = squeeze(results.samples(c,2,:));
bo = squeeze(... |
% Multi-Dim Rosenbrock
% Credit to -> http://www.gatsby.ucl.ac.uk/~edward/code/minimize/rosenbrock.m
function val = func(x)
D = length(x);
val = sum(100*(x(2:D)-x(1:D-1).^2).^2 + (1-x(1:D-1)).^2);
sum(100*(x(2:D)-x(1:D-1).^2).^2 + (1-x(1:D-1)).^2)
%val = sum(x.^2);
end
|
% cd E:\GitHub\paper\lbfgs\lbfgs\lbfgs\minFunc_comprehension
% addpath(genpath(pwd))
% mexAll
grabcode('http://web.stanford.edu/~boyd/papers/admm/total_variation/total_variation.html') |
function decWriteLEDs(LEDs,targetPWM,serialObject)
targetPWM=ones(size(LEDs,1),1)*targetPWM;
targetPWM(~LEDs)=0;
targetPWM=repmat(targetPWM,1,12);
% Convert 12 bit PWM value to binary
for i=2:size(targetPWM,2)
targetPWM(:,i)=floor(targetPWM(:,i-1)./2);
end
binaryConv=fliplr(mod(targetPWM,2));
% Split binary valu... |
function [acf, pacf, qs] = uidents(y,lag,tit,s,graphics)
% UIDENTS - Computes the autocorrelation and partial autocorrelation functions
% for a set of series.
% [acf, pacf, qs] = uidents(y, lag, tit, s,graphics)
% y > (nxm) m series of n observations each.
% lag > maximum lag for the ACF and PACF (default: ... |
function [] = plot_dF(dF)
nCells = size(dF,3);
figure()
for cellID = 1:nCells
subplot (3,4,cellID)
%plot([-1*pre:post],(dF(:,:,cellID)'))
plot([-1*pre:post], mean((dF(:,:,cellID)'),2) - mean(mean(dF(:,1:900,cellID))))
title(['Cell', num2str(cellID)])
ylim([-0.05, 0.1])
xlim([-1000, 3000])
end
end |
function [eltime] = GVL_1_1_6(m, n, r)
A = round(100*rand(m,r));
B = round(100*rand(r,n));
C = round(100*rand(m,n));
% [m, r] = size(A);
% [~, n] = size(C);
tic
for i = 1:m
for j = 1:n
C(i,j) = C(i,j) + A(i,:)*B(:,j);
end
end
eltime = toc;
end |
classdef RandomForestModelTest < ModelTest
properties (TestParameter)
% functional parameters
fNum = {2}; % {1, 2, 6, 8, 13, 14, 15, 17, 20, 21};
dim = {2}; % {2, 5, 10, 20, 40};
m = {5};
% old model parameters
% modelSpec = {'linear', 'quadratic'};
% minLeafSize = {10};
... |
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