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github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Recommender Systems/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Linear Regression/submit.m | 17,317 | utf_8 | c92fa7713d3c5747ef93f067dddcc54d | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Linear Regression/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Support Vector Machines/submit.m | 16,836 | utf_8 | bbf9b999a1dae2f9a208e9edbfb6981a | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | porterStemmer.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Support Vector Machines/porterStemmer.m | 9,902 | utf_8 | 7ed5acd925808fde342fc72bd62ebc4d | function stem = porterStemmer(inString)
% Applies the Porter Stemming algorithm as presented in the following
% paper:
% Porter, 1980, An algorithm for suffix stripping, Program, Vol. 14,
% no. 3, pp 130-137
% Original code modeled after the C version provided at:
% http://www.tartarus.org/~martin/PorterStemmer/c.tx... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Support Vector Machines/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Logistic Regression/submit.m | 17,086 | utf_8 | 6f26069c12237f7a430ed09fc0c1b344 | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Logistic Regression/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Regularized Linear Regression/submit.m | 17,211 | utf_8 | 13a9995decf628307987cfb3364dd6a1 | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Regularized Linear Regression/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Neural Networks Learning/submit.m | 17,129 | utf_8 | bf5c5c1ceefb6cad621d632888b78dd1 | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Neural Networks Learning/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Neural Networks/submit.m | 17,041 | utf_8 | 3222eb8403790dbbf400354e1e71d0de | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/Neural Networks/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | andreikarpau/DataScienceRepo-master | submit.m | .m | DataScienceRepo-master/Machine Learning Course Projects/K-Means Clustering and PCA/submit.m | 16,958 | utf_8 | 44af178969606b83916b59695dd1a568 | function submit(partId, webSubmit)
%SUBMIT Submit your code and output to the ml-class servers
% SUBMIT() will connect to the ml-class server and submit your solution
fprintf('==\n== [ml-class] Submitting Solutions | Programming Exercise %s\n==\n', ...
homework_id());
if ~exist('partId', 'var') || isem... |
github | andreikarpau/DataScienceRepo-master | submitWeb.m | .m | DataScienceRepo-master/Machine Learning Course Projects/K-Means Clustering and PCA/submitWeb.m | 827 | utf_8 | bfb2fa08cac9d8d797e3071d3fdd7ca1 | % submitWeb Creates files from your code and output for web submission.
%
% If the submit function does not work for you, use the web-submission mechanism.
% Call this function to produce a file for the part you wish to submit. Then,
% submit the file to the class servers using the "Web Submission" button on ... |
github | jercytryn/inception-master | axisAndangle2rot.m | .m | inception-master/thirdParty/VanishingPointMatlabCode/PerspectiveCamera/Utils/axisAndangle2rot.m | 457 | utf_8 | 63f8b4b9bea75ada2b8e98b6280f0eed | %ROTVEC Rotation about arbitrary axis
%
% TR = axisAndangle2rot(V, THETA)
%
% Returns a homogeneous transformation representing a rotation of THETA
% about the vector V.
%
% See also: ROTX, ROTY, ROTZ.
% Copyright (C) 1993-2002, by Peter I. Corke
function r = axisAndangle2rot(v, t)
v = v/norm(v);
ct = cos(t);
... |
github | jercytryn/inception-master | RefineVPAndFocalByMLE.m | .m | inception-master/thirdParty/VanishingPointMatlabCode/PerspectiveCamera/Utils/RefineVPAndFocalByMLE.m | 5,285 | utf_8 | 31daa3cde774855c750d50b1a95831e1 | function [vp, focal, residual] = RefineVPAndFocalByMLE(lines, initVP, initFocal, Classification, kConsistencyMeasure)
%%%This function is to refine the estimated vanishing points and the camera focal length according to the
%%%classification result by a maximum likelihood estimator.
%%%The maximum likelihood problem i... |
github | jercytryn/inception-master | vpdetection.m | .m | inception-master/thirdParty/vpdetection/matlab/vpdetection.m | 1,876 | utf_8 | c73ef502a723db8acea3a426ff09870f | %%
% Copyright (c) 2011 Chen Feng (cforrest[at]umich[dot]edu)
% and the University of Michigan
%
% 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 2 of the License, or
% ... |
github | jercytryn/inception-master | pseudocolor.m | .m | inception-master/thirdParty/vpdetection/matlab/pseudocolor.m | 1,639 | utf_8 | 167fcb5daeb8c3af09a8e11cde7698b5 | %%
% Copyright (c) 2011 Chen Feng (cforrest[at]umich[dot]edu)
% and the University of Michigan
%
% 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 2 of the License, or
% ... |
github | jercytryn/inception-master | showClusters.m | .m | inception-master/thirdParty/vpdetection/JLinkage/Bin/showClusters.m | 1,617 | utf_8 | 4397fa2249b1f5eba80b330230e11d41 | %-----------------------------------------------------------
% Plot clustered Points
%
% Usage:
%
% showClusters(Points,T, minlength)
%
% Arguments:
% Points - Data set
% T - Clustered points Labels
% minlength - Minimum number of element for a cluster
%----------------------... |
github | KartikSinghal/Short-text_Categorization-master | hyperagent_newest.m | .m | Short-text_Categorization-master/new_label_propagation/hyperagent_newest.m | 4,601 | utf_8 | bf002fab82187a6664e8b5bb9ffb1cd4 | % alpha: is the label diffusion parameter between 0 to 1
% delta: is the error convergence to stop diffusion
% maxItr: is the max diffusion loop iterations
function [] = hyperagent_newest()
%========================= DATE PREPERATION ==============================
% Hyper-incidence matrix H (m # Vertices X n # E... |
github | microsoft/ADBench-master | mupad_ba_objective.m | .m | ADBench-master/tools/MuPad/mupad_ba_objective.m | 1,522 | utf_8 | fc736665c226983a51312ac36275b8f3 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [compressedJ,reproj_err,w_err] = ...
mupad_ba_objective(cams, X, w, obs,do_jac)
% CAMERAS c x n
% matrix containing parameters of n cameras
% for now, supported format is only
% [r... |
github | microsoft/ADBench-master | mupad_ba_compute_weight_err.m | .m | ADBench-master/tools/MuPad/mupad_ba_compute_weight_err.m | 785 | utf_8 | 2af268f2b1e59181845ddbb5daee2071 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = mupad_ba_compute_weight_err(w, data)
if nargin == 0
%%
addpath('..')
addpath('../awful/matlab')
% Make a small random GMM
w = rand(1);
data = zeros(0,1);
% Test call of the function
f = @m... |
github | microsoft/ADBench-master | mupad_ba_compute_reproj_err.m | .m | ADBench-master/tools/MuPad/mupad_ba_compute_reproj_err.m | 1,247 | utf_8 | 3b2db01fe09dc0778bb9b802255d13f1 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = mupad_ba_compute_reproj_err(params, data)
if nargin == 0
%%
addpath('..')
addpath('../awful/matlab')
% Make a small random GMM
n = 1;
m = 1;
p = 1;
[cam,X,w,obs] = generate_random_ba_instance(n... |
github | microsoft/ADBench-master | MuPad_ba.m | .m | ADBench-master/tools/MuPad/MuPad_ba.m | 901 | utf_8 | a28ac6ba99038746f8633ac60b4437c1 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf,tJ] = ...
MuPad_ba(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit)
%MUPAD_GMM Run a single MuPad BA test
% (description)
addpath('../matlab-common');
addpath('../../submodules/awful/matlab');
[cams, X, w, obs] = load_ba_in... |
github | microsoft/ADBench-master | mupad_gmm_objective.m | .m | ADBench-master/tools/MuPad/mupad_gmm_objective.m | 651 | utf_8 | 1cc4c02b53dfea030e60b3786056aee3 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [ J, err ] = mupad_gmm_objective( nruns, params,...
x,hparams,do_jacobian)
%mupad_gmm_objective Use mexed files
d = size(x,1);
k = size(params.alphas,2);
n = size(x,2);
mexname = sprintf('example_gmm_objective_mex_d%d_K%d', d, k);
... |
github | microsoft/ADBench-master | MuPad_gmm.m | .m | ADBench-master/tools/MuPad/MuPad_gmm.m | 975 | utf_8 | ef731130a7ac2bcfe7ec3a2cf5415fd2 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf,tJ] = ...
MuPad_gmm(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit, replicate_point)
%MUPAD_GMM Run a single MuPad GMM test
% (description)
if nargin < 7
replicate_point = false
end
addpath('../matlab-common');
addpath... |
github | microsoft/ADBench-master | mupad_hand_objective.m | .m | ADBench-master/tools/MuPad/mupad_hand_objective.m | 4,978 | utf_8 | 71953dadb5006661190404a03cce8dfd | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = mupad_hand_objective(params, data)
%HAND_OBJECTIVE
if nargin == 0
%%
addpath('../matlab-common')
addpath('../../submodules/awful/matlab')
data_dir = 'C:/ZS/autodiff/data/hand/simple_small/';
for i=1:... |
github | microsoft/ADBench-master | example_gmm_objective.m | .m | ADBench-master/tools/MuPad/example_gmm_objective.m | 5,096 | utf_8 | 4d6f19714ae6411348640e5919db0b2e | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = example_gmm_objective(params, data, get_lse_offset)
% EXAMPLE_GMM_OBJECTIVE Evaluate GMM negative log likelihood for one point
% First argument PARAMS stores GMM
% params.log_alphas
% vector of l... |
github | microsoft/ADBench-master | MuPad_hand.m | .m | ADBench-master/tools/MuPad/MuPad_hand.m | 980 | utf_8 | d96012b6d4a25f7f96759fef2ff55f43 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf,tJ] = ...
MuPad_hand(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit)
%MUPAD_Hand Run a single MuPad Hand test
% (description)
addpath('../matlab-common');
addpath('../../submodules/awful/matlab');
[params, data] = load_han... |
github | microsoft/ADBench-master | a_ba_compute_reproj_err.m | .m | ADBench-master/tools/ADiMat/a_ba_compute_reproj_err.m | 20,021 | utf_8 | b46731eec7a03006950e43dae97c99b7 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | a_ba_objective.m | .m | ADBench-master/tools/ADiMat/a_ba_objective.m | 27,911 | utf_8 | b70f23ea0e6e13decceed3c9e75b5038 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | d_hand_objective_complicated.m | .m | ADBench-master/tools/ADiMat/d_hand_objective_complicated.m | 21,047 | utf_8 | 7da4cfd9248576ace9297afa5b29f270 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | adimat_compute_sparse_J.m | .m | ADBench-master/tools/ADiMat/adimat_compute_sparse_J.m | 1,132 | utf_8 | 842e2a8224449915390d3e6b135fcba5 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [Jacobian, fval] = adimat_compute_sparse_J(diffFunction, funcArgs,...
fNargout, independents, nzpattern, coloring, compressedSeedMatrix)
if nargin < 6
colFunc = @cpr;
[colResults{1:2}] = colFunc(nzpattern);
coloring = co... |
github | microsoft/ADBench-master | ADiMat_hand_simple.m | .m | ADBench-master/tools/ADiMat/ADiMat_hand_simple.m | 1,737 | utf_8 | 74f8211dfe83b5b20bb92e6c18512c1a | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf, tJ] = ...
ADiMat_hand(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit, do_adimat_sparse)
%adimat_hand
% compute derivative of hand
% NOTE this is simple, find complicated differences in adimat_run_tests
if nargin < 7
d... |
github | microsoft/ADBench-master | adimat_run_ba.m | .m | ADBench-master/tools/ADiMat/adimat_run_ba.m | 1,396 | utf_8 | b5579a619e7c6855e72f6912d3c5fb7c | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [J, fval] = adimat_run_ba(do_F_mode,...
cams,X,w,obs)
%adimat_run_ba Call already translated function
% and create our gradient
if do_F_mode
error('adimat_run_ba: forward not implemented.');
end
%other option... |
github | microsoft/ADBench-master | adimat_run_gmm_tests.m | .m | ADBench-master/tools/ADiMat/adimat_run_gmm_tests.m | 2,077 | utf_8 | 8a974f9793075fff63884331ef5419e9 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [times_f, times_J] = ...
adimat_run_gmm_tests(do_adimat_vector,params,data_dir,task_fns,...
nruns_f,nruns_J,J_file,times_file,replicate_point)
%adimat_run_gmm_tests
% compute derivative of gmm
ntasks = numel(task_fns);
do_F_mo... |
github | microsoft/ADBench-master | adimat_run_hand.m | .m | ADBench-master/tools/ADiMat/adimat_run_hand.m | 860 | utf_8 | 46f84e61f2ceaa1d677be6c1cdec33dc | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [J, fval] = adimat_run_hand(do_F_mode, params, data, us)
if ~do_F_mode
error('adimat_run_hand: reverse not implemented.');
end
%other options include:
% arrderivclass, arrderivclassvxdd, opt_derivclass,
% opt_sp_derivclass, mat... |
github | microsoft/ADBench-master | ADiMat_gmm.m | .m | ADBench-master/tools/ADiMat/ADiMat_gmm.m | 1,553 | utf_8 | 9abfea10916baa6306948514f4d96374 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf, tJ] = ...
ADiMat_gmm(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit, replicate_point,do_adimat_vector)
%adimat_run_gmm_tests
% compute derivative of gmm
if nargin < 8
do_adimat_vector = false;
end
if nargin < 7
rep... |
github | microsoft/ADBench-master | adimat_run_gmm.m | .m | ADBench-master/tools/ADiMat/adimat_run_gmm.m | 1,268 | utf_8 | 14d82cb3c4b9b265ecd7374857b35dbb | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [J, fval] = adimat_run_gmm(do_F_mode,do_adimat_vector,...
alphas,means,inv_cov_factors,x,hparams)
%adimat_run_gmm Call already translated function
% and create our gradient
if do_adimat_vector
objective = 'gmm... |
github | microsoft/ADBench-master | d_ba_objective.m | .m | ADBench-master/tools/ADiMat/d_ba_objective.m | 8,711 | utf_8 | 05c49eede2fa86e762c8280b25cff727 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | ADiMat_hand_complicated.m | .m | ADBench-master/tools/ADiMat/ADiMat_hand_complicated.m | 1,693 | utf_8 | 5356ea93ed6b761b199e68d0dfbda153 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf, tJ] = ...
ADiMat_hand(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit, do_adimat_sparse)
%adimat_hand
% compute derivative of hand
if nargin < 7
do_adimat_sparse = false;
end
nruns_f = str2double(nruns_f);
nruns_J = st... |
github | microsoft/ADBench-master | d_gmm_objective.m | .m | ADBench-master/tools/ADiMat/d_gmm_objective.m | 8,389 | utf_8 | 5c9ecac355e39b6a9bb8aac87d1ba825 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | a_compute_w_err.m | .m | ADBench-master/tools/ADiMat/a_compute_w_err.m | 2,196 | utf_8 | 2f50e1b09e9683b4207101f600638939 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | a_gmm_objective_vector_repmat.m | .m | ADBench-master/tools/ADiMat/a_gmm_objective_vector_repmat.m | 23,211 | utf_8 | ded88baa28c4c079600663db6029cf29 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | adimat_translate_if_new.m | .m | ADBench-master/tools/ADiMat/adimat_translate_if_new.m | 909 | utf_8 | 5bb2d3f78feca1aeafc54ea8a0c06c80 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function adimat_translate_if_new(func,independents,do_forward_mode)
addpath('../../submodules/adimat-0.6.2-5288');
ADiMat_startup
addpath('../../submodules/awful/matlab');
func_name = [func2str(func) '.m'];
if do_forward_mode
d_name = ['d_'... |
github | microsoft/ADBench-master | a_gmm_objective.m | .m | ADBench-master/tools/ADiMat/a_gmm_objective.m | 24,381 | utf_8 | 31e536d89b7090ea3e0f8ef60aa36ffd | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | ADiMat_ba.m | .m | ADBench-master/tools/ADiMat/ADiMat_ba.m | 1,836 | utf_8 | 240ba62d99ae9d3425527f4b86b8fccf | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [tf, tJ] = ...
ADiMat_ba(dir_in, dir_out, fn, nruns_f, nruns_J, time_limit, do_adimat_sparse)
%adimat_ba
% compute derivative of ba
if nargin < 7
do_adimat_sparse = false;
end
nruns_f = str2double(nruns_f);
nruns_J = str2doub... |
github | microsoft/ADBench-master | d_hand_objective.m | .m | ADBench-master/tools/ADiMat/d_hand_objective.m | 19,798 | utf_8 | 8ffa7bad23071172d4cb51d2dc2db949 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
% Generated by ADiMat 0.6.0-4975
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.d... |
github | microsoft/ADBench-master | adimat_run_tests.m | .m | ADBench-master/tools/ADiMat/adimat_run_tests.m | 3,868 | utf_8 | ad62500c79c74d5c91df7d21f21146d7 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [times_f, times_J, times_sparse] = ...
adimat_run_tests(problem_name,do_adimat_sparse,data_dir,task_fns,...
nruns_f,nruns_J,times_file)
isba = strcmp(problem_name,'ba');
ishandsimple = strcmp(problem_name,'handsimple');
ishandco... |
github | microsoft/ADBench-master | ba_objective.m | .m | ADBench-master/tools/matlab-common/ba_objective.m | 1,586 | utf_8 | eef05097c2cae9e752370a4e6aac5005 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [reproj_err, w_error] = ba_objective( cams, X, w, obs )
%BA_OBJECTIVE Bundle adjustment objective function
% CAMERAS c x n
% matrix containing parameters of n cameras
% for now, supported format is on... |
github | microsoft/ADBench-master | refresh_files.m | .m | ADBench-master/tools/matlab-common/refresh_files.m | 640 | utf_8 | 41a3704367bcdfb9fdab54cd3267cb3a | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function refresh_files(data_dir,tool,fns)
ntasks = numel(fns);
postfix = ['_times_' tool.ext];
if tool.call_type < 3
postfix = [postfix '.txt'];
for j=1:ntasks
fn = [data_dir fns{j} postfix];
if exist(fn,'file')
... |
github | microsoft/ADBench-master | get_skinned_vertex_positions.m | .m | ADBench-master/tools/matlab-common/get_skinned_vertex_positions.m | 2,613 | utf_8 | 88e63f76158a17b7480304e9d3c31988 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function positions = get_skinned_vertex_positions(model, pose_params)
relatives = get_posed_relatives(model, pose_params);
absolutes = relatives_to_absolutes(relatives, model.parents);
transforms = zeros(size(absolutes));
for i=1:size(transform... |
github | microsoft/ADBench-master | mupad_run_gmm_tests.m | .m | ADBench-master/tools/matlab-common/mupad_run_gmm_tests.m | 1,405 | utf_8 | 93341e2d274bd58926967e3bab9b2722 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [times_f, times_J] = ...
mupad_run_gmm_tests(params,data_dir,task_fns,...
nruns_f,nruns_J,out_file,replicate_point)
%mupad_run_gmm_tests
% compute derivative of gmm
addpath('mupad');
addpath('awful\matlab');
ntasks = numel(ta... |
github | microsoft/ADBench-master | read_times.m | .m | ADBench-master/tools/matlab-common/read_times.m | 1,421 | utf_8 | 3da0e04154c0c8e8c805a79ec56e3239 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [times_f,times_J,up_to_date_mask] = ...
read_times(data_dir,data_dir_est,fns,tools,problem_name)
ntasks = numel(fns);
ntools = numel(tools);
times_f = Inf(ntasks,ntools);
times_J = Inf(ntasks,ntools);
up_to_date_mask = false(ntasks... |
github | microsoft/ADBench-master | finite_diff_example.m | .m | ADBench-master/tools/matlab-common/finite_diff_example.m | 766 | utf_8 | 2b2682c369f701bad87545ce1c476b61 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function finite_diff_example
h = 1e-14;
while h(end)<10000
h(end+1) = h(end)*1.05;
end
lw = 1.5;
x = 1e3;
dyFD = FDfwd(x,h);
dy = dfoo(x);
plot(h,abs(dyFD-dy)/dy,'linewidth',lw);
hold on
x = 1;
dyFD = FDfwd(x,h);
dy = dfoo(x);
plot(h,abs(d... |
github | microsoft/ADBench-master | load_ba_instance.m | .m | ADBench-master/tools/matlab-common/load_ba_instance.m | 1,131 | utf_8 | 37eea891095e73588d8435c1afbcbcdb | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [cams, X, w, obs] = load_ba_instance( fn )
%LOAD_BA_INSTANCE format:
% n m p
% cam1 (row)
% .
% camn (row)
% X1 (row)
% .
% Xm (row)
% w1 w2 ... wp
% ... |
github | microsoft/ADBench-master | compute_w_err.m | .m | ADBench-master/tools/matlab-common/compute_w_err.m | 131 | utf_8 | 92bde3f5b56397064f1f3130022b87e3 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function w_err = compute_w_err(w)
w_err = 1 - w.*w;
end |
github | microsoft/ADBench-master | generate_symbols.m | .m | ADBench-master/tools/matlab-common/generate_symbols.m | 543 | utf_8 | 3a617f54a590c2167263ad1f36369570 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function symbols_map = generate_symbols()
symbols_map = containers.Map;
symbols_map('') = 'none';
symbols_map('eigen') = '^';
symbols_map('vector') = 'v';
symbols_map('split') = 'x';
symbols_map('eigen_vector') = 'diamond';
symbols_map('auto... |
github | microsoft/ADBench-master | logsumexp_repmat.m | .m | ADBench-master/tools/matlab-common/logsumexp_repmat.m | 374 | utf_8 | 5745d2a497488bea3b22481d63a8ce8a | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function out = logsumexp_repmat(x)
% LOGSUMEXP Compute log(sum(exp(x))) stably.
% X is k x n
% OUT is 1 x n
mx = max(x);
emx = exp(x - repmat(mx,size(x,1),1));
% emx = exp(bsxfun(@minus, x, mx)); % bsxfun does not wo... |
github | microsoft/ADBench-master | mupad_run_ba_tests.m | .m | ADBench-master/tools/matlab-common/mupad_run_ba_tests.m | 1,312 | utf_8 | 65dfe4c4318991018ac5820fe4e5b441 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [times_f, times_J] = ...
mupad_run_ba_tests(params,data_dir,task_fns,...
nruns_f,nruns_J,out_file)
%mupad_run_ba_tests
% compute derivative of ba
addpath('mupad');
addpath('awful\matlab');
ntasks = numel(task_fns);
times_f = ... |
github | microsoft/ADBench-master | get_tools_gmm.m | .m | ADBench-master/tools/matlab-common/get_tools_gmm.m | 6,646 | utf_8 | 7776c632715a729c539524f14ea42d4d | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function tools = get_tools_gmm(exe_dir,python_dir,julia_dir)
% call_type:
% 0 standard - tools(id).run_cmd
% 1 theano - tools(id).run_cmd
% 2 ceres - tools(id).run_cmd+d+k
% 3 adimat
% 4 adimat vectorized
% 5 mupad
% 6 finite differ... |
github | microsoft/ADBench-master | gmm_objective.m | .m | ADBench-master/tools/matlab-common/gmm_objective.m | 2,724 | utf_8 | 8c878ea585c2e948310f7f857d24ade2 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = gmm_objective(alphas,means,inv_cov_factors,x,hparams)
% GMM_OBJECTIVE Evaluate GMM negative log likelihood for one point
% ALPHAS
% 1 x k vector of logs of mixture weights (unnormalized), so
% ... |
github | microsoft/ADBench-master | hand_objective.m | .m | ADBench-master/tools/matlab-common/hand_objective.m | 443 | utf_8 | 6c59de6f51baaf1d4e3eea5e8a26dd49 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = hand_objective(theta, data)
%HAND_OBJECTIVE
pose_params = to_pose_params(theta, size(data.model.bone_names,1));
vertex_positions = get_skinned_vertex_positions(data.model, pose_params);
n_corr = numel(data.correspondences);
err... |
github | microsoft/ADBench-master | generate_ba_instance_params.m | .m | ADBench-master/tools/matlab-common/generate_ba_instance_params.m | 1,710 | utf_8 | f820a062a2eed9c448b9fefb8dcd02d1 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function params_final = generate_ba_instance_params
% generate_ba_instance_params:
% assuming 11 camera parameters and zach robustifier
% ntasks x [n_cams, n_pts, n_obs, total_in_params]
%
% returns a cell array of:
% ... |
github | microsoft/ADBench-master | create_nonzero_pattern_ba.m | .m | ADBench-master/tools/matlab-common/create_nonzero_pattern_ba.m | 1,551 | utf_8 | 180ba9ae64a81031ba0643f65bb7cee5 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function P = create_nonzero_pattern_ba( ncams, npts, obs )
%create_nonzero_pattern
% CAMERAS c x n
% matrix containing parameters of n cameras
% for now, supported format is only
% [r1 r2 r3 C... |
github | microsoft/ADBench-master | load_J.m | .m | ADBench-master/tools/matlab-common/load_J.m | 315 | utf_8 | 908c8581a1663c476c7bb793d5f7be32 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [ J ] = load_J( fn )
%LOAD_J Summary of this function goes here
% Detailed explanation goes here
fid = fopen(fn,'r');
rows = fscanf(fid,'%i',1);
cols = fscanf(fid,'%i',1);
J = fscanf(fid,'%lf',[cols rows])';
fclose(fid);
end
|
github | microsoft/ADBench-master | determine_n_runs.m | .m | ADBench-master/tools/matlab-common/determine_n_runs.m | 525 | utf_8 | a42307fb1cca624873e13d765dcb385e | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function nruns = determine_n_runs(times_est)
nruns = zeros(size(times_est));
for i=1:numel(times_est)
if times_est(i) < 5
nruns(i) = 1000;
elseif times_est(i) < 30
nruns(i) = 100;
elseif times_est(i) < 120
nru... |
github | microsoft/ADBench-master | save_ba_instance.m | .m | ADBench-master/tools/matlab-common/save_ba_instance.m | 1,254 | utf_8 | 890b4c2a790ad2d61157b96c81de9442 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function save_ba_instance( fn, cams, X, w, obs, n, m, p )
%SAVE_BA_INSTANCE format:
% n m p
% cam (row)
% pt (row)
% w
% feat1 (row [x y])
fid = fopen(fn,'w');
if nargin < 6
n = size(cams,2)... |
github | microsoft/ADBench-master | write_script.m | .m | ADBench-master/tools/matlab-common/write_script.m | 4,581 | utf_8 | 67c178880196f998d6bd1f9376097f68 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function write_script(script_fn,params,dir_in,dir_out,...
fns,tools,nruns_f,nruns_J,replicate_point)
if ~exist('replicate_point','var')
replicate_point = false;
end
isgmm = (numel(params{1}) == 3);
isba = (numel(params{1}) == 6);
ishand... |
github | microsoft/ADBench-master | get_tools_hand.m | .m | ADBench-master/tools/matlab-common/get_tools_hand.m | 4,054 | utf_8 | a3b344f5eefc29597caf67003c321e68 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function tools = get_tools_hand(exe_dir,python_dir,julia_dir)
% call_type:
% 0 standard - tools(id).run_cmd
% 1 theano - tools(id).run_cmd
% 2 ceres - tools(id).run_cmd+d+k
% 3 adimat
% 4 adimat sparse
% 5 mupad
% markers
cols = gene... |
github | microsoft/ADBench-master | to_pose_params.m | .m | ADBench-master/tools/matlab-common/to_pose_params.m | 905 | utf_8 | c0cf4aed644a06fcd1d66a534fd62bfa | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function pose_params = to_pose_params(theta,n_bones)
% to_pose_params !!!!!!!!!!!!!!! fixed order pose_params !!!!!
% 1) global_rotation 2) scale 3) global_translation
% 4) wrist
% 5) thumb1, 6)thumb2, 7) thumb3, 8) thumb4
% ... |
github | microsoft/ADBench-master | get_tools_ba.m | .m | ADBench-master/tools/matlab-common/get_tools_ba.m | 4,795 | utf_8 | 7426b98ee88a9c7ea5d400ec039ef0a8 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function tools = get_tools_ba(exe_dir,python_dir,julia_dir)
% call_type:
% 0 standard - tools(id).run_cmd
% 1 theano - tools(id).run_cmd
% 2 ceres - tools(id).run_cmd+d+k
% 3 adimat
% 4 adimat sparse
% 5 mupad
% markers
cols = genera... |
github | microsoft/ADBench-master | load_hand_instance.m | .m | ADBench-master/tools/matlab-common/load_hand_instance.m | 1,787 | utf_8 | a363e48f8725c82362bef5dcdc353979 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [params, data, us] = load_hand_instance(model_dir,fn)
bones_fn = fullfile(model_dir,'bones.txt');
A=readtable(bones_fn,'Delimiter',':','ReadVariableNames',false);
bone_names = table2cell(A(:,1));
n_bones = size(bone_names,1);
parents... |
github | microsoft/ADBench-master | is_up_to_date.m | .m | ADBench-master/tools/matlab-common/is_up_to_date.m | 320 | utf_8 | 682a45c6d7be8b9f2c04557c96902cde | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function out = is_up_to_date(results_fn,tool_fn)
if ~exist(results_fn,'file')
out = false;
return
end
a = dir(results_fn);
results_age = datetime(a.date);
b = dir(tool_fn);
tool_age = datetime(b.date);
out = (tool_age < results_age);
|
github | microsoft/ADBench-master | generate_random_ba_instance.m | .m | ADBench-master/tools/matlab-common/generate_random_ba_instance.m | 1,881 | utf_8 | b0e606d11d3930021fb5174ad6d37e06 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [cams,X,w,obs] = generate_random_ba_instance(n,m,p)
%GENERATE_RANDOM_BA_INSTANCE
% N is the number of cameras
% M is the number of points
% P is the number of observations
%
% CAMERAS c x n matrix containi... |
github | microsoft/ADBench-master | gmm_objective_vector_repmat.m | .m | ADBench-master/tools/matlab-common/gmm_objective_vector_repmat.m | 2,605 | utf_8 | e6a829b29e6bb2dd4b9e4fe08fdb10f1 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = gmm_objective_vector_repmat(alphas,means,inv_cov_factors,x,hparams)
% GMM_OBJECTIVE Evaluate GMM negative log likelihood for one point
% ALPHAS
% 1 x k vector of logs of mixture weights (unnormalized), ... |
github | microsoft/ADBench-master | plot_log_runtimes.m | .m | ADBench-master/tools/matlab-common/plot_log_runtimes.m | 916 | utf_8 | d41bf4c46fe5eb0bca8fc5cf65733c57 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function plot_log_runtimes( tools, times, xvals, title_, ylabel_,xlabel_)
lw = 2;
msz = 7;
[xvals, order] = sort(xvals);
figure;
to_show = 1:numel(tools); % all
emphasized = [];
% emphasized = [11 17 22];
for i=to_show
properties = {'linew... |
github | microsoft/ADBench-master | hand_objective_complicated.m | .m | ADBench-master/tools/matlab-common/hand_objective_complicated.m | 658 | utf_8 | 05f78396697dadecd265e50439f06dcb | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = hand_objective_complicated(theta, us, data)
%HAND_OBJECTIVE
pose_params = to_pose_params(theta, size(data.model.bone_names,1));
vertex_positions = get_skinned_vertex_positions(data.model, pose_params);
n_corr = numel(data.corre... |
github | microsoft/ADBench-master | get_tools_hand_complicated.m | .m | ADBench-master/tools/matlab-common/get_tools_hand_complicated.m | 3,580 | utf_8 | a551ce2492de2f8ef7925517ec6b0541 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function tools = get_tools_hand_complicated(exe_dir,python_dir,julia_dir)
% call_type:
% 0 standard - tools(id).run_cmd
% 1 theano - tools(id).run_cmd
% 2 ceres - tools(id).run_cmd+d+k
% 3 adimat
% 4 adimat sparse
% 5 mupad
% markers... |
github | microsoft/ADBench-master | load_gmm_instance.m | .m | ADBench-master/tools/matlab-common/load_gmm_instance.m | 1,085 | utf_8 | 28458897b7bfa54e4e2dcfc19d31fcd1 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function [params, x, hparams] = load_gmm_instance( fn, replicate_point )
%LOAD_GMM_INSTANCE
% format:
% d k n
% alpha1
% alpha2
% .
% alphak
% mean1 (in row)
% .
% ... |
github | microsoft/ADBench-master | logsumexp.m | .m | ADBench-master/tools/matlab-common/logsumexp.m | 275 | utf_8 | 67542bb7edb40d51af5c9c3ad614f249 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function out = logsumexp(x)
% LOGSUMEXP Compute log(sum(exp(x))) stably.
% X is k x n
% OUT is 1 x n
mx = max(x);
emx = exp(x - mx);
semx = sum(emx);
out = log(semx) + mx; |
github | microsoft/ADBench-master | generate_colors.m | .m | ADBench-master/tools/matlab-common/generate_colors.m | 721 | utf_8 | 178418a1364380de26d673b18d1fc130 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function cols_map = generate_colors()
cols_map = containers.Map;
cols_map('manual') = [230 159 0]/255; % orange
cols_map('tapenade') = [0 .8 .8]; % cyan
cols_map('adolc') = [0 114 178]/255; % blue
cols_map('adept') = [0 0 0]; % black
cols_m... |
github | microsoft/ADBench-master | ba_compute_reproj_err.m | .m | ADBench-master/tools/matlab-common/ba_compute_reproj_err.m | 1,004 | utf_8 | ba7930bd6b60ad3c6104795139f23025 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function err = ba_compute_reproj_err(cam,X,w,feat)
i_rot = 1:3;
i_C = 4:6;
i_f = 7;
i_princ_pt = 8:9;
i_rad_params = 10:11;
Xo = X - cam(i_C);
Xcam = rodrigues_rotate_point(cam(i_rot),Xo);
Xcam_e = Xcam(1:end-1)/Xcam(end);
distorted = radial_di... |
github | microsoft/ADBench-master | save_gmm_instance.m | .m | ADBench-master/tools/matlab-common/save_gmm_instance.m | 1,387 | utf_8 | 144f7671f3493eed3d35b6be9e8d47ea | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function save_gmm_instance(fn, params, x, hparams, n)
%SAVE_GMM_INSTANCE
% format:
% d k n
% alpha1
% alpha2
% .
% alphak
% mean1 (in row)
% .
% meank (in row)... |
github | microsoft/ADBench-master | create_nonzero_pattern_hand.m | .m | ADBench-master/tools/matlab-common/create_nonzero_pattern_hand.m | 952 | utf_8 | 1cef7b6c46689b69493ecc0f8b05d581 | % Copyright (c) Microsoft Corporation.
% Licensed under the MIT license.
function P = create_nonzero_pattern_hand(data)
weights = data.model.weights;
parents = data.model.parents;
global_params = [true(3) logical(eye(3))];
nnz = (weights(:,data.correspondences) ~= 0)';
[~,parents_order] = sort(parents,'descend');
... |
github | microsoft/ADBench-master | adimat_opdiff_esol_right.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_esol_right.m | 427 | utf_8 | 413a7b88c111b5e85e8a153899d0bb65 | % function r = adimat_opdiff_esol_right(t_val1, val1, val2)
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function t_res = adimat_opdiff_esol_right(t_val1, val1, val2)
t_res = adimat_op... |
github | microsoft/ADBench-master | adimat_opdiff_epow_right.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_epow_right.m | 557 | utf_8 | c50bed19031e5d694d8f8fa38bb291e3 | % function r = adimat_opdiff_epow_right(t_val1, val1, val2)
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function t_res = adimat_opdiff_epow_right(t_val1, val1, val2)
% compute a.^x as... |
github | microsoft/ADBench-master | adimat_opdiff_mult.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_mult.m | 900 | utf_8 | 4bf9b8026601e77c99c4f8a3883decda | % function r = adimat_opdiff_mult(t_val1, val1, t_val2, val2)
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function t_res = adimat_opdiff_mult(t_val1, val1, t_val2, val2)
if isscalar(v... |
github | microsoft/ADBench-master | adimat_opdiff_div_right.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_div_right.m | 654 | utf_8 | cf66805452e6ce21bf9d7a443d6e2330 | % function r = adimat_opdiff_div_right(g_val1, val1, val2)
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function r = adimat_opdiff_div_right(g_val1, val1, val2)
if isscalar(val1) || is... |
github | microsoft/ADBench-master | adimat_taylor_sinhcosh.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_taylor_sinhcosh.m | 1,093 | utf_8 | 2159cca55630249de8792edec654a727 | % function [t_sinh sinhx t_cosh coshx] = adimat_taylor_sinhcosh(t_x, x)
%
% Compute taylor coefficients of sinh(x) and cosh(x) simultaneously.
%
% see also admTaylorFor
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University.
%
function [t_sinh sinhx t_cosh coshx] = a... |
github | microsoft/ADBench-master | adimat_t_size.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_t_size.m | 493 | utf_8 | e8fb431e6df2985e55dd1969a295ab47 | % function sz = adimat_d_size(dval)
%
% Copyright 2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University.
% This code is under development! Use at your own risk! Duplication,
% modification and distribution FORBIDDEN!
function sz = adimat_t_size(dval)
sz = size(dval);
sz = sz... |
github | microsoft/ADBench-master | adimat_taylor_sqrt.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_taylor_sqrt.m | 737 | utf_8 | 29e704b5e5a98775b692d8eb2cbb8fc9 | % function [t_sqrt sqrtx] = adimat_taylor_sqrt(t_x, x)
%
% Compute taylor coefficients of sqrt(x).
%
% see also admTaylorFor
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University.
%
function [t_sqrt sqrtx] = adimat_taylor_sqrt(t_x, x)
[ndd maxOrder nel] = size(t_x... |
github | microsoft/ADBench-master | adimat_opdiff_sol_left.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_sol_left.m | 656 | utf_8 | d5be08d440f461d55d3d7423ff87c623 | % function r = adimat_opdiff_sol_left(val1, g_val2, val2)
%
% Copyright 2010,2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function r = adimat_opdiff_sol_left(val1, g_val2, val2)
if isscalar(val1) ||... |
github | microsoft/ADBench-master | adimat_opdiff_epow.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_epow.m | 570 | utf_8 | 67ca8fe8d276df2ac5d4cc807b5133bc | % function t_res = adimat_opdiff_epow(g_val1, val1, g_val2, val2)
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function [t_res res] = adimat_opdiff_epow(t_val1, val1, t_val2, val2)
% c... |
github | microsoft/ADBench-master | d_struct.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/d_struct.m | 657 | utf_8 | 0e7296d9c5197d67180b23a06fa477b8 | % function varargout = d_struct(varargin)
% Create zero derivative object of struct objects
%
% see also d_zeros, a_struct
%
% This file is part of the ADiMat runtime environment
%
function varargout = d_struct(varargin)
for i=1:nargin
res = repmat(struct(), size(varargin{i}));
fns = fieldnames(varargin{i})... |
github | microsoft/ADBench-master | adimat_opdiff_ediv_left.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_ediv_left.m | 475 | utf_8 | 1766a9fe9d823594f2d741a689cc07e9 | % function r = adimat_opdiff_ediv_left(v1, t_v2, v2)
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function [t_res res] = adimat_opdiff_ediv_left(v1, t_v2, v2)
[t_v2i v2i] = adimat_tayl... |
github | microsoft/ADBench-master | adimat_taylor_logs.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_taylor_logs.m | 978 | utf_8 | 62c9a5dd0afa697ae37add3be0ba6bdf | % function [t_log logx] = adimat_taylor_logs(t_x, x, mode)
%
% Compute taylor coefficients of functions log, log2, log10, and log1p.
%
% see also admTaylorFor
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University.
%
function [t_log logx] = adimat_taylor_logs(t_x, x,... |
github | microsoft/ADBench-master | adimat_opdiff_pow.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/tvector_directderivs/adimat_opdiff_pow.m | 1,663 | utf_8 | 9aab60a0ad8c6f738381c5d7b580ad4e | % function r = adimat_opdiff_pow(t_val1, val1, t_val2, val2)
%
% Copyright 2010,2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment
%
function t_res = adimat_opdiff_pow(t_val1, val1, t_val2, val2)
if isscalar(... |
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