plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | ElsevierSoftwareX/SOFTX-D-15-00046-master | LFITv2_GUI_Prerun.m | .m | SOFTX-D-15-00046-master/LFITv2_GUI_Prerun.m | 28,516 | utf_8 | 91f533880ece7acf187e1c2e812f4614 | function varargout = LFITv2_GUI_Prerun(varargin)
%LFITV2_GUI_PRERUN M-file for LFITv2_GUI_Prerun.fig
% LFITV2_GUI_PRERUN, by itself, creates a new LFITV2_GUI_PRERUN or raises
% the existing singleton*.
%
% H = LFITV2_GUI_PRERUN returns the handle to a new LFITV2_GUI_PRERUN or
% the handle to the existing singleton*.
%
... |
github | ElsevierSoftwareX/SOFTX-D-15-00046-master | lfiQuery.m | .m | SOFTX-D-15-00046-master/LFITv2/@lfiQuery/lfiQuery.m | 13,446 | utf_8 | ba5edbfeae4c7d2074884829a2b22eff | classdef lfiQuery
%LFIQUERY Creates a light field image (lfi) reconstruction query.
%
% Use this function to craft a query to be used with GENREFOCUS or
% PERSPECTIVEGEN. The user must create a new query, selecting either focus
% or perspective as the reconstruction type. Then the user may (optionally)
% refine the que... |
github | menicgiulia/Code_network_ensembles-master | configurationp.m | .m | Code_network_ensembles-master/configurationp.m | 1,176 | utf_8 | b28dd865fcc32c0a4bf31febf68b3732 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%INPUT
% ppvec unweighted undirected adjacency matrix (vector=squareform(matrix))
% n number of nodes
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%OUTPUT
% S_c canonical entropy
% P link probabilit... |
github | menicgiulia/Code_network_ensembles-master | spatialp.m | .m | Code_network_ensembles-master/spatialp.m | 2,475 | utf_8 | 33142b35563040d13d772d91da28e289 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%INPUT
% ppvec unweighted undirected adjacency matrix (vector=squareform(matrix))
% ddvec matrix of distances between each node i and node j of the network (vector=squareform(matrix))
% n number of nodes
% Nd number of bins Nd that we co... |
github | menicgiulia/Code_network_ensembles-master | spatial.m | .m | Code_network_ensembles-master/spatial.m | 2,606 | utf_8 | 7cce016372d50ec34b1a7a2baa6c1c9a | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%INPUT
% pp undirected adjacency matrix
% dd matrix of distances between each node i and node j of the network
% Nd number of bins Nd that we consider in the distance classification
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | menicgiulia/Code_network_ensembles-master | configuration.m | .m | Code_network_ensembles-master/configuration.m | 1,173 | utf_8 | 19088acc0c57e1fe16a2b948dfb2b059 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%INPUT
% pp unweighted undirected adjacency matrix
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%OUTPUT
% S_c canonical entropy
% P link probability matrix
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | kdeeleymath/Nottingham_Workshop-master | findBestPredictors.m | .m | Nottingham_Workshop-master/findBestPredictors.m | 9,338 | utf_8 | 8f94c754824cc7d51585229ea7f1c5dc | function predictorRankings = findBestPredictors()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and IDNum)... |
github | kdeeleymath/Nottingham_Workshop-master | test_getwords.m | .m | Nottingham_Workshop-master/Exercises/test_getwords.m | 317 | utf_8 | 2bae8706e6d193f0bb92b289f9ee37dc | function tests = test_getwords
tests = functiontests( localfunctions() );
end
function setupOnce(testCase) %#ok<*DEFNU>
end
function test_IncorrectFilename(testCase)
end
function test_AllWords(testCase)
end
function test_MaxFreq(testCase)
end
function teardownOnce(testCase)
end |
github | kdeeleymath/Nottingham_Workshop-master | test_strdist.m | .m | Nottingham_Workshop-master/Exercises/test_strdist.m | 317 | utf_8 | ea708a232f2237977523114f05455472 | function tests = test_strdist
tests = functiontests( localfunctions() );
end
function setupOnce(testCase) %#ok<*DEFNU>
end
function test_OneWord(testCase)
end
function test_ThreeWords(testCase)
end
function test_DimensionsOutput(testCase)
end
function teardownOnce(testCase)
end |
github | kdeeleymath/Nottingham_Workshop-master | strdist.m | .m | Nottingham_Workshop-master/Exercises/strdist.m | 2,158 | utf_8 | 6ab55cc7d8ba784c89d28152922a8c0a | function d = strdist( varargin )
% STRDIST: Computes the Levenshtein distance between two strings.
% Inputs can be two strings, one string and a cell array of strings,
% or two cell arrays containing strings.
if nargin == 1
s = varargin{1};
if ischar(s)
d = 0;
... |
github | kdeeleymath/Nottingham_Workshop-master | test_getwords_sol.m | .m | Nottingham_Workshop-master/Exercises/test_getwords_sol.m | 1,304 | utf_8 | a2da8735551545c0d0415b8ddcd22629 | function tests = test_getwords_sol
tests = functiontests( localfunctions() );
end
function setupOnce(testCase) %#ok<*DEFNU>
W = textscan(path, '%s', 'Delimiter', ';');
W = W{1};
testCase.TestData.folderOnPath = any(strcmp(W, 'C:\Users\kdeeley\Desktop\MathWorks\Training\2014 Q1\CC01_Manchester_University_J... |
github | kdeeleymath/Nottingham_Workshop-master | test_strdist_sol.m | .m | Nottingham_Workshop-master/Exercises/test_strdist_sol.m | 1,027 | utf_8 | 123938e0649e800ec760494d8ae80d8f | function tests = test_strdist_sol
tests = functiontests( localfunctions() );
end
function setupOnce(testCase) %#ok<*DEFNU>
% Add the test data folder to the path.
addpath('STRDIST_Test_Data')
% Load data from the words.mat file.
testCase.TestData = load('words.mat');... |
github | kdeeleymath/Nottingham_Workshop-master | test_repblank_sol.m | .m | Nottingham_Workshop-master/Exercises/test_repblank_sol.m | 854 | utf_8 | 4ae8011b5b26d9daf9159a0494062830 | function tests = test_repblank_sol
tests = functiontests( localfunctions() );
end
function test_OneBlank(testCase) %#ok<*DEFNU>
actSolution = repblank('this is');
expSolution = 'this_is';
verifyEqual(testCase, actSolution, expSolution);
end
function test_ManyBlank(testCase)
actSolution = repblank('this... |
github | kdeeleymath/Nottingham_Workshop-master | repblank.m | .m | Nottingham_Workshop-master/Exercises/repblank.m | 1,570 | utf_8 | 24ca0425a34dcb6caa98cecbfa3a5558 | function output_list = repblank( varargin )
%REPBLANK Replaces blanks with underscores. This function receives any
% string as input, and returns a modified string obtained by replacing all
% white spaces " " by underscores "_". Leading and trailing white space
% is removed rather than replaced with underscores.... |
github | kdeeleymath/Nottingham_Workshop-master | test_repblank.m | .m | Nottingham_Workshop-master/Exercises/test_repblank.m | 276 | utf_8 | 0127e14d62af5e2f7b14a9427da0af20 | function tests = test_repblank
tests = functiontests( localfunctions() );
end
function test_OneBlank(testCase) %#ok<*DEFNU>
end
function test_ManyBlank(testCase)
end
function test_FirstBlank(testCase)
end
function test_LastBlank(testCase)
end
|
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_V3.m | .m | Nottingham_Workshop-master/InstructorMaterials/F04_findBestPredictors_V3.m | 9,719 | utf_8 | 908c1b731cccb52e6d0ce8584c694306 | function predictorRankings = F04_findBestPredictors_V3()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and... |
github | kdeeleymath/Nottingham_Workshop-master | test_F03_fitQuadModel_005.m | .m | Nottingham_Workshop-master/InstructorMaterials/test_F03_fitQuadModel_005.m | 5,255 | utf_8 | 087f184f9f7c0f42c28265474da9da9d | function tests = test_F03_fitQuadModel_005
% TEST_FITQUADMODEL Main test function for the algorithm implemented in
% fitQuadModel. To run the tests defined here, use RUNTESTS.
% See also F02_fitQuadModel, runtests.
% Test array constructed from local functions in this file.
tests = functi... |
github | kdeeleymath/Nottingham_Workshop-master | F02_fitQuadModel_002.m | .m | Nottingham_Workshop-master/InstructorMaterials/F02_fitQuadModel_002.m | 559 | utf_8 | 2c3b9c05ad1061a5162011a593cb856e | function [modelCoeffs, fh] = F02_fitQuadModel_002(X, y, showplot)
% FITQUADMODEL Fits a quadratic model to the response data y using the
% columns of X as regressors. X has one or two columns; y is a vector with
% the same number of rows as X.
end % main function fitQuadModel
function... |
github | kdeeleymath/Nottingham_Workshop-master | test_F03_fitQuadModel_002.m | .m | Nottingham_Workshop-master/InstructorMaterials/test_F03_fitQuadModel_002.m | 785 | utf_8 | 79cbbb096af797786038c556dd1aef2f | function tests = test_F03_fitQuadModel_002
% TEST_FITQUADMODEL Main test function for the algorithm implemented in
% fitQuadModel. To run the tests defined here, use RUNTESTS.
% See also F02_fitQuadModel, runtests.
% Test array constructed from local functions in this file.
tests = functi... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_V2.m | .m | Nottingham_Workshop-master/InstructorMaterials/F04_findBestPredictors_V2.m | 9,730 | utf_8 | 4a625ed3ca4c039f9de51850130ec1a8 | function predictorRankings = F04_findBestPredictors_V2()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and... |
github | kdeeleymath/Nottingham_Workshop-master | F02_fitQuadModel_006.m | .m | Nottingham_Workshop-master/InstructorMaterials/F02_fitQuadModel_006.m | 3,540 | utf_8 | 6a1cab01c11a56548b27548da357ca38 | function [modelCoeffs, fh] = F02_fitQuadModel_006(X, y, showplot)
% FITQUADMODEL Fits a quadratic model to the response data y using the
% columns of X as regressors. X has one or two columns; y is a vector with
% the same number of rows as X.
% Check user input.
narginchk(2, 3)
if n... |
github | kdeeleymath/Nottingham_Workshop-master | test_F03_fitQuadModel_003.m | .m | Nottingham_Workshop-master/InstructorMaterials/test_F03_fitQuadModel_003.m | 1,280 | utf_8 | 2574acd7d6ca548c9667fc06d3373bc4 | function tests = test_F03_fitQuadModel_003
% TEST_FITQUADMODEL Main test function for the algorithm implemented in
% fitQuadModel. To run the tests defined here, use RUNTESTS.
% See also F02_fitQuadModel, runtests.
% Test array constructed from local functions in this file.
tests = functi... |
github | kdeeleymath/Nottingham_Workshop-master | test_F03_fitQuadModel_004.m | .m | Nottingham_Workshop-master/InstructorMaterials/test_F03_fitQuadModel_004.m | 3,040 | utf_8 | 351ce14612f28e652de976c394369c20 | function tests = test_F03_fitQuadModel_004
% TEST_FITQUADMODEL Main test function for the algorithm implemented in
% fitQuadModel. To run the tests defined here, use RUNTESTS.
% See also F02_fitQuadModel, runtests.
% Test array constructed from local functions in this file.
tests = functi... |
github | kdeeleymath/Nottingham_Workshop-master | F02_fitQuadModel_003.m | .m | Nottingham_Workshop-master/InstructorMaterials/F02_fitQuadModel_003.m | 2,171 | utf_8 | 06e8cafe12a71f83bc68668b4ae50318 | function [modelCoeffs, fh] = F02_fitQuadModel_003(X, y, showplot)
% FITQUADMODEL Fits a quadratic model to the response data y using the
% columns of X as regressors. X has one or two columns; y is a vector with
% the same number of rows as X.
% Clean the data.
[XClean, yClean] = ... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_Final.m | .m | Nottingham_Workshop-master/InstructorMaterials/F04_findBestPredictors_Final.m | 9,742 | utf_8 | a0f63fedf6ad591803e988c441b6603d | function predictorRankings = F04_findBestPredictors_Final()
% F04_FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, ... |
github | kdeeleymath/Nottingham_Workshop-master | F02_fitQuadModel_004.m | .m | Nottingham_Workshop-master/InstructorMaterials/F02_fitQuadModel_004.m | 2,216 | utf_8 | 299db65e431e9ab1c2825b750a085365 | function [modelCoeffs, fh] = F02_fitQuadModel_004(X, y, showplot)
% FITQUADMODEL Fits a quadratic model to the response data y using the
% columns of X as regressors. X has one or two columns; y is a vector with
% the same number of rows as X.
if nargin < 3, showplot = false; end
... |
github | kdeeleymath/Nottingham_Workshop-master | F02_fitQuadModel_005.m | .m | Nottingham_Workshop-master/InstructorMaterials/F02_fitQuadModel_005.m | 2,529 | utf_8 | 3849310e35846af042866f30cd899762 | function [modelCoeffs, fh] = F02_fitQuadModel_005(X, y, showplot)
% FITQUADMODEL Fits a quadratic model to the response data y using the
% columns of X as regressors. X has one or two columns; y is a vector with
% the same number of rows as X.
% Check user input.
narginchk(2, 3)
if n... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_V1.m | .m | Nottingham_Workshop-master/InstructorMaterials/F04_findBestPredictors_V1.m | 9,412 | utf_8 | 3c5d7fde164a1ba41b6411685168376a | function predictorRankings = F04_findBestPredictors_V1()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_V3.m | .m | Nottingham_Workshop-master/Reference/F04_findBestPredictors_V3.m | 9,719 | utf_8 | 908c1b731cccb52e6d0ce8584c694306 | function predictorRankings = F04_findBestPredictors_V3()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and... |
github | kdeeleymath/Nottingham_Workshop-master | test_F03_fitQuadModel.m | .m | Nottingham_Workshop-master/Reference/test_F03_fitQuadModel.m | 5,251 | utf_8 | 4bd1ea2cd4879dcb86f6831e02c79a71 | function tests = test_F03_fitQuadModel
% TEST_FITQUADMODEL Main test function for the algorithm implemented in
% fitQuadModel. To run the tests defined here, use RUNTESTS.
% See also F02_fitQuadModel, runtests.
% Test array constructed from local functions in this file.
tests = functionte... |
github | kdeeleymath/Nottingham_Workshop-master | inPlaceExample.m | .m | Nottingham_Workshop-master/Reference/inPlaceExample.m | 946 | utf_8 | bd84bab6066b26a5435d5ebaf03ff280 | function inPlaceExample()
% Create an array occupying about 2% of available memory.
m = memory;
mSize = round(sqrt(0.02*m.MemAvailableAllArrays/8));
A = rand(mSize);
disp('Memory available after creating large array (GB):')
m = memory;
disp(m.MemAvailableAllArrays/1073741824)
A = iNotInPlace(A);
disp('Me... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_V2.m | .m | Nottingham_Workshop-master/Reference/F04_findBestPredictors_V2.m | 9,730 | utf_8 | 4a625ed3ca4c039f9de51850130ec1a8 | function predictorRankings = F04_findBestPredictors_V2()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_Final.m | .m | Nottingham_Workshop-master/Reference/F04_findBestPredictors_Final.m | 9,742 | utf_8 | a0f63fedf6ad591803e988c441b6603d | function predictorRankings = F04_findBestPredictors_Final()
% F04_FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, ... |
github | kdeeleymath/Nottingham_Workshop-master | F02_fitQuadModel.m | .m | Nottingham_Workshop-master/Reference/F02_fitQuadModel.m | 3,536 | utf_8 | a09891863d81c151df4231415bb91a7f | function [modelCoeffs, fh] = F02_fitQuadModel(X, y, showplot)
% FITQUADMODEL Fits a quadratic model to the response data y using the
% columns of X as regressors. X has one or two columns; y is a vector with
% the same number of rows as X.
% Check user input.
narginchk(2, 3)
if nargi... |
github | kdeeleymath/Nottingham_Workshop-master | F04_findBestPredictors_V1.m | .m | Nottingham_Workshop-master/Reference/F04_findBestPredictors_V1.m | 9,412 | utf_8 | 3c5d7fde164a1ba41b6411685168376a | function predictorRankings = F04_findBestPredictors_V1()
% FINDBESTPREDICTORS: Function ranking pairs of predictor variables
% in the medical data based on their ability to correctly classify an
% individual's BMI category. We want to find the best two predictors
% (excluding height, weight, BMI and... |
github | mateuszanatta/AASP-GPS-master | gen_signal.m | .m | AASP-GPS-master/gen_signal.m | 1,921 | utf_8 | 8a4286d5185d3673b217969fe1ab227b | %% function gen_signal
% generates a sampled gnss signal provided a chip-sequence and a pulse
%% copyright note
% Copyright (c) 2012 Manuel Stein
% Technische Universit?t M?nchen
% Department of Electrical Engineering and Information Technology
% Institute for Circuit Theory and Signal Processing
% Email : manuel.stei... |
github | mateuszanatta/AASP-GPS-master | sine_integral.m | .m | AASP-GPS-master/sine_integral.m | 1,273 | utf_8 | 1cef56aa34dcf7032062592a250c6344 | %% sine_integral
% calculates the sine integral
%% input parameters
% input: sine integral parameter
%% output parameters
% output: sine integral value
%% copyright note
% Copyright (c) 2012 Manuel Stein
% Technische Universit?t M?nchen
% Department of Electrical Engineering and Information Technology
% Institute fo... |
github | mateuszanatta/AASP-GPS-master | gen_signal2.m | .m | AASP-GPS-master/gen_signal2.m | 1,966 | utf_8 | 9935ab8a966f053f0a137846c484ffcd | %% function gen_signal
% generates a sampled gnss signal provided a chip-sequence and a pulse
%% copyright note
% Copyright (c) 2012 Manuel Stein
% Technische Universit?t M?nchen
% Department of Electrical Engineering and Information Technology
% Institute for Circuit Theory and Signal Processing
% Email : man... |
github | mateuszanatta/AASP-GPS-master | spatialsmooth_meastensor.m | .m | AASP-GPS-master/spatialsmooth_meastensor.m | 1,444 | utf_8 | 2873da3c16289b29fae8eb5c3fa3d9c1 | function X_ss = spatialsmooth_meastensor(X,L,sp)
% X = [M1, M2, ..., MR, N]
% X_ss = [Msub1, Msub2, ..., MsubR, N*prod(L)]
% Msubr = Mr - L(r) + 1
% [10,1]
% [5]
% [6,5]
S = size(X);
R = length(S) - 1;
if length(L) ~= R
S = [S, ones(1,length(L)-length(S)+1)]; % Append singleton dimensions for s... |
github | mateuszanatta/AASP-GPS-master | gen_pulse_rect_bp.m | .m | AASP-GPS-master/gen_pulse_rect_bp.m | 1,447 | utf_8 | 3f6e62ae45de26e9208d7c6fd97926e9 | %% gen_pulse_rect_bp
% samples a bandlimited rectangular pulse shape
%% input parameters
% B: bandwidth ( zB 1.023e6 )
% rho: oversampling factor
% Lc: code length
% Ti: code duration
% Nc: number of chips (duration of pulse)
%% output parameters
% pulse: two-column vector, first column sample times, second column va... |
github | mateuszanatta/AASP-GPS-master | power_norm_rec_bp.m | .m | AASP-GPS-master/power_norm_rec_bp.m | 1,235 | utf_8 | 3e55115e89f095f96c8bb377259dcc30 | %% power_norm_rec_bp
% calculates power normalization factor for a bandlimited rectangular pulse
%% input parameters
% B: bandwidth ( zB 1.023e6 )
%% output parameters
% pnorm: normalization factor
%% copyright note
% Copyright (c) 2012 Manuel Stein
% Technische Universit?t M?nchen
% Department of Electrical Enginee... |
github | mateuszanatta/AASP-GPS-master | gen_ca_code.m | .m | AASP-GPS-master/gen_ca_code.m | 2,338 | utf_8 | 6fe18ce822edde0531474adc411d48ae | %% function gen_ca_code
% Generates GPS C/A code as specified in the document
%
% INTERFACE SPECIFICATION IS-GPS-200 Revision D 7 December 2004
%
% Here the code is represented at levels : -1 for 1
% 1 for 0
%% input parameters
% satID: satellite number (1 ... 36)
% satID 37 pr... |
github | mateuszanatta/AASP-GPS-master | setSettings.m | .m | AASP-GPS-master/AASP_2016/GNSS_SDR/setSettings.m | 16,264 | utf_8 | dcc4d2b34e2cd3eb4f1fb1a80e1276f9 | function varargout = setSettings(varargin)
% SETSETTINGS M-file for setSettings.fig
% SETSETTINGS, by itself, creates a new SETSETTINGS or raises the existing
% singleton*.
%
% H = SETSETTINGS returns the handle to a new SETSETTINGS or the handle to
% the existing singleton*.
%
% SETSET... |
github | VahanaOpenSource/flight-design-tools-master | runPolars.m | .m | flight-design-tools-master/xfoil/runPolars.m | 9,856 | utf_8 | 8f01143ec42910d203b92db1b2deb307 | %%%%%
% Copyright (c) 2016 Zach Hazen & A^3 by Airbus Group
%
% Permission is hereby granted, free of charge, to any person obtaining a copy of
% this software and associated documentation files (the "Software"), to deal in
% the Software without restriction, including without limitation the rights to
% use, copy, modi... |
github | VahanaOpenSource/flight-design-tools-master | plotAirfoil.m | .m | flight-design-tools-master/xfoil/plotAirfoil.m | 1,753 | utf_8 | bcfd5380ca9dea25b572234921f672ee | %%%%%
% Copyright (c) 2016 Zach Hazen & A^3 by Airbus Group
%
% Permission is hereby granted, free of charge, to any person obtaining a copy of
% this software and associated documentation files (the "Software"), to deal in
% the Software without restriction, including without limitation the rights to
% use, copy, modi... |
github | VahanaOpenSource/flight-design-tools-master | importPolars.m | .m | flight-design-tools-master/xfoil/importPolars.m | 3,313 | utf_8 | 45070d568b069f58a9aaab115cf18cd2 | %%%%%
% Copyright (c) 2016 Zach Hazen & A^3 by Airbus Group
%
% Permission is hereby granted, free of charge, to any person obtaining a copy of
% this software and associated documentation files (the "Software"), to deal in
% the Software without restriction, including without limitation the rights to
% use, copy, modi... |
github | tamchau2809/LinphoneAndroid-master | echo_diagnostic.m | .m | LinphoneAndroid-master/submodules/externals/speex/libspeex/echo_diagnostic.m | 2,076 | utf_8 | 8d5e7563976fbd9bd2eda26711f7d8dc | % Attempts to diagnose AEC problems from recorded samples
%
% out = echo_diagnostic(rec_file, play_file, out_file, tail_length)
%
% Computes the full matrix inversion to cancel echo from the
% recording 'rec_file' using the far end signal 'play_file' using
% a filter length of 'tail_length'. The output is saved to 'o... |
github | tamchau2809/LinphoneAndroid-master | rtpAnalyze.m | .m | LinphoneAndroid-master/submodules/mswebrtc/webrtc/tools/matlab/rtpAnalyze.m | 7,892 | utf_8 | 46e63db0fa96270c14a0c205bbab42e4 | function rtpAnalyze( input_file )
%RTP_ANALYZE Analyze RTP stream(s) from a txt file
% The function takes the output from the command line tool rtp_analyze
% and analyzes the stream(s) therein. First, process your rtpdump file
% through rtp_analyze (from command line):
% $ out/Debug/rtp_analyze my_file.rtp my_f... |
github | tamchau2809/LinphoneAndroid-master | apmtest.m | .m | LinphoneAndroid-master/submodules/mswebrtc/webrtc/webrtc/modules/audio_processing/test/apmtest.m | 9,470 | utf_8 | ad72111888b4bb4b7c4605d0bf79d572 | function apmtest(task, testname, filepath, casenumber, legacy)
%APMTEST is a tool to process APM file sets and easily display the output.
% APMTEST(TASK, TESTNAME, CASENUMBER) performs one of several TASKs:
% 'test' Processes the files to produce test output.
% 'list' Prints a list of cases in the test set,... |
github | tamchau2809/LinphoneAndroid-master | plot_neteq_delay.m | .m | LinphoneAndroid-master/submodules/mswebrtc/webrtc/webrtc/modules/audio_coding/neteq/test/delay_tool/plot_neteq_delay.m | 5,563 | utf_8 | 8b6a66813477863da513b1e6971dbc97 | function [delay_struct, delayvalues] = plot_neteq_delay(delayfile, varargin)
% InfoStruct = plot_neteq_delay(delayfile)
% InfoStruct = plot_neteq_delay(delayfile, 'skipdelay', skip_seconds)
%
% Henrik Lundin, 2006-11-17
% Henrik Lundin, 2011-05-17
%
try
s = parse_delay_file(delayfile);
catch
error(lasterr);
e... |
github | conner99/caffe-master | classification_demo.m | .m | caffe-master/matlab/demo/classification_demo.m | 5,412 | utf_8 | 8f46deabe6cde287c4759f3bc8b7f819 | function [scores, maxlabel] = classification_demo(im, use_gpu)
% [scores, maxlabel] = classification_demo(im, use_gpu)
%
% Image classification demo using BVLC CaffeNet.
%
% IMPORTANT: before you run this demo, you should download BVLC CaffeNet
% from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html)
%
% *****... |
github | ahbarnett/BIE2D-master | fig_lapconvK1.m | .m | BIE2D-master/doublyperiodic/fig_lapconvK1.m | 11,601 | utf_8 | c2453cbaaf467699775bd8ef1b668792 | function fig_lapconvK1
% Laplace Neu periodic BVP, convergence and soln plots. Single inclusion (K=1).
% All dense matrices, native quadr for solve, close eval for plot.
% Barnett, cleaned up from perineu2dnei1.m 5/11/16.
% Small codes broken out 6/12/16 (no longer self-contained); BIE2D 6/29/16
% X,y,r notation & non-... |
github | ahbarnett/BIE2D-master | discarray_effcond.m | .m | BIE2D-master/doublyperiodic/discarray_effcond.m | 6,827 | utf_8 | 0cd727ae0e5af132cf84c4aaab8f83c8 | function discarray_effcond
% Effective conductivity (kappa) of infinite disc array.
% Laplace BVP, single inclusion (K=1), native quad for matrix fill, ELS.
% Adapted from fig_discarray_drag. Uses helsingeffcond.m
% Barnett 9/27/17. Fixed close and reparam 9/28/17
warning('off','MATLAB:nearlySingularMatrix') % backwa... |
github | ahbarnett/BIE2D-master | stoK1_subdrop.m | .m | BIE2D-master/doublyperiodic/stoK1_subdrop.m | 15,530 | utf_8 | 4feac418125ff99c5349eaa9f66f40b7 | function stoK1_subdrop
% version of fig_stoconvK1, doubly-periodic 2D pressure-driven Stokes solver.
% Single inclusion (K=1), native quad for matrix fill, close eval for soln.
% Try subtraction of pressure drop via "scattering" split to u = v + w,
% with w solved by GMRES on a mocked-up perifmm.
%
% This version works... |
github | ahbarnett/BIE2D-master | tbl_discarray_effcond.m | .m | BIE2D-master/doublyperiodic/tbl_discarray_effcond.m | 6,764 | utf_8 | b925bed5cfcbc409931d694fb40dae0c | function tbl_discarray_effcond
% Make table of effective conductivity (kappa) of infinite disc array, to match
% some of Table 2 of J. Helsing, Proc Roy Lond Soc A, 1994.
% Laplace BVP, single inclusion (K=1), native quad for matrix fill, ELS.
% Adapted from fig_discarray_drag. Uses helsingeffcond.m
% Barnett 9/27/17. ... |
github | ahbarnett/BIE2D-master | stoK1_subdrop_old.m | .m | BIE2D-master/doublyperiodic/stoK1_subdrop_old.m | 14,396 | utf_8 | 76a541d7b0a9416afa7cd92c994fc421 | function stoK1_subdrop
% version of fig_stoconvK1, doubly-periodic 2D pressure-driven Stokes solver.
% Single inclusion (K=1), native quad for matrix fill, close eval for soln.
% Try subtraction of pressure drop via "scattering" split to u = v + w,
% with w solved by GMRES on mocked-up perifmm.
% Conclusion: tilde-pert... |
github | ahbarnett/BIE2D-master | fig_lapQconv.m | .m | BIE2D-master/doublyperiodic/fig_lapQconv.m | 4,226 | utf_8 | 53cb37327b9b69b670d62166e6490497 | function fig_lapQconv
% make figs for doubly periodic empty BVP convergence, Laplace case.
% All matrix-filling, native quadr.
% Barnett 5/9/16, adapted from perineu2dnei1.m. bie2d 6/29/16
warning('off','MATLAB:nearlySingularMatrix') % backward-stable ill-cond is ok!
warning('off','MATLAB:rankDeficientMatrix')
lso.RE... |
github | ahbarnett/BIE2D-master | fig_stoconvK1.m | .m | BIE2D-master/doublyperiodic/fig_stoconvK1.m | 14,352 | utf_8 | 04b49a23babb6095557eaf0a75bf83cc | function fig_stoconvK1
% make Stokes no-slip periodic convergence and soln plots.
% Single inclusion (K=1), native quad for matrix fill, close eval for soln.
% Adapted from fig_lapconvK1.m
% Barnett 6/7/16. 6/30/16 brought into BIE2D.
% X,y,R,H notation, Gary's V=CH, Alex's nullspace fix, nonrandom. 8/17/16
warning('o... |
github | ahbarnett/BIE2D-master | tbl_discarray_drag.m | .m | BIE2D-master/doublyperiodic/tbl_discarray_drag.m | 7,934 | utf_8 | d8f267701cfcdf9fb46e2a2508f94771 | function tbl_discarray_drag
% Generate table of dimensionless drag of regular array of discs, to match
% Table 1 of Greengard-Kropinski, J. Engs. Math. 48: 157–170, 2004.
% Single inclusion (K=1), native quad for matrix fill, ELS.
% Adapted from fig_stoconvK1.m
% Barnett 8/2/16, graded parameterization 10/7/17
warning... |
github | ahbarnett/BIE2D-master | stoK1_subdrop_data_not_in_range.m | .m | BIE2D-master/doublyperiodic/stoK1_subdrop_data_not_in_range.m | 15,068 | utf_8 | 20c3c081e74906b25be1ed4c3bac353d | function stoK1_subdrop
% version of fig_stoconvK1, doubly-periodic 2D pressure-driven Stokes solver.
% Single inclusion (K=1), native quad for matrix fill, close eval for soln.
% Try subtraction of pressure drop via "scattering" split to u = v + w,
% with w solved by GMRES on mocked-up perifmm.
% Conclusion: tilde-pert... |
github | ahbarnett/BIE2D-master | fig_stoQconv.m | .m | BIE2D-master/doublyperiodic/fig_stoQconv.m | 3,497 | utf_8 | 838064073588a49d7f6071d4c69954d6 | function fig_stoQconv
% Makes figs for doubly-periodic empty BVP convergence, Stokes.
% Barnett 5/28/16. Adapted from fig_lapQconv.m. BIE2D 6/29/16
warning('off','MATLAB:nearlySingularMatrix') % backward-stable ill-cond is ok!
warning('off','MATLAB:rankDeficientMatrix')
lso.RECT = true; % linsolve opts, forces QR ... |
github | ahbarnett/BIE2D-master | perispecint.m | .m | BIE2D-master/utils/perispecint.m | 1,392 | utf_8 | 87d49dc8e157443f20a2f45659b2f554 | function g = perispecint(f)
% PERISPECINT - use FFT to take periodic spectral antiderivative of vector
%
% g = perispecint(f) returns g an antiderivative of the spectral interpolant
% of f, which is assumed to be the values of a smooth 2pi-periodic function
% at the N gridpoints 2.pi.j/N, for j=1,..,N (or any transla... |
github | ahbarnett/BIE2D-master | showsegment.m | .m | BIE2D-master/utils/showsegment.m | 1,213 | utf_8 | 3672151c11b3e1fd043630c3b5e1bb20 | function h = showsegment(s, trlist)
% SHOWSEGMENT plot segment(s) & possibly translated copies
%
% h = showsegment(s) where s is segment struct with s.x nodes, optionally s.nx
% normal vectors, adds to the current axes a plot of the segment.
% If s is a cell array of segment structs, it plots all of them.
%
% h = s... |
github | ahbarnett/BIE2D-master | gauss.m | .m | BIE2D-master/utils/gauss.m | 287 | utf_8 | cc60b6c98d11c710bbcbce2f5a42802b | % GAUSS nodes x (Legendre points) and weights w
% for Gauss quadrature on [-1,1], for N small (<100). Trefethen book.
function [x,w] = gauss(N)
beta = .5./sqrt(1-(2*(1:N-1)).^(-2));
T = diag(beta,1) + diag(beta,-1);
[V,D] = eig(T);
x = diag(D); [x,i] = sort(x);
w = 2*V(1,i).^2;
|
github | ahbarnett/BIE2D-master | perispecinterparb.m | .m | BIE2D-master/utils/perispecinterparb.m | 2,346 | utf_8 | cd29919f245445a6d8f318ef61045547 | function [g gfun] = perispecinterparb(f,t)
% PERISPECINTERPARB interpolate grid-sampled periodic function to arb targets
%
% [g gfun] = perispecinterparb(f,t)
% inputs: f - (row or column) vector length n (must be even) of input samples
% t - list of ordinates to evaluate at (periodic wrt [0,2pi))
% outputs:... |
github | ahbarnett/BIE2D-master | bisect.m | .m | BIE2D-master/utils/bisect.m | 1,505 | utf_8 | 22b7f99561b8426a5a94fdc33ac11a70 | function [x,nsteps] = bisect(f,a,b,tol)
% BISECT Conduct bisection search to find root of 1D function in interval.
%
% x = bisect(f,a,b) estimates x where f(x) changes sign in [a,b].
%
% x = bisect(f,a,b,tol) controls the absolute tolerance in x to reach
% (the default is 1e-6).
%
% [x, nsteps] = ... also returns the... |
github | ahbarnett/BIE2D-master | perispecinterp.m | .m | BIE2D-master/utils/perispecinterp.m | 1,513 | utf_8 | 4f622e66b6282893f99b19f5f16d496b | function g = perispecinterp(f,N)
% PERISPECINTERP resample periodically sampled function onto different grid.
%
% g = perispecinterp(f,N)
% inputs: f - (row or column) vector length n (must be even) of input samples,
% N - desired output number of samples, must be even
% outputs: g - vector length N of inter... |
github | ahbarnett/BIE2D-master | checkgrad.m | .m | BIE2D-master/utils/checkgrad.m | 1,183 | utf_8 | e763f08a0af22244943afdae7211a32a | function err=checkgrad(f,df,x0)
% CHECKGRAD verify a function in R^2 has correct analytic gradient function
%
% err = checkgrad(f,df) returns error between finite-differencing approx to
% grad f and the function df. f is a function handle taking a stack of m 2-cpt
% col vecs and returning a row vec of m values. df ... |
github | ahbarnett/BIE2D-master | reparam_bunched.m | .m | BIE2D-master/utils/reparam_bunched.m | 1,412 | utf_8 | e7ff2d7e6e384306d05b7a1cafdbd40a | function s = reparam_bunched(s,be)
% REPARAM_BUNCHED Reparameterize a segment slowing down at 0,pi/2,pi,3pi/2.
%
% s = reparam_bunched(s,be) takes a segment struct s and returns another,
% where be is the beta parameter giving the angular range devoted to the
% central. The bunching factor is of order exp(be), or bu... |
github | ahbarnett/BIE2D-master | setupquad.m | .m | BIE2D-master/utils/setupquad.m | 4,352 | utf_8 | f41db67968697da323a892d78f159f89 | function s = setupquad(s, N)
% SETUPQUAD Set up periodic trapezoid quadrature & geom for smooth closed curve
%
% s = setupquad(s,N) where s is a struct containing a parametrization of the
% curve in the form of function s.Z from [0,2pi) to the complex plane, uses
% this to build the set of nodes, weights, speeds, cu... |
github | ahbarnett/BIE2D-master | wobblycurve.m | .m | BIE2D-master/utils/wobblycurve.m | 1,219 | utf_8 | 9636b63522aa649e68341b33b3083300 | function s = wobblycurve(r0,a,w,N)
% WOBBLYCURVE Set up a wobbly smooth closed curve ("starfish")
%
% s = wobblycurve(r0,a,w) where r0 is the mean radius (eg 1), a is amplitude of
% wobble (eg 0.3) and w is the frequency (eg 5), returns a segment struct of
% the form as in setupquad, but with s.inside being a handl... |
github | ahbarnett/BIE2D-master | squashedcircle.m | .m | BIE2D-master/utils/squashedcircle.m | 995 | utf_8 | bffa0930c6613a9fc4a0aed2837dffaf | function s = squashedcircle(R,al,b,N)
% SQUASHEDCIRCLE Set up a rotated squashed circle smooth closed curve.
%
% s = squashedcircle(R,al,b,N) returns a segment structure s.
% Inputs:
% R = max radius
% al = rotation angle
% b in (0,1] is squashing param (0 -> touching)
% N is # bdry nodes
%
% Barnett 11/14/17
if nargi... |
github | ahbarnett/BIE2D-master | perispecdiff.m | .m | BIE2D-master/utils/perispecdiff.m | 853 | utf_8 | 083247f836d7df429d48963ea3567cdb | function g = perispecdiff(f)
% PERISPECDIFF - use FFT to take periodic spectral differentiation of vector
%
% g = perispecdiff(f) returns g the derivative of the spectral interpolant
% of f, which is assumed to be the values of a smooth 2pi-periodic function
% at the N gridpoints 2.pi.j/N, for j=1,..,N (or any transl... |
github | ahbarnett/BIE2D-master | HelmDLP.m | .m | BIE2D-master/kernels/HelmDLP.m | 3,843 | utf_8 | 7401946aa56f85b71e66f25319ec1ada | function [u un] = HelmDLP(k,t,s,dens)
% HELMDLP Evaluate Helmholtz double-layer potential from curve to targets
%
% This evaluates the 2D Helmholtz double-layer potential for the density tau,
%
% u(x) = (i/4) int_gamma (d/dn_y) H^{(1)}_0(kr) tau(y) ds_y, where r:=x-y
% ... |
github | ahbarnett/BIE2D-master | StoDLP_closeglobal.m | .m | BIE2D-master/kernels/StoDLP_closeglobal.m | 5,987 | utf_8 | f3e6f06539c4ac195862d0e1d38f6a75 | function [u p] = StoDLP_closeglobal(t, s, mu, sigma, side)
% STODLP_CLOSEGLOBAL - close-eval velocity Stokes DLP w/ global quadr curve
%
% u = StoDLP_closeglobal(t,s,mu,dens,side) returns velocities at targets t.x
% due to double-layer potential with real-valued density dens sampled on the
% nodes s.x of a smoot... |
github | ahbarnett/BIE2D-master | StoSLP.m | .m | BIE2D-master/kernels/StoSLP.m | 5,641 | utf_8 | 8eab5b9b27465982d3529e34df7b4955 | function [u,p,T] = StoSLP(t,s,mu,dens)
% STOSLP Evaluate 2D Stokes single-layer velocity, pressure, and traction.
%
% [A,P,T] = StoSLP(t,s,mu) returns dense matrices taking single-layer
% density values on the nodes of a source curve to velocity, pressure, and
% traction on the nodes of a target curve. Native quadr... |
github | ahbarnett/BIE2D-master | StoSLP_closeglobal.m | .m | BIE2D-master/kernels/StoSLP_closeglobal.m | 6,737 | utf_8 | 2fcea19060ee585097455febcf7612ce | function [u p T] = StoSLP_closeglobal(t, s, mu, sigma, side)
% STOSLP_CLOSEGLOBAL - close-eval velocity Stokes SLP w/ global quadr curve
%
% u = StoSLP_closeglobal(t,s,mu,dens,side) returns velocities at targets t.x
% due to single-layer potential with real-valued density dens sampled on the
% nodes s.x of a smo... |
github | ahbarnett/BIE2D-master | HelmSLP.m | .m | BIE2D-master/kernels/HelmSLP.m | 3,405 | utf_8 | 0ed8a84db3be1454bc84e6644bbcab07 | function [u un] = HelmSLP(k,t,s,dens)
% HELMSLP Evaluate Helmholtz single-layer potential from curve to targets
%
% This evaluates the 2D Helmholtz single-layer potential for the density tau,
%
% u(x) = (i/4) int_gamma H^{(1)}_0(kr) tau(y) ds_y, where r:=x-y, x,y in R2,
%
% using the native quadrature rule on th... |
github | ahbarnett/BIE2D-master | cauchycompeval_lsc2d.m | .m | BIE2D-master/kernels/cauchycompeval_lsc2d.m | 8,475 | utf_8 | 98e750bdc05893f3703cda4b0c4b448c | function [vc, vcp] = cauchycompeval_lsc2d(x,s,vb,side,o)
% cauchycompeval_lsc2d. Legacy variant of cauchycompeval, from [lsc2d] paper.
%
% See cauchcompeval
%
% The only new input needed is s.a, an interior point far from the boundary.
%
% The algorithm is that of Ioakimidis et al BIT 1991 for interior, and,
% for th... |
github | ahbarnett/BIE2D-master | LapSLP_closeglobal.m | .m | BIE2D-master/kernels/LapSLP_closeglobal.m | 9,518 | utf_8 | b2aac2bc3e65c66e4fd38eee7034aba5 | function [u ux uy uxx uxy uyy info] = LapSLP_closeglobal(t, s, tau, side)
% LAPSLP_CLOSEGLOBAL - Laplace SLP potential & deriv w/ global close-eval quad
%
% u = LapSLP_closeglobal(t,s,dens,side) returns potentials at targets t.x
% due to single-layer potential with real-valued density dens sampled on the
% nodes s.x ... |
github | ahbarnett/BIE2D-master | LapDLP.m | .m | BIE2D-master/kernels/LapDLP.m | 2,946 | utf_8 | bff233d221e8ec23e4c872ffff158bfc | function [u un] = LapDLP(t,s,dens)
% LAPDLP Evaluate Laplace double-layer potential from curve to targets
%
% This evaluates the 2D Laplace double-layer potential for the density tau,
%
% u(x) = (1/2pi) int_gamma (n_y.(x-y))/r^2 tau(y) ds_y,
% where r:=x-y, x,y in... |
github | ahbarnett/BIE2D-master | LapSLP.m | .m | BIE2D-master/kernels/LapSLP.m | 3,591 | utf_8 | f419fc257febeecdfa0163f7a58bfdaa | function [u un uxx uxy uyy] = LapSLP(t,s,dens)
% LAPSLP Evaluate Laplace single-layer potential from curve to targets
%
% This evaluates the 2D Laplace single-layer potential for the density tau,
%
% u(x) = (1/2pi) int_gamma log(1/r) tau(y) ds_y, where r:=x-y, x,y in R2,
%
% using the native quadrature rule on ... |
github | ahbarnett/BIE2D-master | LapDLP_closeglobal.m | .m | BIE2D-master/kernels/LapDLP_closeglobal.m | 6,332 | utf_8 | b2af68616db5514ac98202a790f79aeb | function [u ux uy info] = LapDLP_closeglobal(t, s, tau, side)
% LAPDLP_CLOSEGLOBAL - Laplace DLP potential & deriv w/ global close-eval quad
%
% u = LapDLP_closeglobal(t,s,dens,side) returns potentials at targets t.x
% due to double-layer potential with real-valued density dens sampled on the
% nodes s.x of a smooth ... |
github | ahbarnett/BIE2D-master | srcsum2.m | .m | BIE2D-master/kernels/srcsum2.m | 3,784 | utf_8 | 813262bbeb3de8223b1dd07456429793 | function [A B C] = srcsum2(kernel, trlist, phlist, t, s, varargin)
% SRCSUM2 Sum a kernel eval or matrix over source translations via single call
%
% This is a variant of srcsum that sums over targets in a single kernel call,
% instead of summing over sources with multiple calls. This is useful for
% periodized clo... |
github | ahbarnett/BIE2D-master | Cau_closeglobal.m | .m | BIE2D-master/kernels/Cau_closeglobal.m | 11,616 | utf_8 | f68ffb0942cfffbc3c41487061e1b583 | function [vc vcp vcpp] = Cau_closeglobal(x,s,vb,side,o)
% CAU_CLOSEGLOBAL. Globally compensated barycentric int/ext Cauchy integral
%
% This is a spectrally-accurate close-evaluation scheme for Cauchy integrals.
% It returns approximate values (and possibly first derivatives) of a function
% either holomorphic insid... |
github | ahbarnett/BIE2D-master | srcsum.m | .m | BIE2D-master/kernels/srcsum.m | 3,271 | utf_8 | 02e5ed4b7254f5901fc6b48d2c328a98 | function [A B C] = srcsum(kernel, trlist, phlist, t, s, varargin)
% SRCSUM Sum any kernel evaluation or matrix over a set of source translations
%
% Note, unlike srcsum2 this handles self-interactions correctly
%
% [A B ...] = srcsum(kernel, trlist, phlist, t, s)
% [A B ...] = srcsum(kernel, trlist, phlist, t, s, par... |
github | ahbarnett/BIE2D-master | StoDLP.m | .m | BIE2D-master/kernels/StoDLP.m | 5,569 | utf_8 | 3487f6f99597143dfe4f2f5d3dfa8a8f | function [u,p,T] = StoDLP(t,s,mu,dens)
% STODLP Evaluate 2D Stokes single-layer velocity, pressure, and traction.
%
% [A,P,T] = StoDLP(t,s,mu) returns dense matrices taking double-layer
% density values on the nodes of a source curve to velocity, pressure, and
% traction on the nodes of a target curve. Native quadr... |
github | ahbarnett/BIE2D-master | panel_preimage.m | .m | BIE2D-master/panels/panel_preimage.m | 1,549 | utf_8 | cd6b4cc97f10cc1a58b51ad1b3ea105d | function [t0 c cp] = panel_preimage(z,t,z0)
% PANEL_PREIMAGE solve for preimage of complex point under panel map.
%
% t0 = panel_preimage(z,t,z0) returns t0 preimage such that z0 = Z(t0) where
% Z : C -> C is the analytic map that took the set of standard nodes t to
% the set of nodes z.
%
% [t0 c cp] = panel_preim... |
github | ahbarnett/BIE2D-master | LapDLP_closepanel.m | .m | BIE2D-master/panels/LapDLP_closepanel.m | 6,516 | utf_8 | 6e103d40f26d1a6c7b6ae4c6248d4456 | function [varargout] = LapDLP_closepanel(t,s,a,b,side, meth)
% LAPDLP_CLOSEPANEL - real DLP close-eval matrix (Helsing or sing-swap)
%
% [A] = LapDLP_closepanel(t,s,a,b)
% returns numel(t.x)-by-numel(s.x) matrix which maps DLP values at the nodes
% s.x to potential at the targets t.x, both given as lists of
% points... |
github | ahbarnett/BIE2D-master | perivelpipe_subdrop.m | .m | BIE2D-master/singlyperiodic/perivelpipe_subdrop.m | 8,898 | utf_8 | 1ce12c102969290596fd5da8efde419c | function perivelpipe_subdrop(expt)
% singly-periodic in 2D velocity-BC Stokes BVP, ie "pipe" geom w/ press drop
% Rewrite of 2014 codes using BIE2D, as in DPLS codes. Dense E fill for now,
% DLP only on U,D (since wrapping S quad would be harder). 12/17/17
% Trying subtraction of inhom PCs via a known soln v 1/3/18
... |
github | ahbarnett/BIE2D-master | perivelpipe.m | .m | BIE2D-master/singlyperiodic/perivelpipe.m | 8,458 | utf_8 | 281814a2ec3475f7bb33c615108f229d | function perivelpipe(expt)
% singly-periodic in 2D velocity-BC Stokes BVP, ie "pipe" geom w/ press drop
% Rewrite of 2014 codes using BIE2D, as in DPLS codes. Dense E fill for now,
% DLP only on U,D (since wrapping S quad would be harder). 12/17/17
disp('2D 1-periodic pressure-driven pipe flow w/ vel BCs on walls')
%... |
github | ahbarnett/BIE2D-master | testStokernels.m | .m | BIE2D-master/test/testStokernels.m | 5,133 | utf_8 | bcde9edae25a2ce341ecc155327ee854 | function testStokernels
% TESTSTOKERNELS plot and test properties of Stokes kernels.
%
% Plot and test 2D Stokes kernels, both velocity and pressure bits,
% check satisfies Stokes PDE, traction is correct, and
% net outflow and force on wall integrated over enclosing circle,
% Barnett 6/27/16 cleaned up from testker... |
github | MinyaRancic/Robotiq-Gripper-master | installRobotiqGripperToolbox.m | .m | Robotiq-Gripper-master/installRobotiqGripperToolbox.m | 7,483 | utf_8 | c417fd30ae9964dbc15c5324553839a2 | function installRobotiqGripperToolbox(replaceExisting)
% INSTALLOPTITRACKTOOLBOX installs Robotiq Gripper Toolbox for MATLAB.
% INSTALLOPTITRACKTOOLBOX installs Robotiq Gripper Toolbox into the following
% locations:
% Source: Destination
% Robotiq GripperToolboxFunctions: matlabroot\too... |
github | RInstitute/MATLAB_FUER_DUMMIES-master | SagHallo6.m | .m | MATLAB_FUER_DUMMIES-master/Kapitel09/SagHallo6.m | 217 | utf_8 | 9fe6483e89f83c7553f4fee3fb4f7659 | function [ HalloText ] = SagHallo6( Name )
%SagHallo()
% Diese Funktion sagt jedem Hallo!
HalloText = [GetGruss(), Name, '!'];
disp(HalloText);
end
function [ Gruss ] = GetGruss ()
Gruss = 'Hallo da draussen ';
end |
github | YANG-H/MATLABTools-master | compute_box_from_room.m | .m | MATLABTools-master/OrientationMaps/genroom/compute_box_from_room.m | 7,141 | utf_8 | 7c5668d58d9c6c8f3e69b7c9e159f5a0 | function roomhyp = compute_box_from_room(roomhyp, vp, imgwidth, imgheight)
% box(1): left wall
% box(2): middle wall
% box(3): right wall
% box(4): ceiling
% box(5): floor
% image boundary polygon
imgpoly = [1 1; 1 imgheight; imgwidth imgheight; imgwidth 1; 1 1];
for i = 1:length(roomhyp)
rh = roomhyp(i);
if... |
github | YANG-H/MATLABTools-master | omap_depthorder.m | .m | MATLABTools-master/OrientationMaps/genobjhyp/omap_depthorder.m | 4,928 | utf_8 | 52c0f6680ae89b1953eef5d9908d414f | function [depthorder reglabel regori rpo] = omap_depthorder(omap, vp, OMAP_FACTOR)
% function [reglabel regori rpo] = omap_depthorder(omap, vp, OMAP_FACTOR)
% % % % % % % depthorder{:,1} : smaller means closer to camera
% % % % % % % depthorder{:,2} : smaller means away from camera
% % % % % % % rpo(j,k) = 1 if region ... |
github | YANG-H/MATLABTools-master | cuboid_pts2prm_incomp.m | .m | MATLABTools-master/OrientationMaps/genobjhyp/cuboid_pts2prm_incomp.m | 1,249 | utf_8 | fe99994064a967e44964135ffe960b47 | function prm = cuboid_pts2prm_incomp(cuboidhyp, vp)
% given incomplete number of points defining a cuboid
% converts to five parameters of cuboid
% (performs nonlinear optimization)
%
% prm: [x, y, w, h, d]
% x,y: 2D coordinates of corner1 (top,left,front corner)
% w: length (in pixels) from corner1 to corner2
% h: len... |
github | YANG-H/MATLABTools-master | omapobj2cuboidhyp.m | .m | MATLABTools-master/OrientationMaps/genobjhyp/omapobj2cuboidhyp.m | 6,610 | utf_8 | 59808cb42f5729f31cadfb6d7e3dba86 | function cuboidhyp = omapobj2cuboidhyp(rpo, reglabel, regori, vp, OMAP_FACTOR)
vps{1} = OMAP_FACTOR * vp{1};
vps{2} = OMAP_FACTOR * vp{2};
vps{3} = OMAP_FACTOR * vp{3};
regoriobj = regori;
statsobj = regionprops(reglabel,'PixelIdxList','PixelList');
%%
rm = regionmask(vps, size(reglabel));
sr = segregion(rm, statsob... |
github | YANG-H/MATLABTools-master | cuboid_pts2prm.m | .m | MATLABTools-master/OrientationMaps/genobjhyp/cuboid_pts2prm.m | 804 | utf_8 | 223aca96f9066248a279d8c14e2cda83 | function prm = cuboid_pts2prm(pts, vp)
% converts eight 2D points to five parameters of cuboid
% (performs nonlinear optimization)
%
% prm: [x, y, w, h, d]
% x,y: 2D coordinates of corner1 (top,left,front corner)
% w: length (in pixels) from corner1 to corner2
% h: length (in pixels) from corner1 to corner3
% d: length... |
github | YANG-H/MATLABTools-master | getextremepoints.m | .m | MATLABTools-master/OrientationMaps/genobjhyp/getextremepoints.m | 2,061 | utf_8 | 9b339d101530b09862f7296b9da2834d | function [pleft pright pbot2 ptop2 pbot3 ptop3 pleft3 pright3] = ...
getextremepoints(region, vp)
% region: [n x 2] [x y] position of n points
%% get extreme points in image
[point1 point2] = tangentpoint(region, vp{1});
if point1(1) > point2(1)
pright = point1; pleft = point2;
else
pright = point2; pleft ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.