# ITE / code / IPA / data_generation / datasets / sample_subspaces_multiD_geom_star.m

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30``` ```function [e] = sample_subspaces_multiD_geom_star(d,num_of_samples) %Sampling from a random variable distributed uniformly on a d-dimensional star (=diagonals of a square). % %INPUT: % num_of_samples: number of samples to be generated. %OUTPUT: % e: e(:,t) is the t^th sample. size(e,2) = num_of_samples. %EXAMPLE: % e = sample_subspaces_multiD_geom_star(4,1000); % %Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu") % %This file is part of the ITE (Information Theoretical Estimators) Matlab/Octave toolbox. % %ITE 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 3 of the License, or (at your option) any later version. % %This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of %MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. % %You should have received a copy of the GNU General Public License along with ITE. If not, see . %random square vertex: p = (rand(d,num_of_samples)>0.5);%0/1 vector of length d %opposite vertex on the square: p2 = 1 - p; %random point of the edge: e = p + repmat(rand(1,num_of_samples),d,1).* (p2-p); ```