# ITE / code / IPA / optimization / set_mult.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 31 32 33 34 35 36 37 38 39 40 41 42 43``` ```function [mult] = set_mult(cost_type,ds) %Sets whether a multiplicative factor is important/needed in the cost %estimation (entropy/mutual information) based on the applied cost type %(cost_type) and subspace dimensions (ds). % %OUTPUT: % mult: '=1': important, '=0': not. % %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 . switch cost_type case {'I','Ipairwise1d'} mult = 0; case {'sumH','sum-I','Ipairwise'} if equal_subspace_dimension(ds) mult = 0; else mult = 1; end case 'Irecursive' mult = 1; otherwise error('cost type=?'); end %----------------------------- function [b] = equal_subspace_dimension(ds) %Returns whether the subspace dimensions (ds) are equal or not. % %OUTPUT: % b: '=1'(true) equal, '=0'(false) not. b = (sum(ds==ds(1)) == length(ds)); ```
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