# ITE / code / IPA / optimization / cost_general.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``` ```function [cost] = cost_general(Y,ds,cost_type,co) %Estimates general ISA cost (cost) of the estimation Y, given subspace %dimensions (ds), cost type (cost_type) and cost object (co). %Note: cost_type = 'Ipairwise1d' is handled separately (enabling more %efficient optimization). % %INPUT: % Y: Y(:,t) is the t^th sample. % %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 {'sumH','sum-I'} cost = cost_additive_wrt_subspaces(Y,ds,cost_type,co); case 'Ipairwise' cost = cost_pairadditive_wrt_subspaces(Y,ds,co); case 'I' cost = I_estimation(Y,ds,co); case 'Irecursive' cost = cost_Irecursive(Y,ds,co); otherwise error('cost type=?'); end ```
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