ITE / code / H_I_D / base_estimators / HRenyi_spacing_E_initialization.m

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function [co] = HRenyi_spacing_E_initialization(mult)
%Initialization of the Renyi entropy (H) estimator based on the extension of the 'empiric entropy estimation of order m' method.
%   1)The estimator is treated as a cost object (co).
%   2)We make use of the naming convention 'H<name>_initialization', to ease embedding new entropy estimation methods.
%   mult: is a multiplicative constant relevant (needed) in the estimation; '=1' means yes, '=0' no.
%   co: cost object (structure).
%Copyright (C) 2012 Zoltan Szabo ("", "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 <>.

%mandatory fields: = 'Renyi_spacing_E';
    co.mult = mult;   

%other fields:
    co.alpha = 0.99; %The Renyi entropy (H_{R,alpha}) equals to the Shannon differential entropy (H) in limit: H_{R,alpha} -> H, as alpha -> 1.