getLogFunc.m

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%%%%    ParaMonte: Parallel Monte Carlo and Machine Learning Library.                                                           %%%%
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%%%%    Copyright (C) 2012-present, The Computational Data Science Lab                                                          %%%%
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%%%%    This file is part of the ParaMonte library.                                                                             %%%%
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%%%%    LICENSE                                                                                                                 %%%%
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%%%%       https://github.com/cdslaborg/paramonte/blob/main/LICENSE.md                                                          %%%%
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function logFunc = getLogFunc(point)
 
% This function returns the probability density function of the standard multivariate normal distribution of ndim dimensions.
    
    % Standard MultiVariate Normal (SMVN) specifications: https://en.wikipedia.org/wiki/Multivariate_normal_distribution
 
%----------------------------------------------------------------------   
 
%   LOG_SMVN_COEF   = length(Point) * log( 1/sqrt(2*pi) );  
%   logFunc = LOG_SMVN_COEF - 0.5 * sum(Point.^2);
 
%----------------------------------------------------------------------
 
    logFunc = -0.5 * sum(point.^2);
 
%----------------------------------------------------------------------
 
    % Rosenbrock test function
%    logFunc = -( 100.0 * (point(2)-point(1)^2)^2 + (point(1)-1.0)^2 )/20;
%----------------------------------------------------------------------   
 
end
 
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%%%%%%%%%%%%%%%%%  PYTHON-getLogFunc  %%%%%%%%%%%%%%%%%%%%%%
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%%%%  def getLogFunc(Point):                            %%%%
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%%%%      return -0.5 * np.sum( np.double( Point )**2 ) %%%%
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