% BAYESOPT Optimization (minimization) of target function using bayesian
% optimization.
%
% Usage: [xmin, fmin] = bayesopt(@function_handler, nDimensions, params)
% [xmin, fmin] = bayesopt(@function_handler, nDimensions, params,
% lowerBound, upperBound)
%
% [xmin, fmin] = bayesopt('function_name', nDimensions, params)
% [xmin, fmin] = bayesopt('function_name', nDimensions, params,
% lowerBound, upperBound)
%
% [xmin, fmin] = bayesoptdisc(@function_handler, validset, params)
% [xmin, fmin] = bayesoptdisc('function_name', validset, params)
%
%
% nDimensions is the number of dimensions (d) of the query vector.
%
% Params is a struct which have the same fields as the C/C++ interface
% (see include/parameters.h)
%
% lowerBound and upperBound should be a d x 1 or 1 x d vectors with
% the lower and upper bound for each component. (optional, default 0-1)
%
% validset is the set of discrete points for discrete optimization,
% stacked in a single matrix. Thus, it must be a d x n matrix.
%
%
% -------------------------------------------------------------------------
% This file is part of BayesOpt, an efficient C++ library for
% Bayesian optimization.
%
% Copyright (C) 2011-2013 Ruben Martinez-Cantin
%
% BayesOpt 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.
%
% BayesOpt 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 BayesOpt. If not, see .
% ------------------------------------------------------------------------
%