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main.m
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main.m
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%
%%%% Description:
%%%% + Run the serial Monte Carlo sampler of the ParaMonte library given the input log-target density function `getLogFunc()`.
%%%% Output:
%%%% + The simulation output files.
%%%% Author:
%%%% + Computational Data Science Lab, Monday 9:03 AM, May 16 2016, ICES, UT Austin
%%%% Visit:
%%%% + https://www.cdslab.org/paramonte
%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% clear MATLAB space
clc;
clear all;
close all;
clear classes;
format compact; format long;
% set path to the ParaMonte library
%%%%%%%%%%%%% IMPORTANT %%%%%%%%%%%%%
pmlibRootDir = './'; % change this path to the ParaMonte library root directory
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
addpath(genpath(pmlibRootDir));
% change MATLAB's working directory to the folder containing this script
filePath = mfilename('fullpath');
[currentDir,fileName,fileExt] = fileparts(filePath); cd(currentDir);
cd(fileparts(mfilename('fullpath'))); % Change working directory to source code directory.
% instantiate an object of class logfunc containing:
% - the objective function (getLogFunc)
% - its number of dimensions (NDIM)
logFunc = logfunc();
% create a ParaMonte object:
pm = paramonte();
% create a ParaDRAM simulation object
pmpd = pm.ParaDRAM();
% NOTE: For a complete list of simulation specifications, see:
% NOTE:
% NOTE: https://www.cdslab.org/paramonte/notes/usage/paradram/specifications/
pmpd.spec.chainSize = 30000; % the number of uniquely-sampled points
pmpd.spec.outputFileName = "./out/"; % only the output folder specified here in the above, implying that
% the filenames are to be generated automatically by the sampler.
% run the ParaDRAM simulation
pmpd.runSampler ( logFunc.NDIM ... number of dimensions of the objective function
, @logFunc.get ... the objective function: multivariate normal distribution
);