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On the program implementation of a simple Markov homogeneous random search algorithm of an extremum
Author(s) -
А. С. Тихомиров
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1658/1/012058
Subject(s) - homogeneous , simple (philosophy) , markov chain , algorithm , computer science , class (philosophy) , markov model , markov process , mathematical optimization , mathematics , function (biology) , artificial intelligence , statistics , machine learning , combinatorics , philosophy , epistemology , evolutionary biology , biology
A program that implements a simple Markov homogeneous random search algorithm of an extremumis is presented. This program allows solving a fairly wide class of problems of finding the global extremum of an objective function with a high accuracy.

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