Creation of an algorithm and software complex for solving parabolic type boundary value problems by statistical modeling method

dc.contributor.authorTojiyev Takhirjon Khalilovich
dc.contributor.authorErkinov Khusniddin Ikromjon ogli
dc.date.accessioned2026-01-02T11:47:15Z
dc.date.issued2022-11-30
dc.description.abstractThe constant and unrelenting interest in the application of statistical modeling (Monte Carlo methods) both for research purposes and for solving practical problems is due to many factors. First of all, Monte Carlo methods are used for computational experiments to determine the properties of such phenomena for which the probabilistic model is, on the one hand, the most adequate and, at the same time, quite effectively implemented
dc.formatapplication/pdf
dc.identifier.urihttps://geniusjournals.org/index.php/ejpcm/article/view/2715
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/78023
dc.language.isoeng
dc.publisherGenius Journals
dc.relationhttps://geniusjournals.org/index.php/ejpcm/article/view/2715/2326
dc.sourceEurasian Journal of Physics,Chemistry and Mathematics; Vol. 12 (2022): EJPCM; 127-130
dc.source2795-7667
dc.subjectMonte Carlo method, Schwartz, Brownian movement, random point
dc.titleCreation of an algorithm and software complex for solving parabolic type boundary value problems by statistical modeling method
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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