PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS

PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS

Relevancy of the problem of simplification of mathematical models for different classes of objects and phenomena, particularly in the context of dynamic problems while designing computer control systems, is substantiated. Approaches to solving the problem of mathematical models reduction using the c...

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Bibliographic Details
Date:2015
Main Authors: Sterten, Jo, Ogorodnyk, Olga, Verlan, Andrey Anatolievich
Format: Article
Language:English
Published: Kamianets-Podilskyi National Ivan Ohiienko University 2015
Subjects:
mathematical model
reduction
precision
complexity
estimates
concordance coefficient.
Online Access:http://mcm-tech.kpnu.edu.ua/article/view/52378
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Journal Title:Mathematical and computer modelling. Series: Technical sciences

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Mathematical and computer modelling. Series: Technical sciences
id mcmtechkpnueduua-article-52378
record_format ojs
spelling mcmtechkpnueduua-article-523782019-03-06T10:46:36Z PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS Sterten, Jo Ogorodnyk, Olga Verlan, Andrey Anatolievich mathematical model reduction precision complexity estimates concordance coefficient. mathematical model reduction precision complexity estimates concordance coefficient. Relevancy of the problem of simplification of mathematical models for different classes of objects and phenomena, particularly in the context of dynamic problems while designing computer control systems, is substantiated. Approaches to solving the problem of mathematical models reduction using the concept of coefficient of concordance between characteristics of models and source data accuracy are proposed Relevancy of the problem of simplification of mathematical models for different classes of objects and phenomena, particularly in the context of dynamic problems while designing computer control systems, is substantiated. Approaches to solving the problem of mathematical models reduction using the concept of coefficient of concordance between characteristics of models and source data accuracy are proposed Kamianets-Podilskyi National Ivan Ohiienko University 2015-04-24 Article Article application/pdf http://mcm-tech.kpnu.edu.ua/article/view/52378 10.32626/2308-5916.2015-12.15-23 Mathematical and computer modelling. Series: Technical sciences; 2015: Mathematical and computer modelling. Series: Technical sciences. Issue 12; 15-23 Математичне та комп'ютерне моделювання. Серія: Технічні науки ; 2015: Математичне та комп'ютерне моделювання. Серія: Технічні науки. Випуск 12; 15-23 2308-5916 10.32626/2308-5916.2015-12 en http://mcm-tech.kpnu.edu.ua/article/view/52378/48323 Авторське право (c) 2021 Математичне та комп'ютерне моделювання. Серія: Технічні науки
institution Mathematical and computer modelling. Series: Technical sciences
baseUrl_str
datestamp_date 2019-03-06T10:46:36Z
collection OJS
language English
topic mathematical model
reduction
precision
complexity
estimates
concordance coefficient.
spellingShingle mathematical model
reduction
precision
complexity
estimates
concordance coefficient.
Sterten, Jo
Ogorodnyk, Olga
Verlan, Andrey Anatolievich
PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
topic_facet mathematical model
reduction
precision
complexity
estimates
concordance coefficient.
mathematical model
reduction
precision
complexity
estimates
concordance coefficient.
format Article
author Sterten, Jo
Ogorodnyk, Olga
Verlan, Andrey Anatolievich
author_facet Sterten, Jo
Ogorodnyk, Olga
Verlan, Andrey Anatolievich
author_sort Sterten, Jo
title PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
title_short PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
title_full PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
title_fullStr PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
title_full_unstemmed PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
title_sort principles of precision parametric reduction for mathematical models
title_alt PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
description Relevancy of the problem of simplification of mathematical models for different classes of objects and phenomena, particularly in the context of dynamic problems while designing computer control systems, is substantiated. Approaches to solving the problem of mathematical models reduction using the concept of coefficient of concordance between characteristics of models and source data accuracy are proposed
publisher Kamianets-Podilskyi National Ivan Ohiienko University
publishDate 2015
url http://mcm-tech.kpnu.edu.ua/article/view/52378
work_keys_str_mv AT stertenjo principlesofprecisionparametricreductionformathematicalmodels
AT ogorodnykolga principlesofprecisionparametricreductionformathematicalmodels
AT verlanandreyanatolievich principlesofprecisionparametricreductionformathematicalmodels
first_indexed 2025-07-17T10:12:50Z
last_indexed 2025-07-17T10:12:50Z
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