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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| Дата: | 2015 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Kamianets-Podilskyi National Ivan Ohiienko University
2015
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| Онлайн доступ: | http://mcm-tech.kpnu.edu.ua/article/view/52378 |
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| Назва журналу: | Mathematical and computer modelling. Series: Technical sciences |
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Mathematical and computer modelling. Series: Technical sciences| id |
mcmtechkpnueduua-article-52378 |
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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 |
| _version_ |
1850409837552205824 |