PRINCIPLES OF PRECISION PARAMETRIC REDUCTION FOR MATHEMATICAL MODELS
DOI:
https://doi.org/10.32626/2308-5916.2015-12.15-23Ключові слова:
mathematical model, reduction, precision, complexity, estimates, concordance coefficient.Анотація
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
Посилання
Prochazka A. Signal Analysis and Prediction / A. Prochazka, N. Kingsbury, P.J.W. Payner, J. Uhlir. — Boston : SpringerScience + Business Media New York, 1998.
Ivahnenko A. G. Inductive method of self-organizing models of complex sys-tems / A. G. Ivahnenko. — K. : Naukova Dumka, 1982.
BahvalovN. S. Modern Problems of Computational Mathematic sand Mathe-matical Modeling / N. S. Bahvalov, V. V. Voevodin. — M. : Nauka, 2005.
Shevchuk B. M. Technology of multifunction processing and transfer of in-formation in the monitoring networks / B. M. Shevchuk, V. K. Zadiraka, L. O. Gnativ, S. V. Fraer. — Kyiv : Naukova Dumka, 2010.
TihonovA. N. Mathematical methods of automating the processing of observa-tions / A. N. Tihonov // Problems of Computational Mathematics. Moscow University Press. — 1980. — P. 3–17.
Cobzas S. Functional Analysis in Asymmetric Normed Spaces / S. Cobzas. — Basel : Springer Basel, 2013.
##submission.downloads##
Опубліковано
Номер
Розділ
Ліцензія
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).