The Integration of Stiff Systems of ODEs Using NDFs and MEBDFs

Autor:	Elisabete Alberdi Celaya, Juan Jose Anza
Rok vydání:	2013
Předmět:	Computational Mathematics Mathematical optimization Order (business) Stability (learning theory) Ode Mathematics
Zdroj:	Journal of Computational Mathematics. 31:175-189
ISSN:	1991-7139 0254-9409
DOI:	10.4208/jcm.1212-m3987
Popis:	In this paper we modify the MEBDF method using the NDFs as predictors instead of the BDFs. We have done it in three different ways: changing both predictors of the MEBDF, changing only the first predictor and changing only the second one. We have called the new methods MENDF, MENBDF and MEBNDF respectively. The new methods are A-stable up to order 4 and the stability properties of the new methods are better than the MEBDF method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fcd8974411c30b6536e4f3836c92ca20 https://doi.org/10.4208/jcm.1212-m3987 Zobrazit plný text záznamu Plný text ve formátu PDF