http://www.cnr.it/ontology/cnr/individuo/prodotto/ID153902
Splitting and composition methods for explicit time dependence in separable dynamical systems (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali)
- Type
- Label
- Splitting and composition methods for explicit time dependence in separable dynamical systems (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
S. Blanes, F. Diele, C. Marangi, S. Ragni (2009)
Splitting and composition methods for explicit time dependence in separable dynamical systems
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- S. Blanes, F. Diele, C. Marangi, S. Ragni (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Una versione riveduta del lavoro è apparsa nel 2011 sulla rivista Mathematics and Computer in Simulation Vol. 81 (5), pp.1057-1067 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- IAC report N.177 (8/2009) (literal)
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- IAC report N.177 (8/2009) (literal)
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- Memorie interne (literal)
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- Sergio Blanes , Instituto de Matematica Multidisciplinar, Universidad Politecnica de Valencia, E-46022 Valencia, Spain
Stefania Ragni, Facoltà di Economia, Università di Bari, Via Camillo Rosalba 56, 70100 Bari, Italy (literal)
- Titolo
- Splitting and composition methods for explicit time dependence in separable dynamical systems (literal)
- Abstract
- We consider splitting methods for the numerical integration of non-autonomous sep-
arable differential equations. Splitting methods have been extensively used as geometric numerical
integrators during the last years showing excellent performances (both qualitatively and quantita-
tively) when applied on many problems. They are designed for autonomous separable systems and
a substantial number of methods tailored for different structures of the equations have recently ap-
peared. When these methods are used on non-autonomous problems, usually their performance
diminishes considerably, and even they can lose the order of accuracy. Previous attempts to preserve
such performance on non-autonomous problems required to modify, in a non-trivial way, the existing
methods. In this paper, we present a simple alternative which, in many relevant cases, allows to
retain the high performance of the splitting methods using the same schemes as for the autonomous
problems. This technique is applied on different problems and its performance is illustrated on several
numerical examples. (literal)
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