- -

Splitting and composition methods with embedded error estimators

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Splitting and composition methods with embedded error estimators

Show full item record

Blanes Zamora, S.; Casas, F.; Thalhammer, M. (2019). Splitting and composition methods with embedded error estimators. Applied Numerical Mathematics. 146:400-415. https://doi.org/10.1016/j.apnum.2019.07.022

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/139243

Files in this item

Item Metadata

Title: Splitting and composition methods with embedded error estimators
Author: Blanes Zamora, Sergio Casas, Fernando Thalhammer, Mechthild
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] We propose new local error estimators for splitting and composition methods. They are based on the construction of lower order schemes obtained at each step as a linear combination of the intermediate stages of the ...[+]
Subjects: Splitting methods , Composition methods , Error estimators
Copyrigths: Reserva de todos los derechos
Source:
Applied Numerical Mathematics. (issn: 0168-9274 )
DOI: 10.1016/j.apnum.2019.07.022
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.apnum.2019.07.022
Project ID:
info:eu-repo/grantAgreement/MINECO//MTM2016-77660-P/ES/NUEVOS RETOS EN INTEGRACION NUMERICA: FUNDAMENTOS ALGEBRAICOS, METODOS DE ESCISION, METODOS DE MONTECARLO Y OTRAS APLICACIONES/
Thanks:
Part of this work was developed during a research stay at the Wolfgang Pauli Institute Vienna; the authors are grateful to the director Norbert Mauser and the staff members for their support and hospitality. The first two ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record