Low storage explicit Runge-Kutta method

This paper we are dealing with the high order accurate low storage explicit Runge Kutta (LSERK) methods which mainly are used for temporal discretization and are stable regardless of its accuracy. The main objective of this paper is to compare traditional RK with different forms of LSERK methods. Th...

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Bibliographic Details
Main Author: Diomar Cesar Lobão
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2019-12-01
Series:Semina: Ciências Exatas e Tecnológicas
Subjects:
Online Access:http://www.uel.br/revistas/uel/index.php/semexatas/article/view/36757
Description
Summary:This paper we are dealing with the high order accurate low storage explicit Runge Kutta (LSERK) methods which mainly are used for temporal discretization and are stable regardless of its accuracy. The main objective of this paper is to compare traditional RK with different forms of LSERK methods. The numerical experiments indicate that such methods are highly accurate and effective for numerical purposes. It’s also shown the CPU time consuming and its solution implications. The method is well suited to achieve high order accurate solution for the scalar second order IVP (Initial Value Problem) problem as it is discussed in the present paper.
ISSN:1676-5451
1679-0375