Continuous-stage Runge-Kutta methods based on weighted orthogonal polynomials

Fuente: arXiv
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Main Author: Tang, Wensheng
Format: Preprint
Published: 2018
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_version_ 1866916854325313536
author Tang, Wensheng
author_facet Tang, Wensheng
contents We develop continuous-stage Runge-Kutta methods based on weighted orthogonal polynomials in this paper. There are two main highlighted merits for developing such methods: Firstly, we do not need to study the tedious solution of multi-variable nonlinear algebraic equations associated with order conditions; Secondly, the well-known weighted interpolatory quadrature theory appeared in every numerical analysis textbook can be directly and conveniently used. By introducing weight function, various orthogonal polynomials can be used in the construction of Runge-Kutta-type methods. It turns out that new families of Runge-Kutta-type methods with special properties (e.g., symplectic, symmetric etc.) can be constructed in batches, and hopefully it may produce new applications in numerical ordinary differential equations.
format Preprint
id arxiv_https___arxiv_org_abs_1805_09955
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Continuous-stage Runge-Kutta methods based on weighted orthogonal polynomials
Tang, Wensheng
Numerical Analysis
We develop continuous-stage Runge-Kutta methods based on weighted orthogonal polynomials in this paper. There are two main highlighted merits for developing such methods: Firstly, we do not need to study the tedious solution of multi-variable nonlinear algebraic equations associated with order conditions; Secondly, the well-known weighted interpolatory quadrature theory appeared in every numerical analysis textbook can be directly and conveniently used. By introducing weight function, various orthogonal polynomials can be used in the construction of Runge-Kutta-type methods. It turns out that new families of Runge-Kutta-type methods with special properties (e.g., symplectic, symmetric etc.) can be constructed in batches, and hopefully it may produce new applications in numerical ordinary differential equations.
title Continuous-stage Runge-Kutta methods based on weighted orthogonal polynomials
topic Numerical Analysis
url https://arxiv.org/abs/1805.09955