Finite difference schemes with non polynomial local conservation laws

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-04-01 Epub Date: 2024-10-28 DOI:10.1016/j.cam.2024.116330
Gianluca Frasca-Caccia
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引用次数: 0

Abstract

A new technique has been recently introduced to define finite difference schemes that preserve local conservation laws. So far, this approach has been applied to find parametric families of numerical methods with polynomial conservation laws. This paper extends the existing approach to preserve non polynomial conservation laws. Although the approach is general, the treatment of the nonlinear terms depends on the problem at hand. New parameter depending families of conservative schemes are here introduced for the sine–Gordon equation and a magma equation. Optimal methods in each family are identified by finding values of the parameters that minimize a defect-based approximation of the local error in the time discretization.
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具有非多项式局部守恒定律的有限差分方案
最近引入了一种新技术来定义保持局部守恒定律的有限差分方案。迄今为止,这种方法一直用于寻找多项式守恒定律数值方法的参数族。本文扩展了现有方法,以保留非多项式守恒定律。虽然该方法是通用的,但对非线性项的处理取决于手头的问题。本文针对正弦-戈登方程和岩浆方程引入了新的参数依赖保守方案系列。通过寻找参数值,使时间离散化中基于缺陷的局部误差近似值最小化,从而确定每个系列中的最佳方法。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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