作文(语言)
颂歌
集合(抽象数据类型)
常微分方程
后向微分公式
理论(学习稳定性)
线性多步法
常微分方程的数值方法
数值稳定性
数学
应用数学
计算机科学
微分方程
数值分析
微分代数方程
数学分析
哲学
机器学习
语言学
程序设计语言
作者
Dmitriy O. Pesterev,Olga Druzhina,Alexander N. Pchelintsev,Erivelton G. Nepomuceno,Денис Бутусов
出处
期刊:Algorithms
[Multidisciplinary Digital Publishing Institute]
日期:2022-12-07
卷期号:15 (12): 463-463
被引量:3
摘要
A composition is a powerful tool for obtaining new numerical methods for solving differential equations. Composition ODE solvers are usually based on single-step basic methods applied with a certain set of step coefficients. However, multistep composition schemes are much less-known and investigated in the literature due to their complex nature. In this paper, we propose several novel schemes for solving ordinary differential equations based on the composition of adjoint multistep methods. Numerical stability, energy preservation, and performance of proposed schemes are investigated theoretically and experimentally using a set of differential problems. The applicability and efficiency of the proposed composition multistep methods are discussed.
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