Least-squares finite element method for ordinary differential equations

被引:1
|
作者
Chung, Matthias [1 ,2 ,3 ]
Krueger, Justin [1 ]
Liu, Honghu [1 ]
机构
[1] Virginia Tech, Dept Math, Blacksburg, VA 24060 USA
[2] Virginia Tech, Acad Data Sci, Blacksburg, VA USA
[3] Emory Univ, Dept Math, Atlanta, GA USA
基金
美国国家科学基金会;
关键词
Least-squares finite element method; Initial value problem; Convergence of least-squares solutions; Optimal error estimates; Ordinary differential equations; PARAMETER;
D O I
10.1016/j.cam.2022.114660
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider the least-squares finite element method (lsfem) for systems of nonlinear ordinary differential equations, and establish an optimal error estimate for this method when piecewise linear elements are used. The main assumptions are that the vector field is sufficiently smooth and that the local Lipschitz constant as well as the operator norm of the Jacobian matrix associated with the nonlinearity are sufficiently small, when restricted to a suitable neighborhood of the true solution for the considered initial value problem. This theoretic optimality is further illustrated numerically, along with evidence of possible extension to higher-order basis elements. Examples are also presented to show the advantages of lsfem compared with finite difference methods in various scenarios. Suitable modifications for adaptive time-stepping are discussed as well. (C) 2022 Elsevier B.V. All rights reserved.
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页数:21
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