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Main Authors: Hu, Xianfa, Geng, Fazhan, Wang, Wansheng
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2603.00594
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author Hu, Xianfa
Geng, Fazhan
Wang, Wansheng
author_facet Hu, Xianfa
Geng, Fazhan
Wang, Wansheng
contents In this paper, we consider the integrating factor midpoint method for wave-type equations and derive optimal order a posteriori error estimates. We first introduce an integrating factor midpoint approximation defined by the piecewise linear approximate solutions, and derive suboptimal order residual-based error estimates using the energy technique. Hence the key is introducing a continuous, piecewise quadratic time reconstruction to establish optimal order error bounds. Based on the reliable a posteriori error control, we develop an adaptive time-stepping strategy. Numerical examples are implemented to verify the convergence rate of an error estimator and the high efficiency of the adaptive algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2603_00594
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle An adaptive integrating factor midpoint method for second order evolution equations
Hu, Xianfa
Geng, Fazhan
Wang, Wansheng
Numerical Analysis
In this paper, we consider the integrating factor midpoint method for wave-type equations and derive optimal order a posteriori error estimates. We first introduce an integrating factor midpoint approximation defined by the piecewise linear approximate solutions, and derive suboptimal order residual-based error estimates using the energy technique. Hence the key is introducing a continuous, piecewise quadratic time reconstruction to establish optimal order error bounds. Based on the reliable a posteriori error control, we develop an adaptive time-stepping strategy. Numerical examples are implemented to verify the convergence rate of an error estimator and the high efficiency of the adaptive algorithm.
title An adaptive integrating factor midpoint method for second order evolution equations
topic Numerical Analysis
url https://arxiv.org/abs/2603.00594