A spectral Levenberg–Marquardt-Deflation method for multiple solutions of semilinear elliptic systems

Numerous practical problems give rise to nonlinear differential equations that may exhibit multiple nontrivial solutions relevant to applications. Efficiently computing these solutions is crucial for a profound understanding of these problems and enhancing various applications. Therefore, the development of a numerical method capable of finding multiple solutions efficiently is imperative. Additionally, the provision of an efficient iteration process is vital for promptly obtaining multiple solutions. In the current paper, we introduce a novel algorithm for identifying multiple solutions of semilinear elliptic systems, where the trust region Levenberg–Marquardt method, combined with the deflation technique, is designed to compute multiple solutions for the first time. Based on several numerical experiments, our algorithm demonstrates efficacy in efficiently identifying multiple solutions, even when the nonlinear term appearing in these equations involves solely the first derivative. Moreover, we validate the efficiency of our algorithm and unveil previously undiscovered solutions in the existing literature

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Publication Details

Journal
Journal of Computational and Applied Mathematics
Published
2025-08-09
DOI
https://doi.org/10.1016/j.cam.2025.116998
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

A spectral Levenberg–Marquardt-Deflation method for multiple solutions of semilinear elliptic systems

Yuan Zhou, Pengcheng Xie, Lin Li, Huiyuan Li
Journal of Computational and Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

A spectral Levenberg–Marquardt-Deflation method for multiple solutions of semilinear elliptic systems

Yuan Zhou, Pengcheng Xie, Lin Li, Huiyuan Li
article en

Abstract

Numerous practical problems give rise to nonlinear differential equations that may exhibit multiple nontrivial solutions relevant to applications. Efficiently computing these solutions is crucial for a profound understanding of these problems and enhancing various applications. Therefore, the development of a numerical method capable of finding multiple solutions efficiently is imperative. Additionally, the provision of an efficient iteration process is vital for promptly obtaining multiple solutions. In the current paper, we introduce a novel algorithm for identifying multiple solutions of semilinear elliptic systems, where the trust region Levenberg–Marquardt method, combined with the deflation technique, is designed to compute multiple solutions for the first time. Based on several numerical experiments, our algorithm demonstrates efficacy in efficiently identifying multiple solutions, even when the nonlinear term appearing in these equations involves solely the first derivative. Moreover, we validate the efficiency of our algorithm and unveil previously undiscovered solutions in the existing literature

Journal of Computational and Applied MathematicsVol. 475
Lawrence Berkeley National Laboratory (US), Chinese Academy of Sciences (CN), Institute of Software (CN), University of South China (CN)
Openalex Percentile: Top 78%
Advanced Numerical Methods in Computational Mathematics
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A spectral Levenberg–Marquardt-Deflation method for multiple solutions of semilinear elliptic systems — Yuan Zhou, Pengcheng Xie, et al. · Journal of Computational and Applied Mathematics (2025) | TGRS Research Map | TGRS