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February 26, 2026IMA Journal of Numerical Analysis0 citations

Convergence analysis for nonlinear GMRES

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YHYunhui He

Key Points

  • The research aims to analyze the convergence properties of the NGMRES method applied to nonlinear problems.
  • Revisiting NGMRES for nonlinear problems
  • Consideration of finite window size m for NGMRES(m)
  • Proof of convergence conditions for residuals
  • Residuals of NGMRES(m) converge r-linearly for general m>0
  • Residuals of NGMRES(0) converge q-linearly under specific conditions

Abstract

Abstract In this work we revisit nonlinear generalized minimal residual method (NGMRES) applied to nonlinear problems. NGMRES is used to accelerate the convergence of fixed-point iterations, which can substantially improve the performance of the underlying fixed-point iterations. We consider NGMRES with a finite window size m, denoted as NGMRES (m). However, there is no convergence analysis for NGMRES (m) applied to nonlinear systems. We prove that for general m0 the residuals of NGMRES (m) converge r-linearly under some conditions. For m=0, we prove that the residuals of NGMRES (0) converge q-linearly.

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Cite This Study

Yunhui He (2025) studied this question.

synapsesocial.com/papers/699fe3af95ddcd3a253e7c1fhttps://doi.org/10.1093/imanum/draf143
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