This work analyzes convergence of NGMRES for nonlinear systems, suggesting improved iteration performance.
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 $m>0$ 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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Yunhui He (2025) studied this question.
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