nlKrylov: A Unified Framework for Nonlinear GCR-type Krylov Subspace Methods

Fuente: arXiv
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Main Authors: Werner, Tom, Wan, Ning, Miedlar, Agnieszka
Format: Preprint
Published: 2025
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_version_ 1866917089710702592
author Werner, Tom
Wan, Ning
Miedlar, Agnieszka
author_facet Werner, Tom
Wan, Ning
Miedlar, Agnieszka
contents In this paper, we introduce a unified framework for nonlinear Krylov subspace methods (nlKrylov) to solve systems of nonlinear equations. Building on classical GCR-like/type linear Krylov solvers such as GMRESR, we generalize these approaches to nonlinear problems via nested algorithmic structures. We present rigorous convergence results for problems, relying on relaxed assumptions that avoid the need for exact line searches. The framework is further extended to matrix-valued rootfinding problems using global nonlinear Krylov approaches. Extensive numerical experiments validate the theoretical insights and demonstrate the robustness and efficiency of our proposed algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14713
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle nlKrylov: A Unified Framework for Nonlinear GCR-type Krylov Subspace Methods
Werner, Tom
Wan, Ning
Miedlar, Agnieszka
Numerical Analysis
39B42, 65B99, 65F08, 65F10, 65H10, 65N22, 68W25, 90C53
In this paper, we introduce a unified framework for nonlinear Krylov subspace methods (nlKrylov) to solve systems of nonlinear equations. Building on classical GCR-like/type linear Krylov solvers such as GMRESR, we generalize these approaches to nonlinear problems via nested algorithmic structures. We present rigorous convergence results for problems, relying on relaxed assumptions that avoid the need for exact line searches. The framework is further extended to matrix-valued rootfinding problems using global nonlinear Krylov approaches. Extensive numerical experiments validate the theoretical insights and demonstrate the robustness and efficiency of our proposed algorithms.
title nlKrylov: A Unified Framework for Nonlinear GCR-type Krylov Subspace Methods
topic Numerical Analysis
39B42, 65B99, 65F08, 65F10, 65H10, 65N22, 68W25, 90C53
url https://arxiv.org/abs/2511.14713