A Multigrid Preconditioner for Jacobian-free Newton–Krylov Methods
نویسندگان
چکیده
In this work, we propose a multigrid preconditioner for Jacobian-free Newton-Krylov (JFNK) methods. Our method does not require knowledge of the Jacobian at any level hierarchy. As it is common in standard methods, proposed also relies on three building blocks: transfer operators, smoothers, and coarse solver. addition to restriction prolongation operator, use projection operator current Newton iterate coarser level. The three-level Chebyshev semi-iterative employed as smoother, has good smoothing properties representation matrix. We replace direct solver coarsest with matrix-free Krylov subspace method, thus giving rise truly preconditioner. will discuss all blocks our detail demonstrate robustness efficiency using several numerical examples.
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ژورنال
عنوان ژورنال: Lecture notes in computational science and engineering
سال: 2022
ISSN: ['1439-7358', '2197-7100']
DOI: https://doi.org/10.1007/978-3-030-95025-5_38