A Multigrid Preconditioner for Jacobian-free Newton–Krylov Methods

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Abstract

The numerical solution of partial differential equations (PDEs) is often carried out using discretization techniques, such as the finite element method (FEM), and typically requires the solution of a nonlinear system of equations. These nonlinear systems are often solved using some variant of the Newton method, which utilizes a sequence of iterates generated by solving a linear system of equations. However, for problems such as inverse problems, optimal control problems, or higher-order coupled PDEs, it can be computationally expensive, or even impossible to assemble a Jacobian matrix.

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Kothari, H., Kopaničáková, A., & Krause, R. (2022). A Multigrid Preconditioner for Jacobian-free Newton–Krylov Methods. In Lecture Notes in Computational Science and Engineering (Vol. 145, pp. 365–372). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-95025-5_38

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