A survey of subspace recycling iterative methods

KM Soodhalter, E de Sturler, ME Kilmer - GAMM‐Mitteilungen, 2020 - Wiley Online Library
This survey concerns subspace recycling methods, a popular class of iterative methods that
enable effective reuse of subspace information in order to speed up convergence and find …

Analysis and algorithms for parametrization, optimization and customization of sled hockey equipment and other dynamical systems

Y Liang - 2020 - dspace.mit.edu
A dynamical system, an ensemble of particles, states of which evolve over time, can be
described using a system of ordinary/partial differential equations (ODEs/PDEs). This …

Krylov methods for nonsymmetric linear systems

G Meurant, JD Tebbens - Cham: Springer, 2020 - Springer
Solving systems of algebraic linear equations is among the most frequent problems in
scientific computing. It appears in many areas like physics, engineering, chemistry, biology …

[图书][B] A Journey through the History of Numerical Linear Algebra

C Brezinski, G Meurant, M Redivo-Zaglia - 2022 - SIAM
A Journey through the History of Numerical Linear Algebra: Back Matter Page 1 Bibliography
[1] A. Abdelfattah, H. Anzt, A. Bouteiller, A. Danalis, JJ Dongarra, M. Gates, A. Haidar, J. Kurzak …

An improved two‐grid preconditioner for the solution of three‐dimensional Helmholtz problems in heterogeneous media

H Calandra, S Gratton, X Pinel… - … Linear Algebra with …, 2013 - Wiley Online Library
In this paper, we address the solution of three‐dimensional heterogeneous Helmholtz
problems discretized with second‐order finite difference methods with application to …

KSPHPDDM and PCHPDDM: Extending PETSc with advanced Krylov methods and robust multilevel overlapping Schwarz preconditioners

P Jolivet, JE Roman, S Zampini - Computers & Mathematics with …, 2021 - Elsevier
Contemporary applications in computational science and engineering often require the
solution of linear systems which may be of different sizes, shapes, and structures. The goal …

Comparative study of inner–outer Krylov solvers for linear systems in structured and high-order unstructured CFD problems

M Jadoui, C Blondeau, E Martin, F Renac, FX Roux - Computers & Fluids, 2022 - Elsevier
Advanced Krylov subspace methods are investigated for the solution of large sparse linear
systems arising from stiff adjoint-based aerodynamic shape optimization problems. A special …

Block iterative methods and recycling for improved scalability of linear solvers

P Jolivet, PH Tournier - SC'16: Proceedings of the International …, 2016 - ieeexplore.ieee.org
Contemporary large-scale Partial Differential Equation (PDE) simulations usually require the
solution of large and sparse linear systems. Moreover, it is often needed to solve these …

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling

H Wang, Z Hao, J Wang, Z Geng, Z Wang, B Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Learning neural operators for solving partial differential equations (PDEs) has attracted
great attention due to its high inference efficiency. However, training such operators requires …

Recycling Krylov subspaces and truncating deflation subspaces for solving sequence of linear systems

HA Daas, L Grigori, P Hénon, P Ricoux - ACM Transactions on …, 2021 - dl.acm.org
This article presents deflation strategies related to recycling Krylov subspace methods for
solving one or a sequence of linear systems of equations. Besides well-known strategies of …