Preconditioners for Krylov subspace methods: An overview

JW Pearson, J Pestana - GAMM‐Mitteilungen, 2020 - Wiley Online Library
When simulating a mechanism from science or engineering, or an industrial process, one is
frequently required to construct a mathematical model, and then resolve this model …

[图书][B] Krylov subspace methods: principles and analysis

J Liesen, Z Strakos - 2013 - books.google.com
The mathematical theory of Krylov subspace methods with a focus on solving systems of
linear algebraic equations is given a detailed treatment in this principles-based book …

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 …

Energy contraction and optimal convergence of adaptive iterative linearized finite element methods

P Heid, D Praetorius, TP Wihler - Computational Methods in Applied …, 2021 - degruyter.com
We revisit a unified methodology for the iterative solution of nonlinear equations in Hilbert
spaces. Our key observation is that the general approach from [P. Heid and TP Wihler …

Rate optimality of adaptive finite element methods with respect to overall computational costs

G Gantner, A Haberl, D Praetorius… - Mathematics of …, 2021 - ams.org
We consider adaptive finite element methods for second-order elliptic PDEs, where the
arising discrete systems are not solved exactly. For contractive iterative solvers, we …

Cost-optimal adaptive iterative linearized FEM for semilinear elliptic PDEs

R Becker, M Brunner, M Innerberger… - ESAIM: Mathematical …, 2023 - esaim-m2an.org
We consider scalar semilinear elliptic PDEs where the nonlinearity is strongly monotone, but
only locally Lipschitz continuous. We formulate an adaptive iterative linearized finite element …

Rate optimal adaptive FEM with inexact solver for nonlinear operators

G Gantner, A Haberl, D Praetorius… - IMA Journal of …, 2018 - academic.oup.com
We prove convergence with optimal algebraic rates for an adaptive finite element method for
nonlinear equations with strongly monotone operator. Unlike prior works, our analysis also …

Estimating and localizing the algebraic and total numerical errors using flux reconstructions

J Papež, Z Strakoš, M Vohralík - Numerische Mathematik, 2018 - Springer
This paper presents a methodology for computing upper and lower bounds for both the
algebraic and total errors in the context of the conforming finite element discretization of the …

Interplay between discretization and algebraic computation in adaptive numerical solutionof elliptic pde problems

M Arioli, J Liesen, A Miçdlar, Z Strakoš - GAMM‐Mitteilungen, 2013 - Wiley Online Library
Abstract The Adaptive Finite Element Method (AFEM) for approximating solutions of PDE
boundary value and eigenvalue problems is a numerical scheme that automatically and …

Sharp algebraic and total a posteriori error bounds for h and p finite elements via a multilevel approach. Recovering mass balance in any situation

J Papež, U Rüde, M Vohralík, B Wohlmuth - Computer Methods in Applied …, 2020 - Elsevier
We present novel H (div) and H 1 liftings of given piecewise polynomials over a hierarchy of
simplicial meshes, based on a global solve on the coarsest mesh and on local solves on …