Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs

Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs
Author :
Publisher : SIAM
Total Pages : 106
Release :
ISBN-10 : 9781611973846
ISBN-13 : 1611973848
Rating : 4/5 (848 Downloads)

Book Synopsis Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs by : Josef Malek

Download or read book Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs written by Josef Malek and published by SIAM. This book was released on 2014-12-22 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs is about the interplay between modeling, analysis, discretization, matrix computation, and model reduction. The authors link PDE analysis, functional analysis, and calculus of variations with matrix iterative computation using Krylov subspace methods and address the challenges that arise during formulation of the mathematical model through to efficient numerical solution of the algebraic problem. The book?s central concept, preconditioning of the conjugate gradient method, is traditionally developed algebraically using the preconditioned finite-dimensional algebraic system. In this text, however, preconditioning is connected to the PDE analysis, and the infinite-dimensional formulation of the conjugate gradient method and its discretization and preconditioning are linked together. This text challenges commonly held views, addresses widespread misunderstandings, and formulates thought-provoking open questions for further research.


Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs Related Books

Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs
Language: en
Pages: 106
Authors: Josef Malek
Categories: Mathematics
Type: BOOK - Published: 2014-12-22 - Publisher: SIAM

DOWNLOAD EBOOK

Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs is about the interplay between modeling, analysis, discretization, matrix compu
Error Norm Estimation in the Conjugate Gradient Algorithm
Language: en
Pages: 138
Authors: Gérard Meurant
Categories: Mathematics
Type: BOOK - Published: 2024-01-30 - Publisher: SIAM

DOWNLOAD EBOOK

The conjugate gradient (CG) algorithm is almost always the iterative method of choice for solving linear systems with symmetric positive definite matrices. This
Saddle-Point Problems and Their Iterative Solution
Language: en
Pages: 136
Authors: Miroslav Rozložník
Categories: Mathematics
Type: BOOK - Published: 2018-11-19 - Publisher: Springer

DOWNLOAD EBOOK

This book provides essential lecture notes on solving large linear saddle-point systems, which arise in a wide range of applications and often pose computationa
Iterative Solution of Symmetric Quasi-Definite Linear Systems
Language: en
Pages: 101
Authors: Dominique Orban
Categories: Mathematics
Type: BOOK - Published: 2017-04-07 - Publisher: SIAM

DOWNLOAD EBOOK

Numerous applications, including computational optimization and fluid dynamics, give rise to block linear systems of equations said to have the quasi-definite s
Numerical Homogenization by Localized Decomposition
Language: en
Pages: 120
Authors: Axel Målqvist
Categories: Mathematics
Type: BOOK - Published: 2020-11-23 - Publisher: SIAM

DOWNLOAD EBOOK

This book presents the first survey of the Localized Orthogonal Decomposition (LOD) method, a pioneering approach for the numerical homogenization of partial di