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Krylov Methods for Nonsymmetric Linear Systems
From Theory to Computations
Taschenbuch von Jurjen Duintjer Tebbens (u. a.)
Sprache: Englisch

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Beschreibung
This book aims to give an encyclopedic overview of the state-of-the-art of Krylov subspace iterative methods for solving nonsymmetric systems of algebraic linear equations and to study their mathematical properties. Solving systems of algebraic linear equations is among the most frequent problems in scientific computing; it is used in many disciplines such as physics, engineering, chemistry, biology, and several others. Krylov methods have progressively emerged as the iterative methods with the highest efficiency while being very robust for solving large linear systems; they may be expected to remain so, independent of progress in modern computer-related fields such as parallel and high performance computing. The mathematical properties of the methods are described and analyzed along with their behavior in finite precision arithmetic. A number of numerical examples demonstrate the properties and the behavior of the described methods. Also considered are the methods¿ implementations and coding as Matlab®-like functions. Methods which became popular recently are considered in the general framework of Q-OR (quasi-orthogonal )/Q-MR (quasi-minimum) residual methods.
This book can be useful for both practitioners and for readers who are more interested in theory. Together with a review of the state-of-the-art, it presents a number of recent theoretical results of the authors, some of them unpublished, as well as a few original algorithms. Some of the derived formulas might be useful for the design of possible new methods or for future analysis. For the more applied user, the book gives an up-to-date overview of the majority of the available Krylov methods for nonsymmetric linear systems, including well-known convergence properties and, as we said above, template codes that can serve as the base for more individualized and elaborate implementations.
This book aims to give an encyclopedic overview of the state-of-the-art of Krylov subspace iterative methods for solving nonsymmetric systems of algebraic linear equations and to study their mathematical properties. Solving systems of algebraic linear equations is among the most frequent problems in scientific computing; it is used in many disciplines such as physics, engineering, chemistry, biology, and several others. Krylov methods have progressively emerged as the iterative methods with the highest efficiency while being very robust for solving large linear systems; they may be expected to remain so, independent of progress in modern computer-related fields such as parallel and high performance computing. The mathematical properties of the methods are described and analyzed along with their behavior in finite precision arithmetic. A number of numerical examples demonstrate the properties and the behavior of the described methods. Also considered are the methods¿ implementations and coding as Matlab®-like functions. Methods which became popular recently are considered in the general framework of Q-OR (quasi-orthogonal )/Q-MR (quasi-minimum) residual methods.
This book can be useful for both practitioners and for readers who are more interested in theory. Together with a review of the state-of-the-art, it presents a number of recent theoretical results of the authors, some of them unpublished, as well as a few original algorithms. Some of the derived formulas might be useful for the design of possible new methods or for future analysis. For the more applied user, the book gives an up-to-date overview of the majority of the available Krylov methods for nonsymmetric linear systems, including well-known convergence properties and, as we said above, template codes that can serve as the base for more individualized and elaborate implementations.
Zusammenfassung

Contains an overview of state-of-the-art Krylov subspace methods including new theoretical convergence results

Emphasis is placed on the construction of examples with prescribed convergence histories for many of the described methods

Matlab codes included for most of the described methods and techniques

New results are presented in the context of a unifying framework that are valid for classes of methods (so-called quasi-minimum residual and quasi-orthogonal residual methods)

Contains descriptions of important methods not treated in previous books

Inhaltsverzeichnis
1. Notation, definitions and tools.- 2. Q-OR and Q-MR methods.- 3. Bases for Krylov subspaces.- 4. FOM/GMRES and variants.- 5. Methods equivalent to FOM or GMRES- 6. Hessenberg/CMRH .- 7. BiCG/QMR and Lanczos algorithms .- 8. Transpose-free Lanczos methods.- 9. The IDR family.- 10. Restart, deflation and truncation .- 11. Related topics.- 12. Numerical comparison of methods.- A. Test matrices and short biographical notices.- References.- Index.
Details
Erscheinungsjahr: 2021
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiv
686 S.
184 s/w Illustr.
686 p. 184 illus.
ISBN-13: 9783030552534
ISBN-10: 3030552535
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Duintjer Tebbens, Jurjen
Meurant, Gérard
Auflage: 1st edition 2020
Hersteller: Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 38 mm
Von/Mit: Jurjen Duintjer Tebbens (u. a.)
Erscheinungsdatum: 03.10.2021
Gewicht: 1,042 kg
Artikel-ID: 120525895
Zusammenfassung

Contains an overview of state-of-the-art Krylov subspace methods including new theoretical convergence results

Emphasis is placed on the construction of examples with prescribed convergence histories for many of the described methods

Matlab codes included for most of the described methods and techniques

New results are presented in the context of a unifying framework that are valid for classes of methods (so-called quasi-minimum residual and quasi-orthogonal residual methods)

Contains descriptions of important methods not treated in previous books

Inhaltsverzeichnis
1. Notation, definitions and tools.- 2. Q-OR and Q-MR methods.- 3. Bases for Krylov subspaces.- 4. FOM/GMRES and variants.- 5. Methods equivalent to FOM or GMRES- 6. Hessenberg/CMRH .- 7. BiCG/QMR and Lanczos algorithms .- 8. Transpose-free Lanczos methods.- 9. The IDR family.- 10. Restart, deflation and truncation .- 11. Related topics.- 12. Numerical comparison of methods.- A. Test matrices and short biographical notices.- References.- Index.
Details
Erscheinungsjahr: 2021
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiv
686 S.
184 s/w Illustr.
686 p. 184 illus.
ISBN-13: 9783030552534
ISBN-10: 3030552535
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Duintjer Tebbens, Jurjen
Meurant, Gérard
Auflage: 1st edition 2020
Hersteller: Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 38 mm
Von/Mit: Jurjen Duintjer Tebbens (u. a.)
Erscheinungsdatum: 03.10.2021
Gewicht: 1,042 kg
Artikel-ID: 120525895
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