The aim of this book is to provide a comprehensive introduction to solving large systems of equations.
In addition to direct algorithms, it presents a wide range of classical and modern solvers – from splitting methods and multigrid techniques to current Krylov subspace methods (CG, GMRES, BiCGSTAB, etc.). These methods are discussed both mathematically and in terms of their practical applications. The book also offers an in-depth treatment of preconditioning techniques to accelerate existing methods.
The book covers all the necessary fundamentals, making it highly suitable for self-study. The presentation of the derived algorithms allows for straightforward implementation in any programming language. Detailed MATLAB® implementations of common Krylov methods are included in the appendix. Solutions and additional materials are available online.
This book is a translation of the original German 6th edition. The translation was done with the help of an artificial intelligence machine translation tool. A subsequent human revision was done primarily in terms of content, so that the book may read stylistically differently from a conventional translation.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Prof. Dr. Andreas Meister is a professor of Applied Mathematics at the University of Kassel, where he teaches students of mathematics and engineering as well as future teachers. His research focuses on numerical methods for real-world problems. He has received several awards, including the Kurt-Hartwig-Siemers Research Prize from the Hamburg Scientific Foundation, the Mentorship Award from the Claussen-Simon Foundation, multiple “Lecturer of the Semester” honors, and the Teaching Excellence Award of the federal state of Hesse, Germany.
The aim of this book is to provide a comprehensive introduction to solving large systems of equations.
In addition to direct algorithms, it presents a wide range of classical and modern solvers – from splitting methods and multigrid techniques to current Krylov subspace methods (CG, GMRES, BiCGSTAB, etc.). These methods are discussed both mathematically and in terms of their practical applications. The book also offers an in-depth treatment of preconditioning techniques to accelerate existing methods.
The book covers all the necessary fundamentals, making it highly suitable for self-study. The presentation of the derived algorithms allows for straightforward implementation in any programming language. Detailed MATLAB® implementations of common Krylov methods are included in the appendix. Solutions and additional materials are available online.
This book is a translation of the original German 6th edition. The translation was done with the help of an artificial intelligence machine translation tool. A subsequent human revision was done primarily in terms of content, so that the book may read stylistically differently from a conventional translation.
The Author
Prof. Dr. Andreas Meister is a professor of Applied Mathematics at the University of Kassel, where he teaches students of mathematics and engineering as well as future teachers. His research focuses on numerical methods for real-world problems. He has received several awards, including the Kurt-Hartwig-Siemers Research Prize from the Hamburg Scientific Foundation, the Mentorship Award from the Claussen-Simon Foundation, multiple “Lecturer of the Semester” honors, and the Teaching Excellence Award of the federal state of Hesse, Germany.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to provide a comprehensive introduction to solving large systems of equations.In addition to direct algorithms, it presents a wide range of classical and modern solvers from splitting methods and multigrid techniques to current Krylov subspace methods (CG, GMRES, BiCGSTAB, etc.). These methods are discussed both mathematically and in terms of their practical applications. The book also offers an in-depth treatment of preconditioning techniques to accelerate existing methods.The book covers all the necessary fundamentals, making it highly suitable for self-study. The presentation of the derived algorithms allows for straightforward implementation in any programming language. Detailed MATLAB® implementations of common Krylov methods are included in the appendix. Solutions and additional materials are available online.This book is a translation of the original German 6th edition. The translation was done with the help of an artificial intelligence machine translation tool. A subsequent human revision was done primarily in terms of content, so that the book may read stylistically differently from a conventional translation. 297 pp. Englisch. Codice articolo 9783658502591
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of this book is to provide a comprehensive introduction to solving large systems of equations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch. Codice articolo 9783658502591
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The aim of this book is to provide a comprehensive introduction to solving large systems of equations.In addition to direct algorithms, it presents a wide range of classical and modern solvers from splitting methods and multigrid techniques to current Krylov subspace methods (CG, GMRES, BiCGSTAB, etc.). These methods are discussed both mathematically and in terms of their practical applications. The book also offers an in-depth treatment of preconditioning techniques to accelerate existing methods.The book covers all the necessary fundamentals, making it highly suitable for self-study. The presentation of the derived algorithms allows for straightforward implementation in any programming language. Detailed MATLAB® implementations of common Krylov methods are included in the appendix. Solutions and additional materials are available online.This book is a translation of the original German 6th edition. The translation was done with the help of an artificial intelligence machine translation tool. A subsequent human revision was done primarily in terms of content, so that the book may read stylistically differently from a conventional translation. Codice articolo 9783658502591
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Numerical Methods for Linear Systems of Equations | An Introduction to Modern Methods With MATLAB® Implementations by C. Vömel | Andreas Meister | Taschenbuch | x | Englisch | 2026 | Springer | EAN 9783658502591 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 134433983
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