Hardcover. This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. It includes standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative methods and the calculation of eigenvalues. Later chapters cover more advanced material, such as Krylov subspace methods, multigrid methods, domain decomposition methods, multipole expansions, hierarchical matrices and compressed sensing. The book provides rigorous mathematical proofs throughout, and gives algorithms in general-purpose language-independent form. Requiring only a solid knowledge in linear algebra and basic analysis, this book will be useful for applied mathematicians, engineers, computer scientists, and all those interested in efficiently solving linear problems. This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. This book will be of particular use to applied mathematicians, engineers, computer scientists, and to all those interested in efficiently solving linear problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verk�ufers 9781107147133

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Bibliografische Details

Titel: Numerical Linear Algebra (Hardcover)
Verlag: Cambridge University Press, Cambridge
Erscheinungsjahr: 2017
Sprache: Englisch
ISBN-10: 1107147131
ISBN-13: 9781107147133
Einband: Hardcover
Zustand: new

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Inhaltsangabe

This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.

�ber die Autorin bzw. den Autor

Holger Wendland holds the Chair of Applied and Numerical Analysis at the Universit�t Bayreuth, Germany. He works in the area of Numerical Analysis and is the author of two books, Scattered Data Approximation (Cambridge, 2005) and Numerische Mathematik (2004, with Robert Schaback).

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