Numerical Linear Algebra
An Introduction
Published on 16. November 2017
Book
Hardback
418 pages
978-1-107-14713-3 (ISBN)
Description
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.
Reviews / Votes
'Wendland delivers an introductory textbook on numerical linear algebra intended for advanced undergraduate and graduate students in applied mathematics. The book covers fairly standard material in this area; it includes error analysis and ill-conditioning, direct and iterative methods for the solution of linear systems of equations, least squares problems, and eigenvalue problems. Additional advanced topics that are not usually covered in introductory textbooks include multipole expansions, domain decomposition methods, and compressive sensing. The book is generally theoretical and mathematically rigorous in its approach. Algorithms are given only in pseudocode. ... The text will be of interest primarily to instructors and students in graduate numerical linear algebra courses.' B. Borchers, Choice 'Wendland's book provides the reader with rigorous and clean proofs throughout the text. There are a lot of new concepts being presented that can spark the interest of a student who wishes to take numerical linear algebra and can also serve as an excellent resource for an independent study. If you are considering a new text for your numerical linear algebra class or wish to supplement with another resource, I would recommend giving this book a review.' Peter Olszewski, MAA ReviewsMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
Worked examples or Exercises; 5 Halftones, black and white; 16 Line drawings, black and white
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 29 mm
Weight
831 gr
ISBN-13
978-1-107-14713-3 (9781107147133)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
11/2017
Cambridge University Press
€42.49
Available for download
E-Book
11/2017
Cambridge University Press
€35.49
Available for download
Book
11/2017
Cambridge University Press
€58.40
Shipment within 15-20 days
Person
Holger Wendland holds the Chair of Applied and Numerical Analysis at the Universitaet 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).
Content
Part I. Preliminaries: 1. Introduction; 2. Error, stability and conditioning; Part II. Basic Methods: 3. Direct methods for solving linear systems; 4. Iterative methods for solving linear systems; 5. Calculation of eigenvalues; Part III. Advanced Methods: 6. Methods for large sparse systems; 7. Methods for large dense systems; 8. Preconditioning; 9. Compressed sensing; References; Index.