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Applied Numerical Linear Algebra by James W. Demmel (1997, Trade Paperback)
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Designed for first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition.
- Buy It NowApplied Numerical Linear Algebra
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About this product
Product Identifiers
PublisherSociety for Industrial AND Applied Mathematics
ISBN-100898713897
ISBN-139780898713893
eBay Product ID (ePID)393249
Product Key Features
Number of Pages430 Pages
Publication NameApplied Numerical Linear Algebra
LanguageEnglish
SubjectAlgebra / Linear, Mathematical Analysis
Publication Year1997
TypeTextbook
Subject AreaMathematics
AuthorJames W. Demmel
FormatTrade Paperback
Dimensions
Item Height0.9 in
Item Weight30.1 Oz
Item Length9.9 in
Item Width6.7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN97-017290
Dewey Edition21
Reviews'...The disposition is very much like a series of lectures, new concepts are introduced precisely where needed ... Illustrating examples are given, some reporting really heavy computations, but the author does not shy away from giving mathematical proofs where that is needed ...'A. Ruhe, Zeitschrift fur Mathematik und ihre Grenzgebiete, '...Compare Demmel with the standard work by G. Golub and C. Van Loan, Matrix Computations (3rd ed., 1996) ... Demmel offers a smaller number of topics but focuses on the most important, and provides a more readable introduction for beginners.'B. Borchers, CHOICE, 'If you do any computing with matrices - including linear systems, least squares, and eigenvalues - this book cannot but help you understand what you are doing and why. It presents state-of-the-art material (as of June 1997) and can serve as a text or a reference...'L. Ehrlich, Randallstown, MD, Computing Reviews, "Jim Demmel's book on applied numerical linear algebra is a wonderful text blending together the mathematical basis, good numerical software, and practical knowledge for solving real problems. It is destined to be a classic." -Jack Dongarra, Department of Computer Science, University of Tennessee, Knoxville., '…The disposition is very much like a series of lectures, new concepts are introduced precisely where needed … Illustrating examples are given, some reporting really heavy computations, but the author does not shy away from giving mathematical proofs where that is needed …' A. Ruhe, Zeitschrift fur Mathematik und ihre Grenzgebiete, '…This book is a friendly treatment of numerical linear algebra tailored to first-year graduate students from a variety of engineering and scientific disciplines. The treatment of rounding error analysis and perturbation theory is exceptionally thorough and careful … The author's writing style is very clear and a pleasure to read.' William W. Hager, Mathematical Reviews, ‘…Compare Demmel with the standard work by G. Golub and C. Van Loan, Matrix Computations (3rd ed., 1996) … Demmel offers a smaller number of topics but focuses on the most important, and provides a more readable introduction for beginners.’B. Borchers, CHOICE, '...The disposition is very much like a series of lectures, new concepts are introduced precisely where needed ... Illustrating examples are given, some reporting really heavy computations, but the author does not shy away from giving mathematical proofs where that is needed ...' A. Ruhe, Zeitschrift fur Mathematik und ihre Grenzgebiete, 'If you do any computing with matrices - including linear systems, least squares, and eigenvalues - this book cannot but help you understand what you are doing and why. It presents state-of-the-art material (as of June 1997) and can serve as a text or a reference...' L. Ehrlich, Randallstown, MD, Computing Reviews, '...Compare Demmel with the standard work by G. Golub and C. Van Loan, Matrix Computations (3rd ed., 1996) ... Demmel offers a smaller number of topics but focuses on the most important, and provides a more readable introduction for beginners.' B. Borchers, CHOICE, ‘… highly recommended to graduate students in the field and a must for university libraries. Students will enjoy the gradual introduction to problems clearly marked as Easy, Medium, or Hard according to their level of difficulty. Readers will benefit from reading the preface to acquaint themselves with the philosophy that guided the author while writing the book.’L. Y. Bahar, Applied Mechanics Review, '... highly recommended to graduate students in the field and a must for university libraries. Students will enjoy the gradual introduction to problems clearly marked as Easy, Medium, or Hard according to their level of difficulty. Readers will benefit from reading the preface to acquaint themselves with the philosophy that guided the author while writing the book.'L. Y. Bahar, Applied Mechanics Review, "Demmel's book covers the state of the art tools of numerical linear algebra. He tells us how they work and why they work so well. He also gives many references to recent research work. … he avoids including everything, so the book is still easy to read. …" -Martin H. Gutknecht, IPS Supercomputing in Zurich, Switzerland., "This is an excellent graduate-level textbook for people who want to learn or teach the state of the art of numerical linear algebra. It covers systematically all the fundamental topics in theory, as well as software implementation. The book is very easy to use in the classroom since it provides pointers, in the book and on the author's home page, to lots of available Matlab and LAPACK routines, and it has a large number of homework problems marked with Easy, Medium and Hard. The book requires the students to have a stronger background in linear algebra than most other engineering books on numerical linear algebra." -Xia-Chuan Cai, Department of Computer Science, University of Colorado., ‘…This book is a friendly treatment of numerical linear algebra tailored to first-year graduate students from a variety of engineering and scientific disciplines. The treatment of rounding error analysis and perturbation theory is exceptionally thorough and careful … The author's writing style is very clear and a pleasure to read.’William W. Hager, Mathematical Reviews, '...This book is a friendly treatment of numerical linear algebra tailored to first-year graduate students from a variety of engineering and scientific disciplines. The treatment of rounding error analysis and perturbation theory is exceptionally thorough and careful ... The author's writing style is very clear and a pleasure to read.' William W. Hager, Mathematical Reviews, "This book has many unprecedented features as a graduate textbook and research reference book on numerical linear algebra and matrix computations. Many topics appear for the first time in a graduate textbook, such as single precision iterative refinement, relative perturbation theory, full-version of divide-and-conquer method, high precision Jacobi method, connection of QR method and the Toda lattice and so on. …It is astonishing to what extent this book, by means of systematic and easily understandable exposition, has succeeded in making clear the state of the art of numerical linear algebra theory, methods and analysis which we numerical analysts consider the lively frontier of our current work." -Zhaojun Bai, University of Kentucky., '…Compare Demmel with the standard work by G. Golub and C. Van Loan, Matrix Computations (3rd ed., 1996) … Demmel offers a smaller number of topics but focuses on the most important, and provides a more readable introduction for beginners.' B. Borchers, CHOICE, '... highly recommended to graduate students in the field and a must for university libraries. Students will enjoy the gradual introduction to problems clearly marked as Easy, Medium, or Hard according to their level of difficulty. Readers will benefit from reading the preface to acquaint themselves with the philosophy that guided the author while writing the book.' L. Y. Bahar, Applied Mechanics Review, '… highly recommended to graduate students in the field and a must for university libraries. Students will enjoy the gradual introduction to problems clearly marked as Easy, Medium, or Hard according to their level of difficulty. Readers will benefit from reading the preface to acquaint themselves with the philosophy that guided the author while writing the book.' L. Y. Bahar, Applied Mechanics Review, 'If you do any computing with matrices - including linear systems, least squares, and eigenvalues - this book cannot but help you understand what you are doing and why. It presents state-of-the-art material (as of June 1997) and can serve as a text or a reference…' L. Ehrlich, Randallstown, MD Computing Reviews, "This book has many unprecedented features as a graduate textbook and research reference book on numerical linear algebra and matrix computations. Many topics appear for the first time in a graduate textbook, such as single precision iterative refinement, relative perturbation theory, full-version of divide-and-conquer method, high precision Jacobi method, connection of QR method and the Toda lattice and so on. ...It is astonishing to what extent this book, by means of systematic and easily understandable exposition, has succeeded in making clear the state of the art of numerical linear algebra theory, methods and analysis which we numerical analysts consider the lively frontier of our current work." -Zhaojun Bai, University of Kentucky., 'If you do any computing with matrices - including linear systems, least squares, and eigenvalues - this book cannot but help you understand what you are doing and why. It presents state-of-the-art material (as of June 1997) and can serve as a text or a reference...' L. Ehrlich, Randallstown, MD Computing Reviews, ‘…The disposition is very much like a series of lectures, new concepts are introduced precisely where needed … Illustrating examples are given, some reporting really heavy computations, but the author does not shy away from giving mathematical proofs where that is needed …’A. Ruhe, Zeitschrift fur Mathematik und ihre Grenzgebiete, "Demmel's book covers the state of the art tools of numerical linear algebra. He tells us how they work and why they work so well. He also gives many references to recent research work. ... he avoids including everything, so the book is still easy to read. ..." -Martin H. Gutknecht, IPS Supercomputing in Zurich, Switzerland., ‘If you do any computing with matrices - including linear systems, least squares, and eigenvalues - this book cannot but help you understand what you are doing and why. It presents state-of-the-art material (as of June 1997) and can serve as a text or a reference…’L. Ehrlich, Randallstown, MD, Computing Reviews, '...This book is a friendly treatment of numerical linear algebra tailored to first-year graduate students from a variety of engineering and scientific disciplines. The treatment of rounding error analysis and perturbation theory is exceptionally thorough and careful ... The author's writing style is very clear and a pleasure to read.'William W. Hager, Mathematical Reviews
IllustratedYes
Dewey Decimal512/.5
Table Of ContentPreface Chapter 1: Introduction. Chapter 2: Linear Equation Solving. Chapter 3: Linear Least Squares Problems. Chapter 4: Nonsymmetric Eigenvalue Problems. Chapter 5: The Symmetric Eigenproblem and Singular Value Decomposition. Chapter 6: Iterative Methods for Linear Systems. Chapter 7: Iterative Methods for Eigenvalue Problems. Bibliography Index
SynopsisDesigned for use by first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition., Designed for first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely used LAPACK and ScaLAPACK linear algebra libraries, draws on this experience to present state-of-the-art techniques for these problems, including recommending which algorithms to use in various practical situations. Algorithms are derived in a mathematically illuminating way, including condition numbers and error bounds. Direct and iterative algorithms, suitable for dense and sparse matrices, are discussed. Algorithm design for modern computer architectures, where moving data is often more expensive than arithmetic operations, is discussed in detail, using LAPACK as an illustration. There are many numerical examples throughout the text and in the problems at the ends of chapters, most of which are written in MATLAB and are freely available on the Web.
LC Classification NumberQA184.D455 1997
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