MOMENTAN AUSVERKAUFT

Numerical Methods in Scientific Computing : Volume 1 by Germund Dahlquist and Åke Björck (2008, Hardcover)

Über dieses Produkt

Product Identifiers

PublisherSociety for Industrial AND Applied Mathematics
ISBN-100898716446
ISBN-139780898716443
eBay Product ID (ePID)102868466

Product Key Features

Number of Pages744 Pages
LanguageEnglish
Publication NameNumerical Methods in Scientific Computing : Volume 1
Publication Year2008
SubjectNumerical Analysis, Mathematical Analysis
TypeTextbook
Subject AreaMathematics
AuthorGermund Dahlquist, Åke Björck
FormatHardcover

Dimensions

Item Height1.7 in
Item Weight51.4 Oz
Item Length10.2 in
Item Width7.3 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN2007-061806
Dewey Edition22
Reviews'This work is a monumental undertaking and represents the most comprehensive textbook survey of numerical analysis to date. It will be an important reference in the field for many years to come.' Nicholas J. Higham, University of Manchester
Volume NumberVol. 1
Dewey Decimal518
Table Of ContentList of Figures List of Tables List of Conventions Preface Chapter 1: Principles of Numerical Calculations Chapter 2: How to Obtain and Estimate Accuracy Chapter 3: Series, Operators, and Continued Fractions Chapter 4: Interpolation and Approximation Chapter 5: Numerical Integration Chapter 6: Solving Scalar Nonlinear Equations Bibliography Index Online Appendix A: Introduction to Matrix Computations Online Appendix B: A MATLAB Multiple Precision Package Online Appendix C: Guide to Literature.
SynopsisAddresses the increasingly-important role of numerical methods in science and engineering. While treating traditional and well-developed topics, it also emphasizes concepts and ideas of importance to the design of accurate and efficient algorithms with applications to scientific computing., Addresses the increasingly-important role of numerical methods in science and engineering. While treating traditional and well-developed topics, it also emphasizes concepts and ideas of importance to the design of accurate and efficient algorithms with applications to scientific computing. Although this volume is self-contained, more comprehensive treatments of matrix computations will be given in a forthcoming volume. Numerical Methods in Scientific Computing, Volume I enriches the traditional content of interpolation, approximation, Fourier analysis, quadrature, and root-finding with other material that is rarely found in numerical analysis texts, such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions. The authors also include review questions, problems, and computer exercises drawn from 40 years of teaching. More than 60 short biographical notes on mathematicians who have made significant contributions to numerical analysis illustrate the connections that pervade the discipline. A supplementary Website contains three appendices: an introduction to matrix computations; a description of Mulprec, a MATLAB® multiple precision package; and a guide to literature, algorithms, and software in numerical analysis., This new book from the authors of the classic book Numerical Methods addresses the increasingly important role of numerical methods in science and engineering. More cohesive and comprehensive than any other modern textbook in the field, it combines traditional and well-developed topics with other material that is rarely found in numerical analysis texts, such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions. Although this volume is self-contained, more comprehensive treatments of matrix computations will be given in a forthcoming volume. A supplementary Website contains three appendices: an introduction to matrix computations; a description of Mulprec, a MATLAB(R) multiple precision package; and a guide to literature, algorithms, and software in numerical analysis. Review questions, problems, and computer exercises are also included. For use in an introductory graduate course in numerical analysis and for researchers who use numerical methods in science and engineering.
LC Classification NumberQA297.D335 2008