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A Graduate Introduction to Numerical Methods : From the Viewpoint of Backward Error Analysis / by Robert M. Corless, Nicolas Fillion

Edition 1st ed. 2013.
Publisher (New York, NY : Springer New York : Imprint: Springer)
Year 2013
Language English
Size XXXIX, 869 p. 194 illus., 10 illus. in color : online resource
Authors *Corless, Robert M author
Fillion, Nicolas author
SpringerLink (Online service)
Subjects LCSH:Mathematics -- Data processing  All Subject Search
LCSH:Numerical analysis
FREE:Computational Mathematics and Numerical Analysis
FREE:Computational Science and Engineering
FREE:Numerical Analysis
Notes Computer Arithmetic & Fundamental Concepts of Computation -- Polynomials and Series -- Rootfinding and Function Evaluation -- Solving Ax = b -- Solving Ax =l x -- Structured Linear Systems.-Iterative Methods -- Polynomial and Rational Interpolation -- The Discrete Fourier Transform -- Numerical Integration -- Numerical Differentiation and Finite Differences -- Numerical Solution of ODEs -- Numerical Methods for ODEs -- Numerical Solutions of Boundary Value Problems -- Numerical Solution of Delay DEs -- Numerical Solution of PDEs
This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis. The intended audience includes students and researchers in science, engineering and mathematics. The approach taken is somewhat informal owing to the wide variety of backgrounds of the readers, but the central ideas of backward error and sensitivity (conditioning) are systematically emphasized. The book is divided into four parts: Part I provides the background preliminaries including floating-point arithmetic, polynomials and computer evaluation of functions; Part II covers numerical linear algebra; Part III covers interpolation, the FFT and quadrature; and Part IV covers numerical solutions of differential equations including initial-value problems, boundary-value problems, delay differential equations and a brief chapter on partial differential equations. The book contains detailed illustrations, chapter summaries and a variety of exercises aswell as some Matlab codes provided online as supplementary material. “I really like the focus on backward error analysis and condition. This is novel in a textbook and a practical approach that will bring welcome attention." Lawrence F. Shampine
HTTP:URL=https://doi.org/10.1007/978-1-4614-8453-0
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Springer eBooks 9781461484530
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EB00237973

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Material Type E-Book
Classification LCC:QA71-90
DC23:518
ID 4000117397
ISBN 9781461484530

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