04163nam 22006495 450 991073941420332120200629210304.01-4614-8453-710.1007/978-1-4614-8453-0(CKB)3710000000078710(SSID)ssj0001090867(PQKBManifestationID)11686825(PQKBTitleCode)TC0001090867(PQKBWorkID)11021087(PQKB)11612342(DE-He213)978-1-4614-8453-0(MiAaPQ)EBC6311933(MiAaPQ)EBC1591826(Au-PeEL)EBL1591826(CaPaEBR)ebr10968979(OCoLC)869010295(PPN)176098836(EXLCZ)99371000000007871020131206d2013 u| 0engurnn|008mamaatxtccrA Graduate Introduction to Numerical Methods From the Viewpoint of Backward Error Analysis /by Robert M. Corless, Nicolas Fillion1st ed. 2013.New York, NY :Springer New York :Imprint: Springer,2013.1 online resource (XXXIX, 869 p. 194 illus., 10 illus. in color.) Bibliographic Level Mode of Issuance: Monograph1-4614-8452-9 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 as well 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.Computer mathematicsNumerical analysisComputational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XComputational Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/M14026Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M14050Computer mathematics.Numerical analysis.Computational Mathematics and Numerical Analysis.Computational Science and Engineering.Numerical Analysis.004.0151Corless Robert Mauthttp://id.loc.gov/vocabulary/relators/aut116752Fillion Nicolasauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910739414203321A Graduate Introduction to Numerical Methods3552877UNINA