Elementary Numerical Analysis

An Algorithmic Approach Updated with MATLAB

Häftad, Engelska, 2018

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This book provides a thorough and careful introduction to the theory and practice of scientific computing at an elementary, yet rigorous, level, from theory via examples and algorithms to computer programs. The original FORTRAN programs have been rewritten in MATLAB and now appear in a new appendix and online, offering a modernized version of this classic reference for basic numerical algorithms.

Produktinformation

Utgivningsdatum2018-03-30
Mått152 x 229 x undefined mm
Vikt792 g
FormatHäftad
SpråkEngelska
SerieClassics in Applied Mathematics
Antal sidor456
FörlagSociety for Industrial & Applied Mathematics,U.S.
ISBN9781611975192

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Beräkning och matematisk analys inom Naturvetenskap och teknik

Samuel D. Conte was a Professor of Computer Science and Mathematics at Purdue University. Starting in 1962, he led the Purdue Department of Computer Science for its first 17 years. Prior to that, Professor Conte served as the manager of the Math and Programming Department of the Aerospace Corporation, taught at Wayne State University, and was head of the Mathematics and Programming Departments at TRW Inc.Carl de Boor is presently Professor emeritus of Mathematics and Computer Science at the University of Wisconsin-Madison and Affiliated Professor of Applied Mathematics at the University of Washington. His early work at the Mathematics Department of GM Research at Warren, MI led to his lifelong preoccupation with spline functions. He is the author of A Practical Guide to Splines and co-author of Box Splines. He is the recipient of the 2003 National Medal of Science in Mathematics and Computer Science in recognition of his contributions to scientific computing.

Preface to the Classics EditionPrefaceErrataIntroductionChapter 1: Number Systems and ErrorsChapter 2: Interpolation by PolynomialChapter 3: The Solution of Nonlinear EquationsChapter 4: Matrices and Systems of Linear EquationsChapter 5: Systems of Equations and Unconstrained OptimizationChapter 6: ApproximationChapter 7: Differentiation and IntegrationChapter 8: The Solution of Differential EquationsChapter 9: Boundary Value ProblemsAppendix: Subroutine LibrariesAppendix: New MATLAB ProgramsReferencesIndex