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$191.95

Textbook Details

  • EDITION:
    3rd Edition
  • ISBN:
    0534389058
  • ISBN-13:
    9780534389055
  • PUB. DATE:
    October 2001
  • PUBLISHER:
    Cengage Learning

Numerical Analysis: Mathematics of Scientific Computing / Edition 3 by David R. Kincaid, E. Ward Cheney, E. Ward Cheney, Ward Cheney

$191.95 List Price

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Numerical Analysis: Mathematics of Scientific Computingby Anonymous

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Very good text for someone with some analysis background. The book has lots of excellent problems. By the time I had gone through most of the hw of a section, I felt I thoroughly understood the concepts.

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Numerical Analysis

Product Details

  • Pub. Date: October 2001
  • Publisher: Cengage Learning

Synopsis

This highly successful and scholarly book introduces readers with diverse backgrounds to the various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with careful proofs and scientific background. An in-depth treatment of the topics of numerical analysis, a more scholarly approach, and a different menu of topics sets this book apart from the authors' well-respected and best-selling text: NUMERICAL MATHEMATICS AND COMPUTING, FOURTH EDITION.

Booknews

Introduces students with diverse mathematical backgrounds to the various types of numerical analysis needed in scientific computing. Coverage includes solution of nonlinear equations, approximating functions, and numerical differentiation and integration, plus nontraditional topics such as multivariable interpolation and homotopy methods. Contains worked examples, theorems, proofs, and analytic and computer problems. For upper division and graduate students in mathematics, engineering, science, and computer science Annotation c. Book News, Inc., Portland, OR (booknews.com)

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Biography

Ward Cheney is Professor of Mathematics at the University of Texas at Austin. His research interests include approximation theory, numerical analysis, and extremum problems.