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Numerical Computing with MATLAB

Numerical Computing with MATLAB

Numerical Computing with MATLAB

2nd Edition
Cleve B. Moler, The MathWorks
August 2010
Paperback
9780898716603
$60.99
USD
Paperback

    This is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing, which emphasises the informed use of mathematical software. Numerical Computing with MATLAB helps readers learn about the mathematical functions in MATLAB, how to appreciate their limitations, and how to use and modify them appropriately. The book makes extensive use of computer graphics, and provides more than 70 M-files, which can be downloaded from the text website www.mathworks.com/moler. Many of the numerous exercises involve modifying and extending these programs. The theory can be adapted to apply to modern problems from cryptography, touch-tone dialing, Google page-ranking, atmospheric science and image processing, as well as classical problems from physics and engineering. This book will appeal to advanced undergraduate and beginning graduate students in science and engineering. This revision includes changes and corrections made since the book was originally published in 2004.

    • Designed for a one-quarter or one-semester course primarily for students in science and engineering, at the advanced undergraduate or beginning graduate level
    • It provides more than 70 M-files, which can be downloaded from the text website www.mathworks.com/moler
    • This revised text includes changes and corrections to the original edition

    Product details

    August 2010
    Paperback
    9780898716603
    370 pages
    255 × 177 × 17 mm
    0.62kg
    95 b/w illus. 221 exercises
    This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.

    Table of Contents

    • Preface
    • 1. Introduction to MATLAB
    • 2. Linear equations
    • 3. Interpolation
    • 4. Zeros and roots
    • 5. Least squares
    • 6. Quadrature
    • 7. Ordinary differential equations
    • 8. Fourier analysis
    • 9. Random numbers
    • 10. Eigenvalues and singular values
    • 11. Partial differential equations
    • Bibliography
    • Index.
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