Numerical Methods for Scientists and Engineers [NOOK Book]

Overview


Numerical analysis is a subject of extreme interest to mathematicians and computer scientists, who will welcome this first inexpensive paperback edition of a groundbreaking classic text on the subject. In an introductory chapter on numerical methods and their relevance to computing, well-known mathematician Richard Hamming ("the Hamming code," "the Hamming distance," and "Hamming window," etc.), suggests that the purpose of computing is insight, not merely numbers. In that connection he outlines five main ideas...

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Numerical Methods for Scientists and Engineers

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Overview


Numerical analysis is a subject of extreme interest to mathematicians and computer scientists, who will welcome this first inexpensive paperback edition of a groundbreaking classic text on the subject. In an introductory chapter on numerical methods and their relevance to computing, well-known mathematician Richard Hamming ("the Hamming code," "the Hamming distance," and "Hamming window," etc.), suggests that the purpose of computing is insight, not merely numbers. In that connection he outlines five main ideas that aim at producing meaningful numbers that will be read and used, but will also lead to greater understanding of how the choice of a particular formula or algorithm influences not only the computing but our understanding of the results obtained.
The five main ideas involve (1) insuring that in computing there is an intimate connection between the source of the problem and the usability of the answers (2) avoiding isolated formulas and algorithms in favor of a systematic study of alternate ways of doing the problem (3) avoidance of roundoff (4) overcoming the problem of truncation error (5) insuring the stability of a feedback system.
In this second edition, Professor Hamming (Naval Postgraduate School, Monterey, California) extensively rearranged, rewrote and enlarged the material. Moreover, this book is unique in its emphasis on the frequency approach and its use in the solution of problems. Contents include:
I. Fundamentals and Algorithms
II. Polynomial Approximation- Classical Theory
Ill. Fourier Approximation- Modern Theory
IV. Exponential Approximation ... and more
Highly regarded by experts in the field, this is a book with unlimited applications for undergraduate and graduate students of mathematics, science and engineering. Professionals and researchers will find it a valuable reference they will turn to again and again.

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Product Details

  • ISBN-13: 9780486134826
  • Publisher: Dover Publications
  • Publication date: 3/28/2012
  • Series: Dover Books on Mathematics
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 752
  • File size: 35 MB
  • Note: This product may take a few minutes to download.

Table of Contents

Preface
I Fundamentals and Algorithms
1 An Essay on Numerical Methods
2 Numbers
3 Function Evaluation
4 Real Zeros
5 Complex Zeros
*6 Zeros of Polynomials
7 Linear Equations and Matrix Inversion
*8 Random Numbers
9 The Difference Calculus
10 Roundoff
*11 The Summation Calculus
*12 Infinite Series
13 Difference Equations
II Polynomial Approximation-Classical Theory
14 Polynomial Interpolation
15 Formulas Using Function Values
16 Error Terms
17 Formulas Using Derivatives
18 Formulas Using Differences
*19 Formulas Using the Sample Points as Parameters
20 Composite Formulas
21 Indefinite Integrals-Feedback
22 Introduction to Differential Equations
23 A General Theory of Predictor-Corrector Methods
24 Special Methods of Integrating Ordinary Differential Equations
25 Least Squares: Practice Theory
26 Orthogonal Functions
27 Least Squares: Practice
28 Chebyshev Approximation: Theory
29 Chebyshev Approximation: Practice
*30 Rational Function Approximation
III Fournier Approximation-Modern Theory
31 Fourier Series: Periodic Functions
32 Convergence of Fourier Series
33 The Fast Fourier Transform
34 The Fourier Integral: Nonperiodic Functions
35 A Second Look at Polynomial Approximation-Filters
*36 Integrals and Differential Equations
*37 Design of Digital Filters
*38 Quantization of Signals
IV Exponential Approximation
39 Sums of Exponentials
*40 The Laplace Transform
*41 Simulation and the Method of Zeros and Poles
V Miscellaneous
42 Approximations to Singularities
43 Optimization
44 Linear Independence
45 Eigenvalues and Eigenvectors of Hermitian Matrices
N + 1 The Art of Computing for Scientists and Engineers
Index
* Starred sections may be omitted.
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