Numerical Methods for Scientists and Engineers - Richard Hamming

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Résumé :
This inexpensive paperback edition of a groundbreaking text stresses frequency approach in coverage of algorithms, polynomial approximation, Fourier approximation, exponential approximation, and other topics. Revised and enlarged 2nd edition.

Biographie:
Richard W. Hamming: The Computer Icon Richard W. Hamming (1915-1998) was first a programmer of one of the earliest digital computers while assigned to the Manhattan Project in 1945, then for many years he worked at Bell Labs, and later at the Naval Postgraduate School in Monterey, California. He was a witty and iconoclastic mathematician and computer scientist whose work and influence still reverberates through the areas he was interested in and passionate about. Three of his long-lived books have been reprinted by Dover: Numerical Methods for Scientists and Engineers, 1987; Digital Filters, 1997; and Methods of Mathematics Applied to Calculus, Probability and Statistics, 2004. In the Author's Own Words: The purpose of computing is insight, not numbers. There are wavelengths that people cannot see, there are sounds that people cannot hear, and maybe computers have thoughts that people cannot think. Whereas Newton could say, 'If I have seen a little farther than others, it is because I have stood on the shoulders of giants, I am forced to say, 'Today we stand on each other's feet.' Perhaps the central problem we face in all of computer science is how we are to get to the situation where we build on top of the work of others rather than redoing so much of it in a trivially different way. If you don't work on important problems, it's not likely that you'll do important work. — Richard W. Hamming

Sommaire:
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.