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Hamming Numerical Methods for Scientists and Engineers

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ApproximatelyEUR 9.33
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Condition:
Good
“See photos.”
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eBay item number:264637339622
Last updated on 16 Aug, 2023 11:49:10 BSTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“See photos.”
Subject
Engineering, Methods
Field of Study
Computer & IT
ISBN
9780486652412
EAN
9780486652412

About this product

Product Identifiers

Publisher
Dover Publications, Incorporated
ISBN-10
0486652416
ISBN-13
9780486652412
eBay Product ID (ePID)
1026739

Product Key Features

Number of Pages
752 Pages
Publication Name
Numerical Methods for Scientists and Engineers
Language
English
Subject
Engineering (General), Probability & Statistics / General, Mathematical Analysis
Publication Year
1987
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Author
Richard W. Hamming
Series
Dover Books on Mathematics Ser.
Format
Trade Paperback

Dimensions

Item Height
1.4 in
Item Weight
30.9 Oz
Item Length
8.5 in
Item Width
5.4 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
86-016226
Dewey Edition
19
Illustrated
Yes
Dewey Decimal
519.4
Edition Description
Reprint,New Edition
Table Of Content
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.
Synopsis
This inexpensive paperback edition of a groundbreaking text stresses frequency approach in coverage of algorithms, polynomial approximation, Fourier approximation, exponential approximation, other topics. Revised and enlarged 2nd edition.  , 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., 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., For this inexpensive paperback edition of a groundbreaking classic, the author has extensively rearranged, rewritten, and enlarged the material. Book is unique in its emphasis on the frequency approach and its use in the solution of problems. Contents include: Fundamentals and Algorithms; Polynomial Approximation -- Classical Theory; Fourier Approximation -- Modern Theory; and Exponential Approximation.
LC Classification Number
QA297.H28

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