Formateinband: Broschierte Ausgabe IX, 721 S. 2nd Edition; Kleine Namensstempel am Schnitt; Besitzvermerk im Deckel; sonst gut und sauber erhalten! Sprache: Englisch Gewicht in Gramm: 850 [Stichw�rter: Numerische Methioden, Fundamentals and algorithms, Polynomial approximation - Classical theory; Fourir Approximation - Modern theory; Exponential Approximation].

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Detalles bibliogr�ficos

T�tulo

Numerical Methods for Scientists and Engineers. Second Edition

Editor

New York, Dover (Dover Books on Engineering)

Fecha de publicaci�n

1987

Idioma

Ingl�s

ISBN 10

0486652416

ISBN 13

9780486652412

Encuadernaci�n

Encuadernaci�n de tapa blanda

Edici�n

2� Edici�n

Estado

Gut

Cat�logos de vendedores

Physik

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Sinopsis

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.

Acerca del autor

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

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Antiquariat Smock
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