Numerical Methods for Scientists and Engineers

Hamming, Richard W.

ISBN 10: 0486652416 / ISBN 13: 9780486652412

Verlag: Dover Publications, 1987

Beschreibung

Bestandsnummer des Verkäufers 438926-n

Bibliografische Details

• Titel: Numerical Methods for Scientists and Engineers
• Verlag: Dover Publications
• Erscheinungsjahr: 1987
• Sprache: Englisch
• ISBN-10: 0486652416
• ISBN-13: 9780486652412
• Einband: Softcover
• Auflage: 2. Auflage
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den 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