Introduction to Applied Numerical Analysis (McGraw-Hill Computer Science Series)

Hamming, Richard W.

ISBN 10: 0070258899 / ISBN 13: 9780070258891

Published by McGraw-Hill, 1971

About this Item

Hardcover; light fading, light shelf wear to exterior; former owner's name written inside front board; otherwise in very good condition with clean text, firm binding. Dust jacket, fading and edge wear, a few small tears.

Seller Inventory # 71678

Bibliographic Details

• Title: Introduction to Applied Numerical Analysis (McGraw-Hill Computer Science Series)
• Publisher: McGraw-Hill
• Publication Date: 1971
• Language: English
• ISBN 10: 0070258899
• ISBN 13: 9780070258891
• Binding: Hardcover
• Condition: UsedVeryGood
• Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

Reprint. Originally published in 1971 by McGraw-Hill. Textbook for advanced undergraduate and graduate engineers. No bibliography. Annotation copyright Book News, Inc. Portland, Or.

About the Author

Richard W. Hamming (1915–98) was an American mathematician whose work had broad implications for computer science and telecommunications. In addition to his work on the Manhattan Project, he taught at New York's City College and the Naval Postgraduate School in Monterey, California.
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