Methods of Mathematics Applied to Calculus, Probability, and Statistics

Richard Hamming

ISBN 10: 0486439453 ISBN 13: 9780486439457

Editorial: Dover Publications Inc., 2005

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Methods of Mathematics Applied to Calculus, Probability, and Statistics

Editor

Dover Publications Inc.

Fecha de publicaci�n

2005

Idioma

Ingl�s

ISBN 10

0486439453

ISBN 13

9780486439457

Encuadernaci�n

Taschenbuch

Estado

Neu

Dimensiones

Peso

1175 gramos

Cat�logos de vendedores

B�cher

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Sinopsis

This text focuses on the most widely used applications of mathematical methods, including those related to probability and statistics. The 4-part treatment begins with algebra and analytic geometry and proceeds to an exploration of the calculus of algebraic functions and transcendental functions and applications. 1985 edition. Includes 310 figures and 18 tables.

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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