Numerical Analysis for Engineers and Scientists

Numerical Analysis for Engineers and Scientists
Author: G. Miller
Publisher: Cambridge University Press
Total Pages: 583
Release: 2014-05-29
Genre: Mathematics
ISBN: 1107021081

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A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.


Numerical Analysis for Engineers and Scientists
Language: en
Pages: 583
Authors: G. Miller
Categories: Mathematics
Type: BOOK - Published: 2014-05-29 - Publisher: Cambridge University Press

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A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration prog
Numerical Methods for Engineers and Scientists
Language: en
Pages: 840
Authors: Joe D. Hoffman
Categories: Mathematics
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

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Emphasizing the finite difference approach for solving differential equations, the second edition of Numerical Methods for Engineers and Scientists presents a m
Numerical Methods for Scientists and Engineers
Language: en
Pages: 754
Authors: Richard Hamming
Categories: Mathematics
Type: BOOK - Published: 2012-04-25 - Publisher: Courier Corporation

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This inexpensive paperback edition of a groundbreaking text stresses frequency approach in coverage of algorithms, polynomial approximation, Fourier approximati
Numerical Methods for Engineers and Scientists
Language: en
Pages: 354
Authors: J. N. Sharma
Categories: Mathematics
Type: BOOK - Published: 2004 - Publisher: Alpha Science Int'l Ltd.

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The desire for numerical answers to applied problems has increased manifold with the advances made in various branches of science and engineering and rapid deve
Fundamentals of Engineering Numerical Analysis
Language: en
Pages: 257
Authors: Parviz Moin
Categories: Technology & Engineering
Type: BOOK - Published: 2010-08-23 - Publisher: Cambridge University Press

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Since the original publication of this book, available computer power has increased greatly. Today, scientific computing is playing an ever more prominent role