Scientific Computing and Differential Equations - An Introduction to Numerical Methods (Hardcover, 2nd Ed)

Scientific Computing and Differential Equations: An Introduction to Numerical Methods, is an excellent complement to Introduction to Numerical Methods by Ortega and Poole. The book emphasizes the importance of solving differential equations on a computer, which comprises a large part of what has come to be called scientific computing. It reviews modern scientific computing, outlines its applications, and places the subject in a larger context.
This book is appropriate for upper undergraduate courses in mathematics, electrical engineering, and computer science; it is also well-suited to serve as a textbook for numerical differential equations courses at the graduate level.

* An introductory chapter gives an overview of scientific computing, indicating its important role in solving differential equations, and placing the subject in the larger environment
* Contains an introduction to numerical methods for both ordinary and partial differential equations
* Concentrates on ordinary differential equations, especially boundary-value problems
* Contains most of the main topics for a first course in numerical methods, and can serve as a text for this course
* Uses material for junior/senior level undergraduate courses in math and computer science plus material for numerical differential equations courses for engineering/science students at the graduate level

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	October 1991
First published:	September 1991
Authors:	Gene H. Golub • James M. Ortega
Dimensions:	229 x 152 x 22mm (L x W x T)
Format:	Hardcover
Pages:	344
Edition:	2nd Ed
ISBN-13:	978-0-12-289255-4
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Academic & Education > Professional & Technical > Mathematics
LSN:	0-12-289255-0
Barcode:	9780122892554

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