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Scientific Computing and Differential Equations: An Introduction to Numerical Methods

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by Gene H. Golub & James M. Ortega
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Scientific Computing and Differential Equations: An Introduction to Numerical Methods by Gene H. Golub & James M. Ortega

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

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Ebook Details
Pages: 344
Size: 18.2 MB
Publisher: Academic Press
Date published:   2014
ISBN: 9780080516691 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Mathematics > Mathematical Analysis
Nonfiction > Mathematics > Calculus

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Nonfiction > Mathematics > Matrices
Nonfiction > Reference > Questions & Answers
Nonfiction > Mathematics
Nonfiction > Computers > Computer Science
Nonfiction > Computers > Data Processing
Nonfiction > Computers > Computer Literacy
Nonfiction > Mathematics > Mathematical Analysis
Nonfiction > Mathematics > Calculus

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