Scientific Computing and Differential Equations: An Introduction to Numerical Methods
ISBN-13:
9781493300518
ISBN-10:
1493300512
Edition:
1
Author:
Gene H. Golub, James M. Ortega
Publication date:
1991
Publisher:
Academic Press
Format:
Paperback
344 pages
FREE US shipping
Book details
ISBN-13:
9781493300518
ISBN-10:
1493300512
Edition:
1
Author:
Gene H. Golub, James M. Ortega
Publication date:
1991
Publisher:
Academic Press
Format:
Paperback
344 pages
Summary
Scientific Computing and Differential Equations: An Introduction to Numerical Methods (ISBN-13: 9781493300518 and ISBN-10: 1493300512), written by authors
Gene H. Golub, James M. Ortega, was published by Academic Press in 1991.
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Description
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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