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Scientific Computing and Differential Equations: An Introduction to Numerical...

by Golub, Gene H.; Ortega, James M. | HC | LikeNew
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Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, ... Read moreAbout condition
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Item specifics

Condition
Like New
A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, ...
Binding
Hardcover
Book Title
Scientific Computing and Differential Equations
Weight
1 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780122892554
Category

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0122892550
ISBN-13
9780122892554
eBay Product ID (ePID)
51540

Product Key Features

Number of Pages
344 Pages
Publication Name
Scientific Computing and Differential Equations : an Introduction to Numerical Methods
Language
English
Subject
Differential Equations / Ordinary, Differential Equations / General, Numerical Analysis, Applied
Publication Year
1991
Type
Textbook
Author
Gene H. Golub, James M. Ortega
Subject Area
Mathematics
Format
Hardcover

Dimensions

Item Height
0.3 in
Item Weight
22.8 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
91-020106
Dewey Edition
20
Illustrated
Yes
Dewey Decimal
515/.35
Table Of Content
The World of Scientific Computing. Letting It Fly. Initial Value Problems. Pinning It Down: Boundary Value Problems. More on Linear Systems of Equations. Life Is Really Nonlinear. Is There More Than Finite Differences? N Important Numbers. Space and Time. The Curse of Dimensionality. Appendixes: Analysis of Differential Equations. Linear Algebra. Bibliography. Index.
Synopsis
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., 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
LC Classification Number
QA371.G62 1992

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