
Introduction to Maple
Andre Heck(Author)
Springer (Publisher)
2nd Edition
Published on 31. July 2012
Book
Paperback/Softback
720 pages
978-1-4684-0486-9 (ISBN)
Article exhausted; check different version
Description
A fully revised, second edition of the best-selling Introduction to Maple, now compatible through Maple V Release 4. It shows not only what can be done by Maple, but also how it can be done. Emphasis is on understanding the Maple system more than on factual knowledge of built-in possibilities, and, to this end, the book contains both elementary and more sophisticated examples and many exercises. Numerous new examples have been added to show how to use Maple as a problem solver, how to assist the system during computations, and how to extend its built-in facilities. Introduction to Maple is not simply a readable manual, but also provides the necessary background for those wanting to extend the built-in knowledge of Maple by implementing new algorithms. Readers should have a background in mathematics higher than beginner level.
More details
Edition
Softcover reprint of the original 2nd ed. 1996
Language
English
Place of publication
New York, NY
United States
Target group
Professional and scholarly
Edition type
Revised edition
Product notice
Paperback (trade)
Illustrations
black & white illustrations
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 36 mm
Weight
992 gr
ISBN-13
978-1-4684-0486-9 (9781468404869)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Andre Heck
Introduction to Maple
Book
01/1995
2nd Edition
Springer
€85.55
Article exhausted; check for reprint
Content
Introduction to Computer Algebra; The First Steps: Calculus on Numbers; Variables and Names; Getting Around with Maple; Polynomials and Rational Functions; Internal Data Representation and Substitution; Manipulation of Polynomials and Rational Expressions; Functions; Differentiation; Integration and Summation; Series, Approximation, and Limits; Composite Data Types; The Assume Facility; Simplification; Graphics; Solving Equations; Differential Equations; Linear Algebra: The linalg Package; Linear Algebra: Applications; References; Index.