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Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
Amazon.com's Price: $135.00 Prices subject to change.
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Binding: Hardcover
Dewey Decimal Number: 512.0285
EAN: 9780195125160
ISBN: 0195125169
Label: Oxford University Press, USA
Manufacturer: Oxford University Press, USA
Number Of Items: 1
Number Of Pages: 528
Publication Date: December 30, 1999
Publisher: Oxford University Press, USA
Studio: Oxford University Press, USA
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Product Description:
Computer Algebra systems represents a rapidly growing application of computer science to all areas of scientific research and computation. Well-known computer algebra systems such as Maple, Macsyma, Mathematica and REDUCE are now a basic tool on most computers. Underlying these systems are efficient algorithms for various algebraic operations. The field of Computer Algebra, or Algorithmic Algebra, constitute the study of these algorithms and their properties, and represents a rich intersection of theoretical computer science with very classical mathematics. Yap's book focuses on a collection of core problems in this area; in effect, they are the computational versions of the classical Fundamental Problem of Algebra and its derivatives. It attempts to be self-contained in its mathematical development while addressing the algorithmic aspects of problems. General prerequesites for the book, beyond some mathematical sophistication, is a course in modern algebra. A course in the analysis of algorithms would also increase the appreciation of some of the themes on efficiency. The book is intended for a first course in algorithmic algebra (or computer algebra) for advanced undergraduates or beginning graduate students in computer science. Additionally, it will be a useful reference for professionals in this field.
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There was once a time when computer algebra seems amazingly exotic. Sure, computers could crunch raw numbers. But no surprises there. It was quite another event to see a computer factor a simple algebraic expression, or perform symbolic integration. Wow!
But now, computer algebra is available on such widespread packages as Mathematica and Maple. This book studies the subject, as a coherent entity. (Wish it had been available in 1982!) For those of you who might be interested in developing ever more sophisticated techniques in this field. It explains the ideas clearly. It shows that you can understand it systematically. And not as an ad hoc, grab bag of unrelated but nifty tricks. Brings together in one volume ideas that are scattered throughout many scientific papers over decades.
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