More Details for: Numerical polynomial algebra

 Staff view

You must be logged in to Tag Records

Numerical polynomial algebra [electronic resource] /

Hans J. Stetter.

Book Cover
Main Author: Stetter, Hans J.
Published: Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2004.
Topics: Polynomials. | Numerical analysis.
Tags: Add

Spaces will separate tags.
Use quotes for multi-word tags.

Main Author: Stetter, Hans J., 1930-
Physical Description: 1 electronic text (xv, 472 p. : ill.) : digital file.
Includes: Includes bibliographical references and index.
ISBN: 9780898717976 (electronic bk.)

System Details: Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Abstract: In many important areas of scientific computing, polynomials in one or more variables are employed in the mathematical modeling of real-life phenomena; yet most of classical computer algebra assumes exact rational data. This book is the first comprehensive treatment of the emerging area of numerical polynomial algebra, an area that falls between classical numerical analysis and classical computer algebra but, surprisingly, has received little attention so far. The author introduces a conceptual framework that permits the meaningful solution of various algebraic problems with multivariate polynomial equations whose coefficients have some indeterminacy; for this purpose, he combines approaches of both numerical linear algebra and commutative algebra. For the application scientist, Numerical Polynomial Algebra provides both a survey of polynomial problems in scientific computing that may be solved numerically and a guide to their numerical treatment. In addition, the book provides both introductory sections and novel extensions of numerical analysis and computer algebra, making it accessible to the reader with expertise in either one of these areas.
Restrictions: Restricted to subscribers or individual electronic text purchasers.
Other Names: Society for Industrial and Applied Mathematics.

More Details for: Numerical polynomial algebra