Numerical Polynomial Algebra

Häftad, Engelska, 2004

1 989 kr

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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 numerical polynomial algebra, an emerging area that falls between classical numerical analysis and classical computer algebra and which has received surprisingly 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.

Produktinformation

Utgivningsdatum2004-05-31
Mått152 x 229 x 23 mm
Vikt870 g
FormatHäftad
SpråkEngelska
Antal sidor487
FörlagSociety for Industrial & Applied Mathematics,U.S.
ISBN9780898715576

Tillhör följande kategorier

Algebra inom Naturvetenskap och teknik

PrefacePart I: Polynomials and Numerical AnalysisChapter 1: PolynomialsChapter 2: Representations of Polynomial IdealsChapter 3: Polynomials with Coefficients of Limited AccuracyChapter 4: Approximate Numerical ComputationPart II: Univariate Polynomial ProblemsChapter 5: Univariate PolynomialsChapter 6: Various Tasks with Empirical Univariate PolynomialsPart III: Multivariate Polynomial ProblemsChapter 7: One Multivariate PolynomialChapter 8: Zero-Dimensional Systems of Multivariate PolynomialsChapter 9: Systems of Empirical Multivariate PolynomialsChapter 10: Numerical Basis ComputationPart IV: Positive-Dimensional Polynomial SystemsChapter 11: Matrix Eigenproblems for Positive-Dimensional SystemsIndex

'This first book on the numerical analysis of polynomial systems is a stepping stone at the interface of symbolic computation and numerical computation.' Bernard Sturmfels, University of Berkeley 'I am not familiar with any books that do such a careful job of combining numerical analysis with the algebra of polynomial equations. Dr Stetter's book is unique in this regard.' David Cox, Amherst College