Algorithms For Computer Algebra

GEDDES, Keith O.; CZAPOR, Stephen R.; LABAHN, George

ISBN 10: 0792392590 / ISBN 13: 9780792392590

Edité par Kluwer Academic Publishers, Boston, 1992

A propos de cet article

xvii, [5], 2-585 p. 24 cm. Blue hardcover. Ex library with labels on spine and rear pastedown, ink stamps on top edge and title.

N° de réf. du vendeur 148967

Détails bibliographiques

• Titre: Algorithms For Computer Algebra
• Éditeur: Kluwer Academic Publishers, Boston
• Date de parution: 1992
• ISBN à 10 chiffres: 0792392590
• ISBN à 13 chiffres: 9780792392590
• Reliure: Hardcover
• État de l'article: ex library-very good
• Catalogues du vendeur:
  • Science

A propos de ce titre

Synopsis

Algorithms for Computer Algebra is the first comprehensive textbook to be published on the topic of computational symbolic mathematics. The book first develops the foundational material from modern algebra that is required for subsequent topics. It then presents a thorough development of modern computational algorithms for such problems as multivariate polynomial arithmetic and greatest common divisor calculations, factorization of multivariate polynomials, symbolic solution of linear and polynomial systems of equations, and analytic integration of elementary functions. Numerous examples are integrated into the text as an aid to understanding the mathematical development. The algorithms developed for each topic are presented in a Pascal-like computer language. An extensive set of exercises is presented at the end of each chapter.
Algorithms for Computer Algebra is suitable for use as a textbook for a course on algebraic algorithms at the third-year, fourth-year, or graduate level. Although the mathematical development uses concepts from modern algebra, the book is self-contained in the sense that a one-term undergraduate course introducing students to rings and fields is the only prerequisite assumed. The book also serves well as a supplementary textbook for a traditional modern algebra course, by presenting concrete applications to motivate the understanding of the theory of rings and fields.