Algorithms for Computer Algebra

• Κύριοι συγγραφείς: Geddes, K. O. (Συγγραφέας), Czapor, S. R. (Συγγραφέας), Labahn, G. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 1992.
• Θέματα: Mathematics.; Computer science.; Numerical analysis.; Computer science > Mathematics.; Image processing.; Algebra.; Computer software.; Mathematical Software.; Image Processing and Computer Vision.; Symbolic and Algebraic Manipulation.; Numeric Computing.; Computer Science, general.

 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. 

 to Computer Algebra -- Algebra of Polynomials, Rational Functions, and Power Series -- Normal Forms and Algebraic Representations -- Arithmetic of Polynomials, Rational Functions, and Power Series -- Homomorphisms and Chinese Remainder Algorithms -- Newton’s Iteration and the Hensel Construction -- Polynomial GCD Computation -- Polynomial Factorization -- Solving Systems of Equations -- Gröbner Bases for Polynomial Ideals -- Integration of Rational Functions -- The Risch Integration Algorithm.