1982
DOI: 10.1145/1089310.1089312
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Computer algebra symbolic and algebraic computation

Abstract: Computer algebra is an alternative and complement to numerical mathematics. Its importance is steadily increasing. This volume is the first systematic and complete treatment of computer algebra. It presents the basic problems of computer algebra and the best algorithms now known for their solution with their mathematical foundations, and complete references to the original literature. The volume follows a top-down structure proceeding from very high-level problems which will be well-motivated for most readers … Show more

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Cited by 108 publications
(91 citation statements)
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“…They provide an algorithmic solution for solving several problems related to polynomial systems (some of them can be found in [1]). The historical method for computing Gröbner bases is Buchberger's algorithm [8,7]. Recently, more efficient algorithms have been proposed.…”
Section: Definition 2 For Any N-uplementioning
confidence: 99%
See 1 more Smart Citation
“…They provide an algorithmic solution for solving several problems related to polynomial systems (some of them can be found in [1]). The historical method for computing Gröbner bases is Buchberger's algorithm [8,7]. Recently, more efficient algorithms have been proposed.…”
Section: Definition 2 For Any N-uplementioning
confidence: 99%
“…The historical method for computing Gröbner bases is Buchberger's algorithm [8,7]. Recently, more efficient algorithms have been proposed.…”
Section: Appendix Amentioning
confidence: 99%
“…A wellestablished approach to solve PoSSo is to compute a Gröbner basis [7,11,12]. The cost of solving a (zero-dimensional, i.e., finite number of solutions) system of m non-linear equations in n variables with the F 5 algorithm [4,16] is O n+Dreg Dreg ω , where D reg is the maximum degree reached during the Gröbner basis computation, and ω is the matrix multiplication exponent (or the linear-algebra constant) as defined in [47,Chapter 12].…”
Section: Theorem 2 ([25]mentioning
confidence: 99%
“…In order to apply RifSimp to equations (1,2) with M and F given by (3) -(4), we first convert the trigonometric functions to polynomials using the Weierstrass transformation, which is cos η = (1− u(t) 2 )/(1 + u(t) 2 ), sin η = 2u(t)/(1 + u(t) 2 ). This yields a rational polynomial differential system.…”
Section: Application To Spinning Topmentioning
confidence: 99%