1971Journal of the ACMOpen access

On Euclid's Algorithm and the Computation of Polynomial Greatest Common Divisors

Warren S. Brown

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Abstract

This paper examines the computation of polynomial greatest common divisors by various generalizations of Euclid's algorithm.The phenomenon of coefficient growth is described, and the history of successful efforts first to control it and then to eliminate it is related.The recently developed modular algorithm is presented in careful detail, with special attention to the case of multivariate polynomials.The computing times for the classical algorithm and for the modular algorithm are analyzed, and it is shown that the modular algorithm is markedly superior.In fact, in the multivariate ease, the maximum computing time for the modular algorithm is strictly dominated by the maximum computing time for the first pseudo-division in the classical algorithm.

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What this paper is about

This paper examines the computation of polynomial greatest common divisors by various generalizations of Euclid's algorithm.The phenomenon of coefficient growth is described, and the history of successful efforts first to control it and then to eliminate it is related.The recently developed modular algorithm is presented in careful detail, with special attention to the case of multivariate polynomials.The computing times for the classical algorithm and for the modular algorithm are analyzed, and it is shown that the modular algorithm is markedly superior.In fact, in the multivariate ease, the maximum computing time for the modular algorithm is strictly dominated by the maximum computing time for the first pseudo-division in the classical algorithm.

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Available abstract

This paper examines the computation of polynomial greatest common divisors by various generalizations of Euclid's algorithm.The phenomenon of coefficient growth is described, and the history of successful efforts first to control it and then to eliminate it is related.The recently developed modular algorithm is presented in careful detail, with special attention to the case of multivariate polynomials.The computing times for the classical algorithm and for the modular algorithm are analyzed, and it is shown that the modular algorithm is markedly superior.In fact, in the multivariate ease, the maximum computing time for the modular algorithm is strictly dominated by the maximum computing time for the first pseudo-division in the classical algorithm.

Key concepts: Citation, Computation, Algorithm, Computer science, Polynomial, Mathematics, Discrete mathematics, Library science

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