COMPUTING POLYNOMIAL RESULTANTS - BEZOUTS DETERMINANT VS COLLINS REDUCED PRS ALGORITHM

被引:20
作者
KU, SY
ADLER, RJ
机构
[1] Case Western Reserve Univ., Cleveland, OH
关键词
Bezout's determinant; elimination; Euclidean algorithm; g.c.d algorithm; multivariate polynomial equations; polynomial resultant; reduced p.r.s algorithm; resultant algorithm; Sylvester's determinant;
D O I
10.1145/362835.362839
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Algorithms for computing the resultant of two polynomials in several variables, a key repetitive step of computation in solving systems of polynomial equations by elimination, are studied. Determining the best algorithm for computer implementation depends upon the extent to which extraneous factors are introduced, the extent of propagation of errors caused by truncation of real coeffcients, memory requirements, and computing speed. Preliminary considerations narrow the choice of the best algorithm to Bezout's determinant and Collins' reduced polynomial remainder sequence (p.r.s.) algorithm. Detailed tests performed on sample problems conclusively show that Bezout's determinant is superior in all respects except for univariate polynomials, in which case Collins' reduced p.r.s. algorithm is somewhat faster. In particular Bezout's determinant proves to be strikingly superior in numerical accuracy, displaying excellent stability with regard to round-off errors. Results of tests are reported in detail. © 1969, ACM. All rights reserved.
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页码:23 / &
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