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Computing polynomial resultants: Bezout's determinant vs. Collins' reduced P.R.S. algorithm
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Communications of the ACM archive
Volume 12 ,  Issue 1  (January 1969) table of contents
Pages: 23 - 30  
Year of Publication: 1969
ISSN:0001-0782
Authors
S. Y. Ku  Case Western Reserve Univ., Cleveland, OH
R. J. Adler  Case Western Reserve Univ., Cleveland, OH
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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