ACM Home Page
Please provide us with feedback. Feedback
The calculation of multivariate polynomial resultants
Full text PdfPdf (954 KB)
Source Symposium on Symbolic and Algebraic Manipulation archive
Proceedings of the second ACM symposium on Symbolic and algebraic manipulation table of contents
Los Angeles, California, United States
Pages: 212 - 222  
Year of Publication: 1971
Author
Sponsors
SIGNUM: ACM Special Interest Group on Numerical Mathematics
SIGART: ACM Special Interest Group on Artificial Intelligence
SIAM : Society for Industrial and Applied Mathematics
SIGPLAN: ACM Special Interest Group on Programming Languages
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 38,   Citation Count: 6
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/800204.806289
What is a DOI?

ABSTRACT

An efficient algorithm is presented for the exact calculation of resultants of multivariate polynomials with integer coefficients. The algorithm applies modular homomorphisms and the Chinese remainder theorem, evaluation homomorphisms and interpolation, in reducing the problem to resultant calculation for univariate polynomials over GF(p), whereupon a polynomial remainder sequence algorithm is used. The computing time of the algorithm is analyzed theoretically as a function of the degrees and coefficient sizes of its inputs . As a very special case , it is shown that when all degrees are equal and the coefficient size is fixed, its computing time is approximately proportional to &lgr;2r+l , where &lgr; is the common degree and r is the number of variables . Empirically observed computing times of the algorithm are tabulated for a large number of examples, and other algorithms are compared. Potential application of the algorithm to the solution of systems of polynomial equations is briefly discussed.


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.

1
 
2
Bodewig, E., Matrix Calculus, North Holla Holland Publ. Co., 1959.
 
3
Brown, W. S ., The Compleat Euclidean Algorithm, Bell Telephone Laboratories Report, June 1968, 68 pages.
 
4
Butcher, J. C ., On Runge-Kutta Processes of High Order, J. Australian Math. Soc., Vol. 4 (1964), pp. 179-194.
 
5
Ceschino, F ., and J. Kuntzmann, Numerical Solution of Initial Value Problems, pp. 72-74, Prentice-Hall, 1966.
6
7
 
8
Collins, George E ., The SAC-1 Polynomial System, Univ. of Wisconsin Computing Center Technical Report No. 2, March 1968, 68 pages.
 
9
Collins, George E., L. E. Heindel, E. Horowitz, M. T. McClellan, and D. R. Musser, The SAC-1 Modular Arithmetic System, Univ. of Wisconsin Technical Report No. 10, June 1969, 50 pages.
10
 
11
Collins , George E., The SAC-1 Polynomial G.C.D. and Resultant System. In preparation.
12
13
 
14
Jacobson, Nathan, Lectures in Abstract Algebra, Vol. III (Theory of Fields and Galois Theory), Van Nostrand, 1964.
 
15
 
16
 
17
Ku, S. Y., and R. J. Adler, Algebra-Based Methods for Solving Multivariate Polynomial Equations, Chemical Engineering Science Division Report No. 10-22-68, Case Western Reserve Univ ., 162 pages.
18
 
19
McClellan, Michael T ., Algorithms for Exact Solution of Systems of Linear Equations with Polynomial Coefficients, Ph.D. Thesis, Computer Sciences Dept., Univ. of Wis. In preparation.
20
 
21
 
22
Takahasi, H ., and Y. Ishibashi, A New Method for Exact Calculation by Computer, Information Processing in Japan, Vol. 1 (1961), pp. 28-42.
 
23
Van der Waerden, B. L ., Modern Algebra, Vol. 1, Ungar Publ. Co ., 1948.