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Accurate solution of polynomial equations using Macaulay resultant matrices
Author(s):
Guðbjörn
F.
Jónsson;
Stephen
A.
Vavasis.
Journal:
Math. Comp.
74
(2005),
221-262.
MSC (2000):
Primary 13P10, 65F15.;
Secondary 68W30
Posted:
July 22, 2004
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Abstract:
We propose an algorithm for solving two polynomial equations in two variables. Our algorithm is based on the Macaulay resultant approach combined with new techniques, including randomization, to make the algorithm accurate in the presence of roundoff error. The ultimate computation is the solution of a generalized eigenvalue problem via the QZ method. We analyze the error due to roundoff of the method, showing that with high probability the roots are computed accurately, assuming that the input data (that is, the two polynomials) are well conditioned. Our analysis requires a novel combination of algebraic and numerical techniques.
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Additional Information:
Guðbjörn
F.
Jónsson
Affiliation:
Center for Applied Mathematics, Rhodes Hall, Cornell University, Ithaca, New York 14853
Address at time of publication:
deCODE Genetics, Lynghals 1, IS-110 Reykjavik, Iceland
Email:
gfj@decode.is
Stephen
A.
Vavasis
Affiliation:
Department of Computer Science, Upson Hall, Cornell University, Ithaca, New York 14853
Email:
vavasis@cs.cornell.edu
DOI:
10.1090/S0025-5718-04-01722-3
PII:
S 0025-5718(04)01722-3
Received by editor(s):
March 7, 2001
Received by editor(s) in revised form:
December 30, 2002
Posted:
July 22, 2004
Additional Notes:
This work was supported in part by NSF grants CCR-9619489 and EIA-9726388. Research also supported in part by NSF through grant DMS-9505155 and ONR through grant N00014-96-1-0050.
Copyright of article:
Copyright
2004,
American Mathematical Society
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