The Computational Complexity of the Resultant Method for Solving Polynomial Equations

The Computational Complexity of the Resultant Method for Solving Polynomial Equations

Year:    1985

Journal of Computational Mathematics, Vol. 3 (1985), Iss. 2 : pp. 161–166

Abstract

Under an assumption of distribution on zeros of the polynomials, we have given the estimate of computational cost for the resultant method. The result in that, in probability $1-\mu$, the computational cost of the resultant method for finding $ε$-approximations of all zeros is at most $$cd^2(log d+log\frac{1}{\mu}+loglog\frac{1}ε)$$, where the cost is measured by the number of f-evaluations. The estimate of cost can be decreased to $c(d^2logd+d^2log\frac{1}{\mu}+dloglog\frac{1}ε)$ by combining resultant method with parallel quasi-Newton method.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/1985-JCM-9613

Journal of Computational Mathematics, Vol. 3 (1985), Iss. 2 : pp. 161–166

Published online:    1985-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    6

Keywords: