On the cost of approximating all roots of a complex polynomial |
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Authors: | James Renegar |
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Affiliation: | (1) Department of Mathematics, Colorado State University, 80523 Fort Collins, CO, USA |
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Abstract: | This work examines the computational complexity of a homotopy algorithm in approximating all roots of a complex polynomialf. It is shown that, probabilistically, monotonic convergence to each of the roots occurs after a determined number of steps. Moreover, in all subsequent steps, each rootz is approximated by a complex numberx, where ifx0 =x, xj =xj–1 –f(xj–1)/f(xj–1),j = 1, 2,, then |xj –z| < (1/|x0 –z|)|xj–1–z|2. |
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Keywords: | Homotopy Algorithm Computational Complexity Complex Polynomials Newton's Method |
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