Globally convergent algorithm for solving nonlinear equations |
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Authors: | J. Abaffy F. Forgo |
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Affiliation: | (1) Institute of Mathematics and Computer Science, University of Economics, Budapest, Hungary |
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Abstract: | A general iterative method is proposed for finding the maximal rootxmax of a one-variable equation in a given interval. The method generates a monotone-decreasing sequence of points converging toxmax or demonstrates the nonexistence of a real root. It is globally convergent. A concrete realization of the general algorithm is also given and is shown to be locally quadratically convergent. Computational experience obtained for eight test problems indicates that the new method is comparable to known methods claiming global convergence. |
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Keywords: | Nonlinear equations global optimization global convergence |
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