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Global convergence rates for descent algorithms: Improved results for strictly convex problems
Authors:J C Allwright
Institution:(1) Department of Computing and Control, Imperial College of Science and Technology, London, England
Abstract:Convergence to the minimal value is studied for the important type of descent algorithm which, at each interation, uses a search direction making an angle with the negative gradient which is smaller than a prespecified angle. Improvements on existing convergence rate results are obtained.Paper received on 4 October, 1977; in revised form, April 3, 1978
Keywords:Convex programming  descent algorithms  convergence rates for optimization algorithms
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