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A robust secant method for optimization problems with inequality constraints
Authors:E Polak  D Q Mayne
Institution:(1) Department of Electrical Engineering and Computer Sciences, and Electronics Research Laboratory, University of California, Berkeley, California;(2) Department of Computing and Control, Imperial College, London, England
Abstract:This paper presents a secant method, based on R. B. Wilson's formula for the solution of optimization problems with inequality constraints. Global convergence properties are ensured by grafting the secant method onto a phase I - phase II feasible directions method, using a rate of convergence test for crossover control.This research was sponsored by the National Science Foundation, Grant No. ENG-73-08214 and Grant No. (RANN)-ENV-76-04264, and by the Joint Services Electronics Program. Contract No. F44620-76-C-0100.
Keywords:Nonlinear programming  secant method  quasi-Newton method  algorithm stabilization  recursive quadratic programming
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