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On the Local and Superlinear Convergence of Quasi-Newton Methods
Authors:BROYDEN  C G; DENNIS  J E  Jr; MOR?  JORGE J
Institution: Department of Computer Science, Cornell University Ithaca, N. Y. 15850, U.S.A.
Abstract:This paper presents a local convergence analysis for severalwell-known quasi-Newton methods when used, without line searches,in an iteration of the form to solve for x* such that Fx* = 0. The basic idea behind theproofs is that under certain reasonable conditions on xo, Fand xo, the errors in the sequence of approximations {Hk} toF'(x*)–1 can be shown to be of bounded deterioration inthat these errors, while not ensured to decrease, can increaseonly in a controlled way. Despite the fact that Hk is not shownto approach F'(x*)–1, the methods considered, includingthose based on the single-rank Broyden and double-rank Davidon-Fletcher-Powellformulae, generate locally Q-superlinearly convergent sequences{xk}.
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