Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62346
Title: A smoothing trust region filter algorithm for nonsmooth least squares problems
Authors: Chen, X 
Du, S
Zhou, Y
Keywords: Smoothing approximation
Trust region method
Filter technique
Issue Date: 2016
Publisher: Science in China Press
Source: Science China. Mathematics, 2016, v. 59, no. 5, p. 999-1014 How to cite?
Journal: Science China. Mathematics 
Abstract: We propose a smoothing trust region filter algorithm for nonsmooth nonconvex least squares problems. We present convergence theorems of the proposed algorithm to a Clarke stationary point or a global minimizer of the objective function under certain conditions. Preliminary numerical experiments show the efficiency of the proposed algorithm for finding zeros of a system of polynomial equations with high degrees on the sphere and solving differential variational inequalities.
URI: http://hdl.handle.net/10397/62346
ISSN: 1674-7283
DOI: 10.1007/s11425-015-5116-z
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