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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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A minimax method for finding saddle critical points of upper semi-differentiable locally Lipschitz continuous functional in Hilbert space and its convergence
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by Xudong Yao PDF
Math. Comp. 82 (2013), 2087-2136 Request permission

Abstract:

A minimax characterization for finding nonsmooth saddle critical points, i.e., saddle critical points of locally Lipschitz continuous functional, in Banach space is presented in [X. Yao and J. Zhou, A local minimax characterization for computing multiple nonsmooth saddle critical points, Math. Program., 104 (2005), no. 2-3, Ser. B, 749-760]. By this characterization, a descent-max method is devised. But, there is no numerical experiment and convergence result for the method. In this paper, to a class of locally Lipschitz continuous functionals, a minimax method for computing nonsmooth saddle critical points in Hilbert space will be designed. Numerical experiments will be carried out and convergence results will be established.
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Additional Information
  • Xudong Yao
  • Affiliation: Department of Mathematic, Shanghai Normal University, Shanghai, China 200234
  • Email: xdyao@shnu.edu.cn
  • Received by editor(s): July 23, 2010
  • Received by editor(s) in revised form: October 23, 2011
  • Published electronically: March 28, 2013
  • © Copyright 2013 American Mathematical Society
    The copyright for this article reverts to public domain 28 years after publication.
  • Journal: Math. Comp. 82 (2013), 2087-2136
  • MSC (2010): Primary 65K10, 65K15, 65N12; Secondary 49M37
  • DOI: https://doi.org/10.1090/S0025-5718-2013-02669-5
  • MathSciNet review: 3073193