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A Decomposition Method with Redistributed Subroutine for Constrained Nonconvex Optimization

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  • Yuan Lu
  • Wei Wang
  • Li-Ping Pang
  • Dan Li

Abstract

A class of constrained nonsmooth nonconvex optimization problems, that is, piecewise objectives with smooth inequality constraints are discussed in this paper. Based on the -theory, a superlinear convergent -algorithm, which uses a nonconvex redistributed proximal bundle subroutine, is designed to solve these optimization problems. An illustrative example is given to show how this convergent method works on a Second-Order Cone programming problem.

Suggested Citation

  • Yuan Lu & Wei Wang & Li-Ping Pang & Dan Li, 2013. "A Decomposition Method with Redistributed Subroutine for Constrained Nonconvex Optimization," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-9, February.
    • Handle: RePEc:hin:jnlaaa:376403
    DOI: 10.1155/2013/376403
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