An approximate redistributed proximal bundle method with inexact data for minimizing nonsmooth nonconvex functions

DOI10.1155/2015/215310zbMath1394.90561OpenAlexW1503443042WikidataQ59117637 ScholiaQ59117637MaRDI QIDQ1665008

Shu-Xin Wang, Jie Shen, Xiaoqian Liu, Fang-Fang Guo

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/215310

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items (3)

Computing proximal points of convex functions with inexact subgradients ⋮ A new proximal Chebychev center cutting plane algorithm for nonsmooth optimization and its convergence ⋮ A redistributed bundle algorithm based on local convexification models for nonlinear nonsmooth DC programming

Uses Software

• PNEW

Cites Work

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• Restricted Step and Levenberg–Marquardt Techniques in Proximal Bundle Methods for Nonconvex Nondifferentiable Optimization

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