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Solving semidefinite quadratic problems within nonsmooth optimization algorithms

  • Published:1996-11 Issue:11 Volume:23 Page:1099-1118
  • ISSN:0305-0548
  • Container-title:Computers & Operations Research
  • language:en
  • Short-container-title:Computers & Operations Research

Author:

Frangioni Antonio

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference18 articles.

1. Methods of Descent for Nondifferentiable Optimization;Kiwiel,1985

2. Nondifferentiable optimization;Lemaréchal,1989

3. A version of the Bundle idea for minimising a nonsmooth function: conceptual idea, convergence analysis, numerical results;Schramm;SIAM J. Optimization,1992

4. Applying Bundle methods to optimization of polyhedral functions: an applications-oriented development;Carraresi,1995

5. Practical Optimization;Gill,1981

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1. Separable Lagrangian Decomposition for Quasi-Separable Problems;International Series in Operations Research & Management Science;2024

2. Essentials of numerical nonsmooth optimization;Annals of Operations Research;2022-02-02

3. An augmented subgradient method for minimizing nonsmooth DC functions;Computational Optimization and Applications;2021-07-24

4. Subgradient Smoothing Method for Nonsmooth Nonconvex Optimization;Numerical Analysis and Optimization;2021

5. Lagrangian bounds for large‐scale multicommodity network design: a comparison between Volume and Bundle methods;International Transactions in Operational Research;2020-01-28
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