A filter-variable-metric method for nonsmooth convex constrained optimization-Reference-Cited by-同舟云学术

A filter-variable-metric method for nonsmooth convex constrained optimization

Published:2009-02 Issue:1 Volume:208 Page:119-128
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Peng Yehui,Feng Heying,Li Qiyong

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference22 articles.

1. A cutting plane algorithm that uses analytic centers;Atkinson;Mathematical Programming Series B,1995

2. R. Fletcher, S. Leyffer, A bundle filter method for nonsmooth nonlinear optimization. Numerical Analysis Report NA/195, Department of Mathematics, The University of Dundee, Scotland, 1999.

3. Nonlinear programming without a penalty function;Fletcher;Mathematical Programming,2002

4. R. Fletcher, S. Leyffer, Ph.L. Toint. On the Global Convergence of a Filter-SQP Algorithm. .

5. ACCPM-A library for convex optimization based on an analytic center cutting plane method;Gondzio;European Journal of Operation Research,1996

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A filter proximal bundle method for nonsmooth nonconvex constrained optimization;Journal of Global Optimization;2020-08-11

2. Combining Filter Method and Dynamically Dimensioned Search for Constrained Global Optimization;Computational Science and Its Applications – ICCSA 2017;2017

3. Global convergence of a derivative-free inexact restoration filter algorithm for nonlinear programming;Optimization;2016-12-22

4. Ergodic, primal convergence in dual subgradient schemes for convex programming, II: the case of inconsistent primal problems;Mathematical Programming;2016-07-28

5. A dwindling filter inexact projected Hessian algorithm for large scale nonlinear constrained optimization;Applied Mathematics and Computation;2013-08