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Convergence analysis of Tikhonov-type regularization algorithms for multiobjective optimization problems

  • Published:2009-05 Issue:1 Volume:211 Page:167-172
  • ISSN:0096-3003
  • Container-title:Applied Mathematics and Computation
  • language:en
  • Short-container-title:Applied Mathematics and Computation

Author:

Chen Zhe,Xiang Changhe,Zhao Kequan,Liu Xuewen

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference18 articles.

1. Noncoercive optimization problem;Auslander;Mathematics of Operations Research,1996

2. Asymptotic Cones and Functions in Optimization and Variational Inequalities;Auslander,2003

3. Proximal methods in vector optimization;Bonnel;SIAM Journal of Optimization,2005

4. Approximate proximal methods in vector optimization;Ceng;European Journal of Operational Research,2007

5. Vector Optimization: Set-Valued and Variational Analysis;Chen,2005

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1. Memory gradient method for multiobjective optimization;Applied Mathematics and Computation;2023-04

2. A Survey on Proximal Point Type Algorithms for Solving Vector Optimization Problems;Splitting Algorithms, Modern Operator Theory, and Applications;2019

3. A Tikhonov regularized penalty function approach for solving polylinear programming problems;Journal of Computational and Applied Mathematics;2018-01

4. An Algorithm for Vector Optimization Problems;Bulletin of the Malaysian Mathematical Sciences Society;2017-01-13

5. A predictor–corrector iterated Tikhonov regularization for linear ill-posed inverse problems;Applied Mathematics and Computation;2013-09
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