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An approximation approach to non-strictly convex quadratic semi-infinite programming

journal contribution
posted on 2024-11-01, 06:43 authored by Satoshi Ito, Yanqun Liu, K Teo
We present in this paper a numerical method for solving non-strictly-convex quadratic semi-infinite programming including linear semi-infinite programming. The proposed method transforms the problem into a series of strictly convex quadratic semi-infinite programming problems. Several convergence results and a numerical experiment are given.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/s10898-004-8278-8
  2. 2.
    ISSN - Is published in 09255001

Journal

Journal of Global optimization

Volume

30

Issue

2-3

Start page

195

End page

206

Total pages

12

Publisher

Springer

Place published

United States

Language

English

Copyright

© 2004 Springer

Former Identifier

2006015436

Esploro creation date

2020-06-22

Fedora creation date

2013-02-25

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