A solution method for combined semi-infinite and semi-definite programming

In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of combined semi-infinite and semi-definite programming problems. We show that any sequence of points generated by the algorithm contains a convergent subsequence; and furthermore, each accumulation poin...

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Main Authors: Li, S., Yang, X., Teo, Kok Lay, Wu, S.
Format: Journal Article
Published: Australian Mathematical Society 2004
Online Access:http://hdl.handle.net/20.500.11937/16509
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author Li, S.
Yang, X.
Teo, Kok Lay
Wu, S.
author_facet Li, S.
Yang, X.
Teo, Kok Lay
Wu, S.
author_sort Li, S.
building Curtin Institutional Repository
collection Online Access
description In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of combined semi-infinite and semi-definite programming problems. We show that any sequence of points generated by the algorithm contains a convergent subsequence; and furthermore, each accumulation point is a local optimal solution of the combined semi-infinite and semi-definite programming problem. To illustrate the effectiveness of the algorithm, two specific classes of problems are solved. They are relaxations of quadratically constrained semi-infinite quadratic programming problems and semi-infinite eigenvalue problems.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:17:06Z
publishDate 2004
publisher Australian Mathematical Society
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spelling curtin-20.500.11937-165092017-09-13T15:42:22Z A solution method for combined semi-infinite and semi-definite programming Li, S. Yang, X. Teo, Kok Lay Wu, S. In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of combined semi-infinite and semi-definite programming problems. We show that any sequence of points generated by the algorithm contains a convergent subsequence; and furthermore, each accumulation point is a local optimal solution of the combined semi-infinite and semi-definite programming problem. To illustrate the effectiveness of the algorithm, two specific classes of problems are solved. They are relaxations of quadratically constrained semi-infinite quadratic programming problems and semi-infinite eigenvalue problems. 2004 Journal Article http://hdl.handle.net/20.500.11937/16509 10.1017/S1446181100013511 Australian Mathematical Society fulltext
spellingShingle Li, S.
Yang, X.
Teo, Kok Lay
Wu, S.
A solution method for combined semi-infinite and semi-definite programming
title A solution method for combined semi-infinite and semi-definite programming
title_full A solution method for combined semi-infinite and semi-definite programming
title_fullStr A solution method for combined semi-infinite and semi-definite programming
title_full_unstemmed A solution method for combined semi-infinite and semi-definite programming
title_short A solution method for combined semi-infinite and semi-definite programming
title_sort solution method for combined semi-infinite and semi-definite programming
url http://hdl.handle.net/20.500.11937/16509