A unified kernel function approach to primal-dual interior-point algorithms for convex quadratic SDO (Q634734)
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scientific article; zbMATH DE number 5939485
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A unified kernel function approach to primal-dual interior-point algorithms for convex quadratic SDO |
scientific article; zbMATH DE number 5939485 |
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A unified kernel function approach to primal-dual interior-point algorithms for convex quadratic SDO (English)
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16 August 2011
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This paper presents a unified approach to primal-dual interior-point algorithms for the convex quadratic semidefinite optimization (SDO) problem based on the eligible kernel functions. The authors show that every eligible kernel function gives rise to an interior-point algorithm for the convex quadratic semidefinite optimization problem. Iteration bounds for large and small update methods are obtained.
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convex quadratic semidefinite optimization
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kernel function
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large and small update methods
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iteration bound
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primal-dual interior-point algorithms
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