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A study of search directions in primal-dual interior-point methods for semidefinite programming

机译:半定规划中原始对偶内点法中搜索方向的研究

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We discuss several different search directions which can be used in primal-dual interior-point methods for semidefinite programming problems and investigate their theoretical properties, including scale invariance, primal-dual symmetry, and whether they always generate well-defined directions. Among the directions satisfying all but at most two of these desirable properties are the Alizadeh-Haeberly-Overton, Helmberg-Rendl-Vanderbei-Wolkowicz/Kojima-Shindoh-Hara/Monteiro, Nesterov-Todd, Gu, and Toh directions, as well as directions we will call the MTW and Half directions. The first five of these appear to be the best in our limited computational testing also.
机译:我们讨论了可以用在半对偶规划问题的原始对偶内点方法中的几种不同搜索方向,并研究了它们的理论性质,包括尺度不变性,原始对偶对称性以及它们是否始终生成定义明确的方向。在满足所有这些理想特性的方向(但最多满足两个)中,有Alizadeh-Haeberly-Overton,Helmberg-Rendl-Vanderbei-Wolkowicz / Kojima-Shindoh-Hara / Monteiro,Nesterov-Todd,Gu和Toh方向,以及方向,我们将其称为MTW和Half方向。在我们有限的计算测试中,前五个似乎也是最好的。

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