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A relaxed cutting plane method for semi-infinite semi-definite programming

机译:半无限半定规划的松弛割平面方法

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In this paper, we develop two discretization algorithms with a cutting plane scheme for solving combined semi-infinite and semi-definite programming problems, i.e., a general algorithm when the parameter set is a compact set and a typical algorithm when the parameter set is a box set in the m-dimensional space. We prove that the accumulation point of the sequence points generated by the two algorithms is an optimal solution of the combined semi-infinite and semi-definite programming problem under suitable assumption conditions. Two examples are given to illustrate the effectiveness of the typical algorithm. (c) 2005 Elsevier B.V. All rights reserved.
机译:在本文中,我们开发了两种具有切平面方案的离散化算法来解决组合的半无限和半定规划问题,即参数集为紧集时的通用算法和参数集为紧集时的典型算法。盒设置在m维空间中。我们证明了在适当的假设条件下,两种算法生成的序列点的累加点是组合的半无限和半定规划问题的最优解。给出两个例子来说明典型算法的有效性。 (c)2005 Elsevier B.V.保留所有权利。

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