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A new proof of the strong duality theorem for semidefinite programming

机译:半定规划强对偶定理的新证明

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Semidefinite programs are convex optimization problems arising in a wide variety of applications and are the extension of linear programming. Most methods for linear programming have been generalized to semidefinite programs. Just as in linear programming, duality theorem plays a basic and an important role in theory as well as in algorithmics. Based on the discretization method and convergence property, this paper proposes a new proof of the strong duality theorem for semidefinite programming, which is different from other common proofs and is more simple. (C) 2004 Elsevier Inc. All rights reserved.
机译:半定程序是在各种应用中出现的凸优化问题,并且是线性规划的扩展。线性编程的大多数方法已推广到半定程序。就像线性规划一样,对偶定理在理论和算法中都起着基本和重要的作用。基于离散化方法和收敛性,本文提出了一种半定规划强对偶性定理的新证明,该证明不同于其他常见证明,而且更简单。 (C)2004 Elsevier Inc.保留所有权利。

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