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检索条件"主题词=Semidefinite Programming"
2472 条 记 录,以下是2331-2340 订阅
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Applications of semidefinite programming
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APPLIED NUMERICAL MATHEMATICS 1999年 第3期29卷 283-299页
作者: Vandenberghe, L Boyd, S Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA Stanford Univ Dept Elect Engn Informat Syst Lab Stanford CA 94305 USA
A wide variety of nonlinear convex optimization problems can be cast as problems involving Linear matrix inequalities (LMIs), and hence efficiently solved using recently developed interior-point methods. In this paper... 详细信息
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CSDP, a C library for semidefinite programming
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OPTIMIZATION METHODS & SOFTWARE 1999年 第1-4期11-2卷 613-623页
作者: Borchers, B New Mexico Tech Dept Math Socorro NM 87801 USA
This paper describes CSDP, a library of routines that implements a predictor corrector variant of the semidefinite programming algorithm of Helmberg, Rendl, Vanderbei, and Wolkowicz. The main advantages of this code a... 详细信息
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Symmetric primal-dual path-following algorithms for semidefinite programming
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APPLIED NUMERICAL MATHEMATICS 1999年 第3期29卷 301-315页
作者: Sturm, JF Zhang, SZ Tinbergen Inst Rotterdam NL-3000 DR Rotterdam Netherlands Erasmus Univ NL-3000 DR Rotterdam Netherlands
We propose a framework for developing and analyzing primal-dual interior point algorithms for semidefinite programming. This framework is an extension of the v-space approach that was developed by Kojima et al. (1991)... 详细信息
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A new semidefinite programming bound for indefinite quadratic forms over a simplex
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JOURNAL OF GLOBAL OPTIMIZATION 1999年 第4期14卷 357-364页
作者: Nowak, I Humboldt Univ D-10099 Berlin Germany
The paper describes a method for computing a lower bound of the global minimum of an indefinite quadratic form over a simplex. The bound is derived by computing an underestimator of the convex envelope by solving a se... 详细信息
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Derandomizing approximation algorithms based on semidefinite programming
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SIAM JOURNAL ON COMPUTING 1999年 第5期28卷 1641-1663页
作者: Mahajan, S Ramesh, H LSI Log Milpitas CA 95035 USA Indian Inst Sci Bangalore 560012 Karnataka India Max Planck Inst Informat D-66123 Saarbrucken Germany
Remarkable breakthroughs have been made recently in obtaining approximate solutions to some fundamental NP-hard problems, namely Max-Cut, Max k-Cut, Max-Sat, Max-Dicut, Max-bisection, k-vertex coloring, maximum indepe... 详细信息
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SDPLIB 1.2, a library of semidefinite programming test problems
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OPTIMIZATION METHODS & SOFTWARE 1999年 第1-4期11-2卷 683-690页
作者: Borchers, B New Mexico Inst Min & Technol Dept Math Socorro NM 87801 USA
SDPLIB is a collection of semidefinite programming (SDP) test problems. The problems are drawn from a variety of applications, including truss topology design, control systems engineering, and relaxations of combinato... 详细信息
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A recurrent neural network for real-time semidefinite programming
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IEEE TRANSACTIONS ON NEURAL NETWORKS 1999年 第1期10卷 81-93页
作者: Jiang, DC Wang, J Chinese Univ Hong Kong Dept Mech & Automat Engn Shatin NT Peoples R China
semidefinite programming problem is an important optimization problem that has been extensively investigated. A real-time solution method for solving such a problem, however, is still not get available. This paper pro... 详细信息
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SDPHA: A MATLAB implementation of homogeneous interior-point algorithms for semidefinite programming
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OPTIMIZATION METHODS & SOFTWARE 1999年 第1-4期11-2卷 583-596页
作者: Brixius, N Potra, FA Sheng, RQ Univ Iowa Dept Comp Sci Iowa City IA 52242 USA Univ Maryland Dept Math & Stat Baltimore MD 21250 USA Lucent Technol Lisle IL 60532 USA
Mehrotra type primal-dual predictor-corrector interior-point algorithms for semidefinite programming are implemented, using the homogeneous formulation proposed and analyzed by Potra and Sheng. Several search directio... 详细信息
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Primal-dual potential reduction methods for semidefinite programming using affine-scaling directions
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APPLIED NUMERICAL MATHEMATICS 1999年 第3期29卷 335-360页
作者: de Klerk, E Roos, C Terlaky, T Delft Univ Technol Fac Tech Math & Informat NL-2600 GA Delft Netherlands
Primal-dual affine-scaling methods have recently been extended from linear programming to semidefinite programming. We show how to analyze these methods in the framework of potential reduction algorithms. The analysis... 详细信息
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Polynomial primal-dual cone affine scaling for semidefinite programming
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APPLIED NUMERICAL MATHEMATICS 1999年 第3期29卷 317-333页
作者: Berkelaar, AB Sturm, JF Zhang, SZ Erasmus Univ Inst Econometr NL-3000 DR Rotterdam Netherlands
semidefinite programming concerns the problem of optimizing a linear function over a section of the cone of semidefinite matrices. In the cone affine scaling approach, we replace the cone of semidefinite matrices by a... 详细信息
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