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检索条件"主题词=Convex Programming"
1984 条 记 录,以下是1721-1730 订阅
排序:
Asymptotic dual conditions characterizing optimality for infinite convex programs
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JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 1997年 第1期93卷 153-165页
作者: Jeyakumar, V School of Mathematics University of New South Wales Sydney Australia
Characterizations of optimality are presented for infinite-dimensional convex programming problems, where the number of constraints is not restricted to be finite and where no constraint qualification is assumed. The ... 详细信息
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Analog neural optimization for ATM resource management
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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1997年 第2期15卷 156-164页
作者: Farago, A Biro, J Henk, T Boda, M ERICSSON TELECOM AB S-12525 ALVSJOSWEDEN
This paper addresses the issue of how to solve convex programming problems by analog artificial neural networks (ANN's), with applications in asychronous transfer mode (ATM) resource management. We first show that... 详细信息
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Free-steering relaxation methods for problems with strictly convex costs and linear constraints
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MATHEMATICS OF OPERATIONS RESEARCH 1997年 第2期22卷 326-349页
作者: Kiwiel, KC Systems Research Institute Newelska 6 01-447 Warsaw Poland
We consider dual coordinate ascent methods for minimizing a strictly convex (possibly nondifferentiable) function subject to linear constraints. Such methods are useful in large-scale applications (e.g., entropy maxim... 详细信息
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Convergence rates in forward-backward splitting
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SIAM JOURNAL ON OPTIMIZATION 1997年 第2期7卷 421-444页
作者: Chen, GHG Rockafellar, RT UNIV WASHINGTON DEPT MATHSEATTLEWA 98195
Forward-backward splitting methods provide a range of approaches to solving large-scale optimization problems and variational inequalities in which structures conducive to decomposition can be utilized. Apart from spe... 详细信息
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Steepest descent methods with generalized distances for constrained optimization
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ACTA APPLICANDAE MATHEMATICAE 1997年 第2期46卷 225-246页
作者: Iusem, AN Instituto de Matemática Pura e Aplicada Rio de Janeiro RJ Brazil
We consider the problem min f(x) s.t. x is an element of C, where C is a closed and cover subset of R-n with nonempty interior, and introduce a family of interior point methods for this problem, which can be seen as a... 详细信息
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SIMULTANEOUS ALLOCATION AND SCHEDULING USING convex programming TECHNIQUES
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Parallel Processing Letters 1995年 第4期5卷 587-598页
作者: SHANKAR RAMASWAMY PRITHVIRAJ BANERJEE Computational Science and Engineering 469 Computer Systems and Research Lab University of Illinois 1308 W. Main St. Urbana IL 61801 USA
Simultaneous exploitation of task and data parallelism provides significant benefits for many applications. The basic approach for exploiting task and data parallelism is to use a task graph representation (Macro Data... 详细信息
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Logarithmic barrier decomposition methods for semi-infinite programming
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International Transactions in Operational Research 1997年 第4期4卷 285-303页
作者: Kaliski, J. Haglin, D. Roos, C. Terlaky, T. Mankato State University United States Drlft University of Technology Netherlands
A computational study of some logarithmic barrier decomposition algorithms for semi-infinite programming is presented in this paper. The conceptual algorithm is a straightforward adaptation of the logarithmic barrier ... 详细信息
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DIRECTIONAL DIFFERENTIABILITY OF THE OPTIMAL VALUE FUNCTION IN convex SEMIINFINITE programming
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MATHEMATICAL programming 1995年 第2期70卷 149-157页
作者: SHAPIRO, A Georgia Institute of Technology
In this paper, directional differentiability properties of the optimal value function of a parameterized semi-infinite programming problem are studied. It is shown that if the unperturbed semi-infinite programming pro... 详细信息
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CONVERGENCE RATE ANALYSIS OF NONQUADRATIC PROXIMAL METHODS FOR convex AND LINEAR-programming
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MATHEMATICS OF OPERATIONS RESEARCH 1995年 第3期20卷 657-677页
作者: IUSEM, AN TEBOULLE, M TEL AVIV UNIV SCH MATH SCI IL-69978 RAMAT AVIV ISRAEL
The phi-divergence proximal method is an extension of the proximal minimization algorithm, where the usual quadratic proximal term is substituted by a class of convex statistical distances, called phi-divergences. In ... 详细信息
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Objective function and logarithmic barrier function properties in convex programming: Level sets, solution attainment and strict convexity
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Optimization 1995年 第3期34.0卷 213-222页
We give several reSSPIsults, some new and some old, but apparently overlooked, that provide useful characterizations of barrier functions and their relationship to problem function properties. In particular, we show t... 详细信息
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