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检索条件"主题词=Convex Programming"
1984 条 记 录,以下是1691-1700 订阅
排序:
Subgradient method with entropic projections for convex nondifferentiable minimization
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JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 1998年 第1期96卷 159-173页
作者: Kiwiel, KC Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland
We replace orthogonal projections in the Polyak subgradient method for nonnegatively constrained minimization with entropic projections, thus obtaining an interior-point subgradient method. Inexact entropic projection... 详细信息
来源: 评论
convex optimization via feedbacks
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SIAM JOURNAL ON CONTROL AND OPTIMIZATION 1998年 第1期37卷 278-302页
作者: Kryazhimskii, AV VA Steklov Math Inst Moscow 117966 Russia
Three dynamical systems are associated with a problem of convex optimization in a finite-dimensional space. For system trajectories x(t), the ratios x(t)/t are, respectively, (i) solution tracking (staying within the ... 详细信息
来源: 评论
On linear convergence of gradient-type minimization algorithms
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JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 1998年 第2期98卷 475-487页
作者: Gaviano, M Lera, D Univ Cagliari Dept Math Cagliari Italy
Given the minimization problem of a real-valued function f(x), x is an element of R-n, let A be any algorithm of type x(i+1) = x(i) + lambda(i)h(i), with lambda(i) is an element of R, h(i) is an element of R-n, -h(i)(... 详细信息
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Iterative bundle-based decomposition for large-scale nonseparable convex optimization
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 1998年 第3期111卷 598-616页
作者: Park, K Shin, YS Hongik Univ Dept Ind Engn Mapo Ku Seoul 121791 South Korea
There has been considerable research in solving large-scale separable convex optimization problems. In this paper we present an algorithm for large-scale nonseparable smooth convex optimization problems with block-ang... 详细信息
来源: 评论
Primal-dual interior-point methods for self-scaled cones
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SIAM JOURNAL ON OPTIMIZATION 1998年 第2期8卷 324-364页
作者: Nesterov, YE Todd, MJ Univ Catholique Louvain CORE B-1348 Louvain Belgium Cornell Univ Sch Operat Res & Ind Engn Ithaca NY 14853 USA Univ Washington Dept Math Seattle WA 98195 USA MIT Ctr Operat Res Cambridge MA 02139 USA
In this paper we continue the development of a theoretical foundation for efficient primal-dual interior-point algorithms for convex programming problems expressed in conic form, when the cone and its associated barri... 详细信息
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On the absolute significance test for polynomial distribution
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THEORY OF PROBABILITY AND ITS APPLICATIONS 1998年 第4期42卷 671-683页
作者: Salikhov, NP FAPSI Moscow 103031 Russia
Upper estimates are found for the sum of probabilities of all the events (x(1),...,x(r)), where xk is the frequency of the kth outcome in n independent trials carried out according to a polynomial scheme of trials wit... 详细信息
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An interior point method with Bregman functions for the variational inequality problem with paramonotone operators
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MATHEMATICAL programming 1998年 第3期81卷 373-400页
作者: Censor, Y Iusem, AN Zenios, SA Univ Haifa Dept Math IL-31905 Haifa Israel Inst Matematica Pura & Aplicada BR-22460 Rio De Janeiro Brazil Univ Cyprus Dept Publ & Business Adm Nicosia Cyprus
We present an algorithm for the variational inequality problem on convex sets with nonempty interior. The use of Bregman functions whose zone is the convex set allows for the generation of a sequence contained in the ... 详细信息
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A controlled jump discounted model with constraints
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THEORY OF PROBABILITY AND ITS APPLICATIONS 1998年 第1期42卷 51-72页
作者: Piunovskii, AB Inst Problems Phys & Tech Moscow 119034 Russia
In the problem under consideration the given functionals of the trajectories must satisfy a system of inequalities. As usual, a construction of control strategy is required to ensure attainment of the extremal value o... 详细信息
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On the complexity of a practical interior-point method
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SIAM JOURNAL ON OPTIMIZATION 1998年 第3期8卷 833-849页
作者: Nash, SG Sofer, A George Mason Univ Operat Res & Engn Dept Fairfax VA 22030 USA
The theory of self-concordance in convex optimization has been used to analyze the complexity of interior-point methods based on Newton's method. For large problems, it may be impractical to use Newton's metho... 详细信息
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Primal-dual interior-point methods for semidefinite programming: Convergence rates, stability and numerical results
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SIAM JOURNAL ON OPTIMIZATION 1998年 第3期8卷 746-768页
作者: Alizadeh, F Haeberly, JPA Overton, ML Rutgers State Univ RUTCOR New Brunswick NJ 08854 USA Fordham Univ Dept Math Bronx NY 10458 USA NYU Courant Inst Math Sci Dept Comp Sci New York NY 10012 USA
Primal-dual interior-point path-following methods for semidefinite programming are considered. Several variants are discussed, based on Newton's method applied to three equations: primal feasibility, dual feasibil... 详细信息
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