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检索条件"主题词=Convex Programming"
1984 条 记 录,以下是1761-1770 订阅
排序:
A RANDOMIZED SCHEME FOR SPEEDING-UP ALGORITHMS FOR LINEAR AND convex-programming PROBLEMS WITH HIGH CONSTRAINTS-TO-VARIABLES RATIO
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MATHEMATICAL programming 1993年 第1期61卷 39-52页
作者: ADLER, I SHAMIR, R TEL AVIV UNIV RAYMOND & BEVERLY SACKLER FAC EXACT SCIDEPT COMP SCIIL-69978 TEL AVIVISRAEL UNIV CALIF BERKELEY DEPT IND ENGN & OPERAT RESBERKELEYCA 94720
We extend Clarkson's randomized algorithm for linear programming to a general scheme for solving convex optimization problems. The scheme can be used to speed up existing algorithms on problems which have many mor... 详细信息
来源: 评论
NONLINEAR PROXIMAL POINT ALGORITHMS USING BREGMAN FUNCTIONS, WITH APPLICATIONS TO convex-programming
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MATHEMATICS OF OPERATIONS RESEARCH 1993年 第1期18卷 202-226页
作者: ECKSTEIN, J Mathematical Sciences Research Thinking Machines Corporation 245 First Street Cambridge Massachusetts 02142
A Bregman function is a strictly convex, differentiable function that induces a well-behaved distance measure or D-function on Euclidean space. This paper shows that, for every Bregman function, there exists a '&#... 详细信息
来源: 评论
SELF-SCHEDULED H-INFINITY CONTROL OF LINEAR PARAMETER-VARYING SYSTEMS - A DESIGN EXAMPLE
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AUTOMATICA 1995年 第9期31卷 1251-1261页
作者: APKARIAN, P GAHINET, P BECKER, G INST NATL RECH INFORMAT & AUTOMAT F-78153 LE CHESNAYFRANCE UNIV CALIF BERKELEY DEPT MECH ENGNBERKELEYCA 94720
This paper is concerned with the design of gain-scheduled controllers with guaranteed H infinity performance for a class of linear parameter-varying (LPV) plants. Here the plant state-space matrices are assumed to dep... 详细信息
来源: 评论
INTERIOR-POINT MULTIPLICATIVE METHOD FOR OPTIMIZATION UNDER POSITIVITY CONSTRAINTS
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ACTA APPLICANDAE MATHEMATICAE 1995年 第2期38卷 163-184页
作者: IUSEM, AN INST MATEMATICA PURA & APLICADA BR-22460 RIO JANEIROBRAZIL
We analyze an algorithm for the problem min f(x) s.t. x greater than or equal to 0 suggested, without convergence proof, by Eggermont. The iterative step is given by x(j)(k+1) = x(j)(k)(1-lambda(k) del f(x(k))(j)) wit... 详细信息
来源: 评论
ON THE CONVERGENCE OF THE EXPONENTIAL MULTIPLIER METHOD FOR convex-programming
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MATHEMATICAL programming 1993年 第1期60卷 1-19页
作者: TSENG, P BERTSEKAS, DP MIT DEPT ELECT ENGN & COMP SCIINFORMAT & DECIS SYST LABCAMBRIDGEMA 02139 UNIV WASHINGTON DEPT MATHSEATTLEWA 98195
In this paper, we analyze the exponential method of multipliers for convex constrained minimization problems, which operates like the usual Augmented Lagrangian method, except that it uses an exponential penalty funct... 详细信息
来源: 评论
Linear programming, complexity theory and elementary functional analysis
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MATHEMATICAL programming 1995年 第3期70卷 279-351页
作者: Renegar, J School of Operations Research and Industrial Engineering Cornell University Ithaca United States
We propose analyzing interior-point methods using notions of problem-instance size which are direct generalizations of the condition number of a matrix. The notions pertain to linear programming quite generally;the un... 详细信息
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APPROXIMATIONS IN PROXIMAL BUNDLE METHODS AND DECOMPOSITION OF convex-PROGRAMS
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JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 1995年 第3期84卷 529-548页
作者: KIWIEL, KC Systems Research Institute Warsaw Poland
A proximal bundle method is presented for minimizing a nonsmooth convex function f. At each iteration, it requires only one approximate evaluation of f and its epsilon-subgradient, and it finds a search direction via ... 详细信息
来源: 评论
Simultaneous stabilization by piecewise constant periodic output feedback
CONTROL-THEORY AND ADVANCED TECHNOLOGY
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CONTROL-THEORY AND ADVANCED TECHNOLOGY 1995年 第4期10卷 1763-1775页
作者: Werner, H Furuta, K TOKYO INST TECHNOL SCH INFORMATMEGURO KUTOKYO 152JAPAN
This note considers the simultaneous stabilization of a collection of linear systems by periodic output feedback. convex programming can be used to compute a simultaneously stabilizing output injection matrix, which s... 详细信息
来源: 评论
PROXIMAL LEVEL BUNDLE METHODS FOR convex NONDIFFERENTIABLE OPTIMIZATION, SADDLE-POINT PROBLEMS AND VARIATIONAL-INEQUALITIES
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MATHEMATICAL programming 1995年 第1期69卷 89-109页
作者: KIWIEL, KC Systems Research Institute Polish Academy of Sciences Warsaw Poland
We study proximal level methods for convex optimization that use projections onto successive approximations of level sets of the objective corresponding to estimates of the optimal value. We show that they enjoy almos... 详细信息
来源: 评论
ROBUST PERFORMANCE OF SYSTEMS WITH STRUCTURED UNCERTAINTIES IN STATE-SPACE
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AUTOMATICA 1995年 第2期31卷 249-255页
作者: ZHOU, K KHARGONEKAR, PP STOUSTRUP, J NIEMANN, HH UNIV MICHIGAN DEPT ELECT ENGN & COMP SCIANN ARBORMI 48109 TECH UNIV DENMARK INST MATHDK-2800 LYNGBYDENMARK
This paper considers robust performance analysis and state feedback design for systems with time-varying parameter uncertainties. The notion of a strongly robust H infinity performance criterion is introduced, and its... 详细信息
来源: 评论