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SIAMJO
2002
100views more  SIAMJO 2002»
13 years 4 months ago
Warm-Start Strategies in Interior-Point Methods for Linear Programming
Abstract. We study the situation in which, having solved a linear program with an interiorpoint method, we are presented with a new problem instance whose data is slightly perturbe...
E. Alper Yildirim, Stephen J. Wright
SIAMJO
2002
149views more  SIAMJO 2002»
13 years 4 months ago
Semidefinite Programs: New Search Directions, Smoothing-Type Methods, and Numerical Results
Motivated by some results for linear programs and complementarity problems, this paper gives some new characterizations of the central path conditions for semidefinite programs. Ex...
Christian Kanzow, Christian Nagel
SIAMJO
2002
120views more  SIAMJO 2002»
13 years 4 months ago
Dual Stochastic Dominance and Related Mean-Risk Models
We consider the problem of constructing mean{risk models which are consistent with the second degree stochastic dominance relation. By exploiting duality relations of convex analys...
Wlodzimierz Ogryczak, Andrzej Ruszczynski
SIAMJO
2002
96views more  SIAMJO 2002»
13 years 4 months ago
Lagrangian Dual Interior-Point Methods for Semidefinite Programs
This paper proposes a new predictor-corrector interior-point method for a class of semidefinite programs, which numerically traces the central trajectory in a space of Lagrange mul...
Mituhiro Fukuda, Masakazu Kojima, Masayuki Shida
SIAMJO
2002
124views more  SIAMJO 2002»
13 years 4 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...