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» Optimization of Convex Risk Functions
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EOR
2010
113views more  EOR 2010»
13 years 10 months ago
Optimal solutions for unrelated parallel machines scheduling problems using convex quadratic reformulations
We consider the unrelated parallel machines scheduling problem where jobs have earliness and tardiness penalties and a common due date. We formulate this problem and some of its v...
Marie-Christine Plateau, Yasmin A. Rios-Solis
JOTA
2010
117views more  JOTA 2010»
13 years 9 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
COLT
2006
Springer
14 years 2 months ago
Logarithmic Regret Algorithms for Online Convex Optimization
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...
Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal
IOR
2008
126views more  IOR 2008»
13 years 10 months ago
Fast Simulation of Multifactor Portfolio Credit Risk
This paper develops rare event simulation methods for the estimation of portfolio credit risk -- the risk of losses to a portfolio resulting from defaults of assets in the portfol...
Paul Glasserman, Wanmo Kang, Perwez Shahabuddin
ALT
2004
Springer
14 years 7 months ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List