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MOR
2007
149views more  MOR 2007»
13 years 7 months ago
LP Rounding Approximation Algorithms for Stochastic Network Design
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
Anupam Gupta, R. Ravi, Amitabh Sinha
APPML
2011
13 years 3 months ago
Optimal control problem on insect pest populations
In this article we present a model of insect infestation of grape vines and consider the optimal control of the pest through the use of egg pesticides. We show existence and uniqu...
Delphine Picart, Bedr'Eddine Ainseba, Fabio Milner
EMO
2005
Springer
68views Optimization» more  EMO 2005»
14 years 1 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
SIAMSC
2010
198views more  SIAMSC 2010»
13 years 6 months ago
Analysis of Block Parareal Preconditioners for Parabolic Optimal Control Problems
In this paper, we describe block matrix algorithms for the iterative solution of large scale linear-quadratic optimal control problems arising from the optimal control of parabolic...
Tarek P. Mathew, Marcus Sarkis, Christian E. Schae...
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 8 months ago
MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem
Achieving weighted throughput maximization (WTM) through power control has been a long standing open problem in interference-limited wireless networks. The complicated coupling bet...
Liping Qian, Ying Jun Zhang, Jianwei Huang