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FOCS
2005
IEEE
15 years 3 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
ENTCS
2008
97views more  ENTCS 2008»
14 years 9 months ago
An Algorithm for Approximating the Satisfiability Problem of High-level Conditions
The satisfiability problem is the fundamental problem in proving the conflict-freeness of specifications, or in finding a counterexample for an invalid statement. In this paper, w...
Karl-Heinz Pennemann
ALGOSENSORS
2009
Springer
15 years 4 months ago
Improved Approximation Algorithms for Maximum Lifetime Problems in Wireless Networks
A wireless ad-hoc network is a collection of transceivers positioned in the plane. Each transceiver is equipped with a limited battery charge. The battery charge is then reduced a...
Zeev Nutov, Michael Segal
SIAMSC
2011
219views more  SIAMSC 2011»
14 years 4 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
WINE
2010
Springer
189views Economy» more  WINE 2010»
14 years 7 months ago
Approximation Algorithms for Non-single-minded Profit-Maximization Problems with Limited Supply
We consider profit-maximization problems for combinatorial auctions with non-single minded valuation functions and limited supply. We obtain fairly general results that relate the ...
Khaled M. Elbassioni, Mahmoud Fouz, Chaitanya Swam...