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ESA
2008
Springer
115views Algorithms» more  ESA 2008»
13 years 7 months ago
Deterministic Sampling Algorithms for Network Design
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
Anke van Zuylen
SIGECOM
2011
ACM
232views ECommerce» more  SIGECOM 2011»
12 years 8 months ago
Near optimal online algorithms and fast approximation algorithms for resource allocation problems
We present algorithms for a class of resource allocation problems both in the online setting with stochastic input and in the offline setting. This class of problems contains man...
Nikhil R. Devanur, Kamal Jain, Balasubramanian Siv...
CP
2005
Springer
13 years 11 months ago
Sub-optimality Approximations
Abstract. The sub-optimality approximation problem considers an optimization problem O, its optimal solution σ∗ , and a variable x with domain {d1, . . . , dm} and returns appro...
Russell Bent, Irit Katriel, Pascal Van Hentenryck
EOR
2006
104views more  EOR 2006»
13 years 5 months ago
A factor 1/2 approximation algorithm for two-stage stochastic matching problems
We introduce the two-stage stochastic maximum-weight matching problem and demonstrate that this problem is NP-complete. We give a factor 1 2 approximation algorithm and prove its ...
Nan Kong, Andrew J. Schaefer
WSC
2008
13 years 7 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell