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» Approximation algorithms for hierarchical location problems
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127
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STOC
2004
ACM
118views Algorithms» more  STOC 2004»
16 years 2 months ago
Boosted sampling: approximation algorithms for stochastic optimization
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
SODA
2003
ACM
107views Algorithms» more  SODA 2003»
15 years 3 months ago
Fault-tolerant facility location
We consider a fault-tolerant generalization of the classical uncapacitated facility location problem, where each client j has a requirement that rj distinct facilities serve it, i...
Chaitanya Swamy, David B. Shmoys
131
Voted
JAL
2006
175views more  JAL 2006»
15 years 1 months ago
Approximations for minimum and min-max vehicle routing problems
: We consider a variety of vehicle routing problems. The input to a problem consists of a graph G = (N, E) and edge lengths l(e) e E. Customers located at the vertices have to be ...
Esther M. Arkin, Refael Hassin, Asaf Levin
139
Voted
SODA
2012
ACM
229views Algorithms» more  SODA 2012»
13 years 4 months ago
Approximation algorithms for stochastic orienteering
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
Anupam Gupta, Ravishankar Krishnaswamy, Viswanath ...
IPCO
2001
166views Optimization» more  IPCO 2001»
15 years 3 months ago
Approximate k-MSTs and k-Steiner Trees via the Primal-Dual Method and Lagrangean Relaxation
Garg [10] gives two approximation algorithms for the minimum-cost tree spanning k vertices in an undirected graph. Recently Jain and Vazirani [16] discovered primal-dual approxima...
Fabián A. Chudak, Tim Roughgarden, David P....