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» Approximation algorithms for hierarchical location problems
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STOC
2004
ACM
118views Algorithms» more  STOC 2004»
14 years 7 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»
13 years 8 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
JAL
2006
175views more  JAL 2006»
13 years 7 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
SODA
2012
ACM
229views Algorithms» more  SODA 2012»
11 years 10 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»
13 years 8 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....