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FOCS
2004
IEEE
15 years 10 months ago
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
We consider a stochastic variant of the NP-hard 0/1 knapsack problem in which item values are deterministic and item sizes are independent random variables with known, arbitrary d...
Brian C. Dean, Michel X. Goemans, Jan Vondrá...
ALMOB
2006
97views more  ALMOB 2006»
15 years 6 months ago
The approximability of the String Barcoding problem
The String Barcoding (SBC) problem, introduced by Rash and Gusfield (RECOMB, 2002), consists in finding a minimum set of substrings that can be used to distinguish between all mem...
Giuseppe Lancia, Romeo Rizzi
SIAMCOMP
2008
123views more  SIAMCOMP 2008»
15 years 6 months ago
Approximation Algorithms for Biclustering Problems
One of the main goals in the analysis of microarray data is to identify groups of genes and groups of experimental conditions (including environments, individuals, and tissues) tha...
Lusheng Wang, Yu Lin, Xiaowen Liu
ALGOSENSORS
2009
Springer
16 years 24 days 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
COCOON
2008
Springer
15 years 8 months ago
Approximating the Generalized Capacitated Tree-Routing Problem
In this paper, we introduce the generalized capacitated tree-routing problem (GCTR), which is described as follows. Given a connected graph G = (V, E) with a sink s V and a set M...
Ehab Morsy, Hiroshi Nagamochi