Title
Bicriteria Approximation Tradeoff for the Node-Cost Budget Problem
Abstract
We consider an optimization problem consisting of an undirected graph, with cost and profit functions defined on all vertices. The goal is to find a connected subset of vertices with maximum total profit, whose total cost does not exceed a given budget. The best result known prior to this work guaranteed a (2,O(logn)) bicriteria approximation, i.e. the solution's profit is at least a fraction of $\frac{1}{O(\log n)}$ of an optimum solution respecting the budget, while its cost is at most twice the given budget. We improve these results and present a bicriteria tradeoff that, given any 茂戮驴茂戮驴 (0,1], guarantees a $(1+\varepsilon,O(\frac{1}{\varepsilon}\log n))$-approximation.
Year
DOI
Venue
2008
10.1145/1497290.1497295
ACM Transactions on Algorithms (TALG)
Keywords
DocType
Volume
bicriteria tradeoff,maximum total profit,total cost,best result,optimum solution,profit function,node-cost budget problem,log n,bicriteria approximation tradeoff,bicriteria approximation,connected subset,optimization problem,approximation algorithms,profitability
Conference
5
Issue
ISSN
Citations 
2
1549-6325
1
PageRank 
References 
Authors
0.39
12
2
Name
Order
Citations
PageRank
Yuval Rabani12265274.98
Gabriel Scalosub210310.41