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 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 ε∈ ∈(0,1], guarantees a -approximation. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Rabani, Y., & Scalosub, G. (2008). Bicriteria approximation tradeoff for the node-cost budget problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5124 LNCS, pp. 90–101). https://doi.org/10.1007/978-3-540-69903-3_10
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