Label placement by maximum independent set in rectangles
WADS '97 Selected papers presented at the international workshop on Algorithms and data structure
On approximating rectangle tiling and packing
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Algorithmic derandomization via complexity theory
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Truth revelation in approximately efficient combinatorial auctions
Journal of the ACM (JACM)
Polynomial-time approximation schemes for packing and piercing fat objects
Journal of Algorithms
Truthful and Near-Optimal Mechanism Design via Linear Programming
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Algorithmic Game Theory
Maximum independent set of rectangles
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
TSP with neighborhoods of varying size
Journal of Algorithms
Approximation algorithms for secondary spectrum auctions
Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures
Coloring and maximum independent set of rectangles
APPROX'11/RANDOM'11 Proceedings of the 14th international workshop and 15th international conference on Approximation, randomization, and combinatorial optimization: algorithms and techniques
Truthfulness and stochastic dominance with monetary transfers
Proceedings of the fourteenth ACM conference on Electronic commerce
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We consider the following combinatorial auction: Given a range space (U,R), and m bidders interested in buying only ranges in R, each bidder j declares her bid bj :R → R+. We give a deterministic truthful mechanism, when the valuations are single-minded: when R is a collection of fat objects (respectively, axis-aligned rectangles) in the plane, there is a truthful mechanism with a 1 + ε- (respectively, ⌈log n⌉)- approximation of the social welfare (where n is an upper bound on the maximum integral coordinate of each rectangle). We also consider the non-single-minded case, and design a randomized truthful-inexpectation mechanism with approximation guarantee O(1) (respectively, O(log m)).