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Polynomial Time Approximation Scheme for Connected Vertex Cover in Unit Disk Graph
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Information Processing Letters
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Approximation algorithms for maximum independent set of pseudo-disks
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PTAS for connected vertex cover in unit disk graphs
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Shifting Strategy for Geometric Graphs without Geometry
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Optimization problems in multiple-interval graphs
ACM Transactions on Algorithms (TALG)
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Approximation algorithms for geometric intersection graphs
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Algorithms for dominating set in disk graphs: breaking the log n Barrier
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Minimum vertex cover in rectangle graphs
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Minimum vertex cover in rectangle graphs
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PTAS for minimum weighted connected vertex cover problem with c-local condition in unit disk graphs
Journal of Combinatorial Optimization
Bidimensionality and geometric graphs
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Better approximation schemes for disk graphs
SWAT'06 Proceedings of the 10th Scandinavian conference on Algorithm Theory
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Geometric packing under non-uniform constraints
Proceedings of the twenty-eighth annual symposium on Computational geometry
Shifting strategy for geometric graphs without geometry
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PTAS for the minimum weighted dominating set in growth bounded graphs
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Optimization problems in dotted interval graphs
WG'12 Proceedings of the 38th international conference on Graph-Theoretic Concepts in Computer Science
A constant-factor approximation for multi-covering with disks
Proceedings of the twenty-ninth annual symposium on Computational geometry
Computational geometry column 56
ACM SIGACT News
European Journal of Combinatorics
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A disk graph is the intersection graph of a set of disks with arbitrary diameters in the plane. For the case that the disk representation is given, we present polynomial-time approximation schemes (PTASs) for the maximum weight independent set problem (selecting disjoint disks of maximum total weight) and for the minimum weight vertex cover problem in disk graphs. These are the first known PTASs for $\mathcal{NP}$-hard optimization problems on disk graphs. They are based on a novel recursive subdivision of the plane that allows applying a shifting strategy on different levels simultaneously, so that a dynamic programming approach becomes feasible. The PTASs for disk graphs represent a common generalization of previous results for planar graphs and unit disk graphs. They can be extended to intersection graphs of other "disk-like" geometric objects (such as squares or regular polygons), also in higher dimensions.