Discrete Mathematics - Topics on domination
Approximation algorithms for NP-complete problems on planar graphs
Journal of the ACM (JACM)
Approximation schemes for covering and packing problems in image processing and VLSI
Journal of the ACM (JACM)
On the efficiency of polynomial time approximation schemes
Information Processing Letters
Scheduling algorithms for packet radio networks
ICCC '95 Proceedings of the 12th international conference on computer communication on Information highways : for a smaller world and better living: for a smaller world and better living
NC-approximation schemes for NP- and PSPACE-hard problems for geometric graphs
Journal of Algorithms
Approximating geometric coverage problems
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
The Budgeted Unique Coverage Problem and Color-Coding
CSR '09 Proceedings of the Fourth International Computer Science Symposium in Russia on Computer Science - Theory and Applications
Combination Can Be Hard: Approximability of the Unique Coverage Problem
SIAM Journal on Computing
Systems of distant representatives
Discrete Applied Mathematics - Structural decompositions, width parameters, and graph labelings (DAS 5)
The parameterized complexity of the unique coverage problem
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
The complexity of making unique choices: approximating 1-in-k SAT
APPROX'05/RANDOM'05 Proceedings of the 8th international workshop on Approximation, Randomization and Combinatorial Optimization Problems, and Proceedings of the 9th international conference on Randamization and Computation: algorithms and techniques
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We give a polynomial-time approximation scheme for the unique unit-square coverage problem: given a set of points and a set of axis-parallel unit squares, both in the plane, we wish to find a subset of squares that maximizes the number of points contained in exactly one square in the subset. Erlebach and van Leeuwen (2008) introduced this problem as the geometric version of the unique coverage problem, and the best approximation ratio by van Leeuwen (2009) before our work was 2. Our scheme can be generalized to the budgeted unique unit-square coverage problem, in which each point has a profit, each square has a cost, and we wish to maximize the total profit of the uniquely covered points under the condition that the total cost is at most a given bound.