Finding k points with minimum diameter and related problems
Journal of Algorithms
Rectilinear and polygonal p-piercing and p-center problems
Proceedings of the twelfth annual symposium on Computational geometry
On linear-time deterministic algorithms for optimization problems in fixed dimension
Journal of Algorithms
Linear programming in low dimensions
Handbook of discrete and computational geometry
Enclosing k points in the smallest axis parallel rectangle
Information Processing Letters
Discrete rectilinear 2-center problems
Computational Geometry: Theory and Applications
Covering a set of points by two axis-parallel boxes
Information Processing Letters
Introduction to Algorithms
A Combinatorial Bound for Linear Programming and Related Problems
STACS '92 Proceedings of the 9th Annual Symposium on Theoretical Aspects of Computer Science
Low-Dimensional Linear Programming with Violations
SIAM Journal on Computing
Covering a Point Set by Two Disjoint Rectangles
ISAAC '08 Proceedings of the 19th International Symposium on Algorithms and Computation
Algorithms for optimal outlier removal
Journal of Discrete Algorithms
Covering a set of points in a plane using two parallel rectangles
Information Processing Letters
Smallest k-point enclosing rectangle and square of arbitrary orientation
Information Processing Letters
k-enclosing axis-parallel square
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
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For a set of n points in the plane, we consider the axis-aligned (p,k)-Box Covering problem: Find p axis-aligned, pairwise-disjoint boxes that together contain at least n-k points. In this paper, we consider the boxes to be either squares or rectangles, and we want to minimize the area of the largest box. For general p we show that the problem is NP-hard for both squares and rectangles. For a small, fixed number p, we give algorithms that find the solution in the following running times: For squares we have O(n+klogk) time for p=1, and O(nlogn+k^plog^pk) time for p=2,3. For rectangles we get O(n+k^3) for p=1 and O(nlogn+k^2^+^plog^p^-^1k) time for p=2,3. In all cases, our algorithms use O(n) space.