Computing the largest empty rectangle
SIAM Journal on Computing
Fast algorithms for computing the largest empty rectangle
SCG '87 Proceedings of the third annual symposium on Computational geometry
Erratum: generalized selection and ranking: sorted matrices
SIAM Journal on Computing
New upper bounds in Klee's measure problem
SIAM Journal on Computing
Journal of Computer and System Sciences
An efficient algorithm for computing the maximum empty rectangle in three dimensions
Information Sciences—Applications: An International Journal
The Maximum Box Problem and its Application to Data Analysis
Computational Optimization and Applications
Mining for empty spaces in large data sets
Theoretical Computer Science - Database theory
Computing the volume of the union of cubes
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
On Approximating the Depth and Related Problems
SIAM Journal on Computing
The complexity of geometric problems in high dimension
TAMC'10 Proceedings of the 7th annual conference on Theory and Applications of Models of Computation
Hardness of discrepancy computation and ε-net verification in high dimension
Journal of Complexity
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Computational Geometry: Theory and Applications
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The maximum empty rectangle problem is as follows: Given a set of red points in ℝd and an axis-aligned hyperrectangle B, find an axis-aligned hyperrectangle R of greatest volume that is contained in B and contains no red points. In addition to this problem, we also consider three natural variants: where we find a hypercube instead of a hyperrectangle, where we try to contain as many blue points as possible instead of maximising volume, and where we do both. Combining the results of this paper with previous results, we now know that all four of these problems (a) are NP-complete if d is part of the input, (b) have polynomial-time sweep-plane solutions for any fixed d≥3, and (c) have near linear time solutions in two dimensions.