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On Maximum Empty Rectangle Problem

A. Naamad, +2 more
- 01 Jan 1984 - 
- pp 267-277
TLDR
It is shown that if the points of S are drawn randomly and independently from A , the problem can be solved in O( n (log n ) 2 ) expected time.
About
This article is published in Discrete Applied Mathematics.The article was published on 1984-01-01 and is currently open access. It has received 110 citations till now. The article focuses on the topics: Largest empty rectangle.

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Citations
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Journal ArticleDOI

Computational Geometry—A Survey

TL;DR: The state of the art of computational geometry is surveyed, a discipline that deals with the complexity of geometric problems within the framework of the analysis of algorithms.
Proceedings ArticleDOI

Fast algorithms for computing the largest empty rectangle

TL;DR: The first algorithm for computing the largest-area empty rectangle is optimal within a multiplicative constant and the two algorithms for computing such a rectangle can be modified to compute thelargest-perimeter rectangle in memory space.
Proceedings ArticleDOI

Image segmentation by shape-directed covers

TL;DR: A technique for image segmentation using shape-directed covers is described and applied to the fully automatic analysis of complex printed-page layouts, which for some tasks is superior to strategies currently emphasized in the literature, including bottom-up and top-down.
Journal ArticleDOI

A new algorithm for the largest empty rectangle problem

TL;DR: A new simple algorithm for the so-called largest empty rectangle problem, i.e., the problem of finding a maximum area rectangle contained inA and not containing any point ofS in its interior, is presented.
Proceedings ArticleDOI

Small-size ε-nets for axis-parallel rectangles and boxes

TL;DR: Improved approximation factors are obtained for the hitting set or the set cover problems associated with the corresponding range spaces for ε-nets of size O(1/ε log log log 1/ε) for planar point sets and axis-parallel rectangular ranges.
References
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Journal ArticleDOI

An O(n log n) Algorithm for Rectilinear Minimal Spanning Trees

TL;DR: A mmmaal spammuag tree for P can be derived from a Voronot diagram for P m hnear tmae by using prewously known results.
Journal ArticleDOI

Voronoi Diagrams in L1 (L∞) Metrics with 2-Dimensional Storage Applications

TL;DR: It is shown in this paper that there exists a natural isometry between the L_1 and L_\infty metrics, which implies the existence of a polynomial time algorithm for the OPP in one metric and the existence for the same problem in the other metric.

Generalization of heaps and its applications

Amnon Naamad
TL;DR: A data structure called "generalized heap," which is designed primarily to maintain the solutions of a certain group of problems while the data set is changing over time, is introduced.
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