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Open AccessJournal ArticleDOI

ź-nets and simplex range queries

TLDR
The concept of an ɛ-net of a set of points for an abstract set of ranges is introduced and sufficient conditions that a random sample is an Â-net with any desired probability are given.
Abstract
We demonstrate the existence of data structures for half-space and simplex range queries on finite point sets ind-dimensional space,dÂ?2, with linear storage andO(nÂ?) query time, $$\alpha = \frac{{d(d - 1)}}{{d(d - 1) + 1}} + \gamma for all \gamma > 0$$ . These bounds are better than those previously published for alldÂ?2. Based on ideas due to Vapnik and Chervonenkis, we introduce the concept of an Â?-net of a set of points for an abstract set of ranges and give sufficient conditions that a random sample is an Â?-net with any desired probability. Using these results, we demonstrate how random samples can be used to build a partition-tree structure that achieves the above query time.

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Book ChapterDOI

Intersection Queries in Sets of Disks

TL;DR: New data structures for storing sets of disks such that different types of queries can be answered efficiently are developed, including intersection queries with lines and line segments and shooting queries.
Book ChapterDOI

Recent Developments in the Theory of Arrangements of Surfaces

TL;DR: Applications of the new results of the study of arrangements of surfaces in higher dimensions to a variety of problems in computational geometry and its applications, including motion planning, Voronoi diagrams, union of geometric objects, visibility, and geometric optimization are presented.

Range Searching: Emptiness, Reporting, and Approximate Counting

TL;DR: In this paper, the authors introduce their children Noa, Yael and Omer, who taught the joy of approximate counting to their mother Iris, with much love and joy.
Proceedings ArticleDOI

A size-sensitive discrepancy bound for set systems of bounded primal shatter dimension

TL;DR: In this paper, Lovett and Meka showed that there exists a coloring χ with discrepancy bound O(|S|1/2-d1/(2d)n(d1-1)/(2d)), where O*(·) hides a polylogarithmic factor in n.
Book ChapterDOI

CHAPTER 7 – Computational Geometry

TL;DR: The fastest known algorithm for triangulating a simple polygon requires 0 (n log n) time, while no nonlinear lower bound to this problem is known as discussed by the authors. But the problem of testing whether n points in the plane are in general position has an upper bound of 0(n2) and a lower bound of Ω(n log N).
References
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Book ChapterDOI

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

TL;DR: This chapter reproduces the English translation by B. Seckler of the paper by Vapnik and Chervonenkis in which they gave proofs for the innovative results they had obtained in a draft form in July 1966 and announced in 1968 in their note in Soviet Mathematics Doklady.
Book

Algorithms in Combinatorial Geometry

TL;DR: This book offers a modern approach to computational geo- metry, an area thatstudies the computational complexity of geometric problems with an important role in this study.
Journal ArticleDOI

On the density of families of sets

TL;DR: This paper will answer the question in the affirmative by determining the exact upper bound of T if T is a family of subsets of some infinite set S then either there exists to each number n a set A ⊂ S with |A| = n such that |T ∩ A| = 2n or there exists some number N such that •A| c for each A⩾ N and some constant c.
Journal ArticleDOI

Central Limit Theorems for Empirical Measures

TL;DR: In this article, the convergence of a stochastic process indexed by a Gaussian process to a certain Gaussian processes indexed by the supremum norm was studied in a Donsker class.
Journal ArticleDOI

The power of geometric duality

TL;DR: A new formulation of the notion of duality that allows the unified treatment of a number of geometric problems is used, to solve two long-standing problems of computational geometry and to obtain a quadratic algorithm for computing the minimum-area triangle with vertices chosen amongn points in the plane.