2015
DOI: 10.1007/s00454-015-9701-2
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Multilevel Polynomial Partitions and Simplified Range Searching

Abstract: The polynomial partitioning method of Guth and Katz [arXiv:1011.4105] has numerous applications in discrete and computational geometry. It partitions a given n-point set P ⊂ R d using the zero set Z(f ) of a suitable d-variate polynomial f . Applications of this result are often complicated by the problem, what should be done with the points of P lying within Z(f )? A natural approach is to partition these points with another polynomial and continue further in a similar manner. So far it has been pursued with … Show more

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Cited by 34 publications
(49 citation statements)
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“…These results have found applications in discrete geometry, for proving incidence bounds [11], as well as in effcient range-searching [20]. 1.…”
mentioning
confidence: 95%
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“…These results have found applications in discrete geometry, for proving incidence bounds [11], as well as in effcient range-searching [20]. 1.…”
mentioning
confidence: 95%
“…As such they all depend on the maximum of the degrees of the polynomials used to define the given set or sign conditions. More recently, a new application of the bounds described above in discrete and computational geometry, triggered by the work of Guth and Katz [16], raised the question whether even the part of the bound in Theorem 1 that depends only on the degree d could have a finer dependence on the degrees of the polynomials in P and Q, in the case when the degrees of the polynomials in Q and those in P differ significantly (see [16,26,18,17,30,20]). This is one of the primary motivations behind the results proved in the current paper (see Section 1.2 below for more detail).…”
mentioning
confidence: 99%
“…In the latter, we rely on the concept of polynomial partitioning (as introduced by Guth and Katz [20]) and combine it with a technique that relies on Hilbert polynomials. Recently, similar polynomial partitioning techniques were also studied by Matoušek and Safernová [32] and Basu and Sombra [6]. However, each of the three papers presents different proofs and very different results.…”
Section: Introductionmentioning
confidence: 99%
“…The following multi-level partitioning theorem is closely related to the partitioning theorem of Matoušek and Patáková [16]. However, the partitioning theorem in [16] is for points and hypersurfaces, while the present partitioning theorem exploits the fact that the varieties we wish to partition have the special intersection properties described in Lemma 5.8. This allows us to obtain a stronger result.…”
Section: Partitioning Points and Circles In Dual Spacementioning
confidence: 94%