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21.
   Abstract. A flipturn transforms a nonconvex simple polygon into another simple polygon by rotating a concavity 180° around the midpoint of its bounding convex hull edge. Joss and Shannon proved in 1973 that a sequence of flipturns eventually transforms any simple polygon into a convex polygon. This paper describes several new results about such flipturn sequences. We show that any orthogonal polygon is convexified after at most n-5 arbitrary flipturns, or at most
well-chosen flipturns, improving the previously best upper bound of (n-1)!/2 . We also show that any simple polygon can be convexified by at most n 2 -4n+1 flipturns, generalizing earlier results of Ahn et al. These bounds depend critically on how degenerate cases are handled; we carefully explore several possibilities. We prove that computing the longest flipturn sequence for a simple polygon is NP-hard. Finally, we show that although flipturn sequences for the same polygon can have significantly different lengths, the shape and position of the final convex polygon is the same for all sequences and can be computed in O(n log n) time.  相似文献   
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We pose a monotonicity conjecture on the number of pseudo-triangulations of any planar point set, and check it on two prominent families of point sets, namely the so-called double circle and double chain. The latter has asymptotically n12nΘ(1) pointed pseudo-triangulations, which lies significantly above the maximum number of triangulations in a planar point set known so far.  相似文献   
25.
We provide a new lower bound on the number of (≤ k)-edges of a set of n points in the plane in general position. We show that for the number of (≤ k)-edges is at least
which, for , improves the previous best lower bound in [12]. As a main consequence, we obtain a new lower bound on the rectilinear crossing number of the complete graph or, in other words, on the minimum number of convex quadrilaterals determined by n points in the plane in general position. We show that the crossing number is at least
which improves the previous bound of in [12] and approaches the best known upper bound in [4]. The proof is based on a result about the structure of sets attaining the rectilinear crossing number, for which we show that the convex hull is always a triangle. Further implications include improved results for small values of n. We extend the range of known values for the rectilinear crossing number, namely by and . Moreover, we provide improved upper bounds on the maximum number of halving edges a point set can have.  相似文献   
26.
We introduce the concept of pre-triangulations, a relaxation of triangulations that goes beyond the frequently used concept of pseudo-triangulations. Pre-triangulations turn out to be more natural than pseudo-triangulations in certain cases. We show that pre-triangulations arise in three different contexts: In the characterization of polygonal complexes that are liftable to three-space in a strong sense, in flip sequences for general polygonal complexes, and as graphs of maximal locally convex functions. Research supported by the FWF Joint Research Project ‘Industrial Geometry’ S9205-N12.  相似文献   
27.
Gray Code Enumeration of Plane Straight-Line Graphs   总被引:2,自引:0,他引:2  
We develop Gray code enumeration schemes for geometric straight-line graphs in the plane. The considered graph classes include plane graphs, connected plane graphs, and plane spanning trees. Previous results were restricted to the case where the underlying vertex set is in convex position. Research supported by the FWF Joint Research Project Industrial Geometry S9205-N12 and Projects MCYT-FEDER BFM2003-00368 and Gen. Cat 2005SGR00692.  相似文献   
28.
Aichholzer  Oswin  Aurenhammer  Franz  Krasser  Hannes 《Order》2002,19(3):265-281
Order types are a means to characterize the combinatorial properties of a finite point configuration. In particular, the crossing properties of all straight-line segments spanned by a planar n-point set are reflected by its order type. We establish a complete and reliable data base for all possible order types of size n=10 or less. The data base includes a realizing point set for each order type in small integer grid representation. To our knowledge, no such project has been carried out before.We substantiate the usefulness of our data base by applying it to several problems in computational and combinatorial geometry. Problems concerning triangulations, simple polygonalizations, complete geometric graphs, and k-sets are addressed. This list of applications is not meant to be exhaustive. We believe our data base to be of value to many researchers who wish to examine their conjectures on small point configurations.  相似文献   
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In this paper we present two different results dealing with the number of (≤k)-facets of a set of points:
1. We give structural properties of sets in the plane that achieve the optimal lower bound of (≤k)-edges for a fixed 0≤kn/3−1; and
2. we show that, for k<n/(d+1), the number of (≤k)-facets of a set of n points in general position in is at least , and that this bound is tight in the given range of k.

Article Outline

1. Introduction
2. Optimal sets for (≤k)-edge vectors
3. A lower bound for (≤k)-facets in
4. Conclusions and open problems
Acknowledgements
References

1. Introduction

In this paper we deal with the problem of giving lower bounds to the number of (≤k)-facets of a set of points S. An oriented simplex with vertices at points of S is said to be a k-facet of S if it has exactly k points in the positive side of its affine hull. Similarly, the simplex is said to be an (≤k)-facet if it has at most k points in the positive side of its affine hull. If , a k-facet of S is usually named a k-edge.The number of k-facets of S is denoted by ek(S), and is the number of (≤k)-facets (the set S will be omitted when it is clear from the context). Giving bounds on these quantities, and on the number of the companion concept of k-sets, is one of the central problems in Discrete and Computational Geometry, and has a long history that we will not try to summarize here. Chapter 8.3 in [4] is a complete and up to date survey of results and open problems in the area.Regarding lower bounds for Ek(S), which is the main topic of this paper, the problem was first studied by Edelsbrunner et al. [6] due to its connections with the complexity of higher order Voronoi diagrams. In that paper it was stated that, in ,
(1)
and there was given an example showing tightness for 0≤kn/3−1. The proof used circular sequences but, unfortunately, contained an unpluggable gap, as pointed out by Lovász et al. [8]. A correct proof, also using circular sequences, was independently found by Ábrego and Fernández-Merchant [1] and Lovász et al. [8]. In both papers a strong connection was discovered between the number of (≤k)-edges and the number of convex quadrilaterals in a point set S. Specifically, if (S) denotes the number of convex quadrilaterals in S, in [8] it was shown that
(2)
where
Giving lower bounds for (S) is in turn equivalent to determining the rectilinear crossing number of the complete graph: if we draw Kn on top of a set of points S, then the number of intersections in the drawing is exactly the number of convex quadrilaterals in S. The interested reader can go through the extensive online bibliography by Vrt’o [9], where the focus is on the problem of crossing numbers of graphs.The lower bound in Eq. (1) was slightly improved for by Balogh and Salazar [3], again using circular sequences. Using different techniques, and based on the observation that it suffices to prove the bound for sets with triangular convex hull, we have recently shown [2] that, in ,
(3)
If n is divisible by 3, this expression can be written as
In this paper we deal with two different problems related to lower bounds for Ek. In Section 2, we study the structural properties of those sets in  that achieve the lower bound in Eq. (1) for a fixed 0≤kn/3−1. The main result of this section is that, if Ek(S) is minimum for a given k, then Ej(S) is also minimum for every 0≤j<k. In Section 3 we study the d-dimensional version of the problem and show that, for a set of n points in general position in ,
(4)
and that this bound is tight in that range. To the best of our knowledge, this is the first result of this kind in .

2. Optimal sets for (≤k)-edge vectors

Given , let us denote by  the set of all (≤k)-edges of S; hence Ek(S) is the cardinality of . Throughout this section we consider . Recall that for a fixed such k, Ek(S) is optimal if . Recall also that, by definition, a j-edge has exactly j points of S in the positive side of its affine hull, which in this case is the open half-plane to the right of its supporting line.We start by giving a new, simple, and self-contained proof of the bound in Eq. (1), using a new technique which will be useful in the rest of the section. Although in this section they will be used in , the following notions are presented in  for the sake of generality and in view of Section 3.Definition 1 [7] Let S be a set of n points and a family of sets in . A subset NS is called an -net of S (with respect to ) if for every such that |HS|>n we have that HN≠.Definition 2 A simplicial -net of is a set of d+1 vertices of the convex hull of S that are an -net of S with respect to closed half-spaces. A simplicial -net will be called a simplicial half-net.Lemma 3 Every set of n points has a simplicial half-net.Proof Let T be a triangle spanned by three vertices of the convex hull of S. An edge e of T is called good if the closed half-plane of its supporting line which contains the third vertex of T contains at least points from S. T is called good if it consists of three good edges. Clearly, the vertices of a good triangle T are a simplicial half-net of S; the vertices of T being of the convex hull implies that the intersection of S with a half-plane not containing any vertex of T lies in the complement of some of the three half-planes defined by the good edges.Let T be an arbitrary triangle spanned by vertices of the convex hull of S and assume that T is not good. Then observe that only one edge e of T is not good and let v be the vertex of T not incident to e. Choose a point v of the convex hull of S opposite to v with respect to e. Then e and v induce a triangle T in which e is a good edge. If T is a good triangle we are done. Otherwise we iterate this process. As the cardinalities of the subsets of vertices of S considered are strictly decreasing (the subsets being restricted by the half-plane induced by e), the process terminates with a good triangle. □Theorem 4 For every set S of n points and we have .Proof The proof goes by induction on n. From Lemma 3, we can guarantee the existence of T={a,b,c}S, an -net made up with vertices of the convex hull.Let S=ST and consider an edge . We observe that T cannot be to the right of e: there are at least points on the closed half-plane to the left of e and that would contradict the definition of -net. Therefore, .If we denote by the set of (≤k)-edges of S incident to points in T, we have that
(5)
There are 2(k+1)(≤k)-edges incident to each of the convex hull vertices a,b,c (which can be obtained rotating a ray based on that vertex). We observe that at most three edges of might be incident to two points of T (those of the triangle T) and that the union in Eq. (5) is disjoint. Therefore, using the induction hypothesis we have
(6)
 □Corollary 5 Let S be a set of n points, T={a,b,c} a simplicial half-net of S , and S=ST . If , then:
(a) .
(b) A k-edge of S is either a (k−2)-edge of S or is incident to a point in T .
Proof If , both inequalities in Eq. (6) are tight. Therefore , and Eq. (5) becomes (disjoint union), which trivially implies part (b). □Theorem 6 If , then S has a triangular convex hull.Proof We prove the statement by induction over k. For k=0 nothing has to be proven, so let k=1, assume that E1=9, and let h=|CH(S)|. We have h 0-edges and at least h 1-edges (two per convex hull vertex, but each edge might be counted twice). Thus E1=9≥2h, and therefore h≤4. Assume now h=4. Then at most two 1-edges can be counted twice, namely the two diagonals of the convex hull. Thus we have 4+8−2=10(≤1)-edges, and we conclude that, if E1=9, then S has a triangular convex hull.For the general case, consider k≥2, let T={a,b,c} be the simplicial half-net guaranteed by Lemma 3, and let S=ST. From Corollary 5, part (a), we know that and, by induction, we may assume that S has a triangular convex hull. Moreover, from part (b), no (k−1)-edge of S can be an (≤k)-edge of S and, therefore, any (k−1)-edge of S must have two vertices of T on its positive side. Consider the six (k−1)-edges of S incident to the three convex hull vertices of S: see Fig. 1, where the supporting lines of these (k−1)-edges are drawn as dashed lines and S is depicted as the central triangle. Each cell outside S in the arrangement of the supporting lines contains a number counting the (k−1)-edges considered which have that cell on their positive side. A simple counting argument shows that the only way of placing the three vertices a,b,c of T such that each (k−1)-edge of S drawn has two of them on its positive side is to place one in each cell labeled with a 4. We conclude that no vertex of S can be on the convex hull of S, and the theorem follows. □  相似文献   
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