395 research outputs found

    Covering Paths and Trees for Planar Grids

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    Given a set of points in the plane, a covering path is a polygonal path that visits all the points. In this paper we consider covering paths of the vertices of an n x m grid. We show that the minimal number of segments of such a path is 2min(n,m)12\min(n,m)-1 except when we allow crossings and n=m3n=m\ge 3, in which case the minimal number of segments of such a path is 2min(n,m)22\min(n,m)-2, i.e., in this case we can save one segment. In fact we show that these are true even if we consider covering trees instead of paths. These results extend previous works on axis-aligned covering paths of n x m grids and complement the recent study of covering paths for points in general position, in which case the problem becomes significantly harder and is still open

    SOLVING THE 106 YEARS OLD 3^k POINTS PROBLEM WITH THE CLOCKWISE-ALGORITHM

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    In this paper, we present the clockwise-algorithm that solves the extension in -dimensions of the infamous nine-dot problem, the well known two-dimensional thinking outside the box puzzle. We describe a general strategy that constructively produces minimum length covering trails, for any ∈ N−{0}, solving the NP-complete (3×3×⋯×3)-points problem inside a 3×3×⋯×3 hypercube. In particular, using our algorithm, we explicitly draw different covering trails of minimal length h() = (3^ − 1)/2, for = 3, 4, 5. Furthermore, we conjecture that, for every ≥ 1, it is possible to solve the 3^-points problem with h() lines starting from any of the 3^ nodes, except from the central one. Finally, we cover 3×3×3 points with a tree of size 12

    Solving the 106106 years old 3k3^k points problem with the clockwise-algorithm

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    In this paper, we present the clockwise-algorithm that solves the extension in kk-dimensions of the infamous nine-dot problem, the well-known two-dimensional thinking outside the box puzzle. We describe a general strategy that constructively produces minimum length covering trails, for any kN{0}k \in \mathbb{N}-\{0\}, solving the NP-complete (3×3××3)(3 \times 3 \times \cdots \times 3)-point problem inside 3×3××33 \times 3 \times \cdots \times 3 hypercubes. In particular, using our algorithm, we explicitly draw different covering trails of minimal length h(k)=3k12h(k)=\frac{3^k-1}{2}, for k=3,4,5k=3, 4, 5. Furthermore, we conjecture that, for every k1k \geq 1, it is possible to solve the 3k3^k-point problem with h(k)h(k) lines starting from any of the 3k3^k nodes, except from the central one. Finally, we cover a 3×3×33 \times 3 \times 3 grid with a tree of size 1212.Comment: 17 pages, 12 figures. A video animation of the solution from 1 to 4 dimensions can be found on YouTube (https://www.youtube.com/watch?v=SSL9R0hQRKM

    On Euclidean Steiner (1+?)-Spanners

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    Lightness and sparsity are two natural parameters for Euclidean (1+?)-spanners. Classical results show that, when the dimension d ? ? and ? > 0 are constant, every set S of n points in d-space admits an (1+?)-spanners with O(n) edges and weight proportional to that of the Euclidean MST of S. Tight bounds on the dependence on ? > 0 for constant d ? ? have been established only recently. Le and Solomon (FOCS 2019) showed that Steiner points can substantially improve the lightness and sparsity of a (1+?)-spanner. They gave upper bounds of O?(?^{-(d+1)/2}) for the minimum lightness in dimensions d ? 3, and O?(?^{-(d-1))/2}) for the minimum sparsity in d-space for all d ? 1. They obtained lower bounds only in the plane (d = 2). Le and Solomon (ESA 2020) also constructed Steiner (1+?)-spanners of lightness O(?^{-1}log?) in the plane, where ? ? ?(log n) is the spread of S, defined as the ratio between the maximum and minimum distance between a pair of points. In this work, we improve several bounds on the lightness and sparsity of Euclidean Steiner (1+?)-spanners. Using a new geometric analysis, we establish lower bounds of ?(?^{-d/2}) for the lightness and ?(?^{-(d-1)/2}) for the sparsity of such spanners in Euclidean d-space for all d ? 2. We use the geometric insight from our lower bound analysis to construct Steiner (1+?)-spanners of lightness O(?^{-1}log n) for n points in Euclidean plane

    Light Euclidean Steiner Spanners in the Plane

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    Lightness is a fundamental parameter for Euclidean spanners; it is the ratio of the spanner weight to the weight of the minimum spanning tree of a finite set of points in Rd\mathbb{R}^d. In a recent breakthrough, Le and Solomon (2019) established the precise dependencies on ε>0\varepsilon>0 and dNd\in \mathbb{N} of the minimum lightness of (1+ε)(1+\varepsilon)-spanners, and observed that additional Steiner points can substantially improve the lightness. Le and Solomon (2020) constructed Steiner (1+ε)(1+\varepsilon)-spanners of lightness O(ε1logΔ)O(\varepsilon^{-1}\log\Delta) in the plane, where ΔΩ(n)\Delta\geq \Omega(\sqrt{n}) is the \emph{spread} of the point set, defined as the ratio between the maximum and minimum distance between a pair of points. They also constructed spanners of lightness O~(ε(d+1)/2)\tilde{O}(\varepsilon^{-(d+1)/2}) in dimensions d3d\geq 3. Recently, Bhore and T\'{o}th (2020) established a lower bound of Ω(εd/2)\Omega(\varepsilon^{-d/2}) for the lightness of Steiner (1+ε)(1+\varepsilon)-spanners in Rd\mathbb{R}^d, for d2d\ge 2. The central open problem in this area is to close the gap between the lower and upper bounds in all dimensions d2d\geq 2. In this work, we show that for every finite set of points in the plane and every ε>0\varepsilon>0, there exists a Euclidean Steiner (1+ε)(1+\varepsilon)-spanner of lightness O(ε1)O(\varepsilon^{-1}); this matches the lower bound for d=2d=2. We generalize the notion of shallow light trees, which may be of independent interest, and use directional spanners and a modified window partitioning scheme to achieve a tight weight analysis.Comment: 29 pages, 14 figures. A 17-page extended abstract will appear in the Proceedings of the 37th International Symposium on Computational Geometr

    Improved Bounds for Covering Paths and Trees in the Plane

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