1,412 research outputs found

    An ETH-Tight Exact Algorithm for Euclidean TSP

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    We study exact algorithms for {\sc Euclidean TSP} in Rd\mathbb{R}^d. In the early 1990s algorithms with nO(n)n^{O(\sqrt{n})} running time were presented for the planar case, and some years later an algorithm with nO(n1−1/d)n^{O(n^{1-1/d})} running time was presented for any d≥2d\geq 2. Despite significant interest in subexponential exact algorithms over the past decade, there has been no progress on {\sc Euclidean TSP}, except for a lower bound stating that the problem admits no 2O(n1−1/d−ϵ)2^{O(n^{1-1/d-\epsilon})} algorithm unless ETH fails. Up to constant factors in the exponent, we settle the complexity of {\sc Euclidean TSP} by giving a 2O(n1−1/d)2^{O(n^{1-1/d})} algorithm and by showing that a 2o(n1−1/d)2^{o(n^{1-1/d})} algorithm does not exist unless ETH fails.Comment: To appear in FOCS 201

    Parity balance of the ii-th dimension edges in Hamiltonian cycles of the hypercube

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    Let n≥2n\geq 2 be an integer, and let i∈{0,...,n−1}i\in\{0,...,n-1\}. An ii-th dimension edge in the nn-dimensional hypercube QnQ_n is an edge v1v2{v_1}{v_2} such that v1,v2v_1,v_2 differ just at their ii-th entries. The parity of an ii-th dimension edge \edg{v_1}{v_2} is the number of 1's modulus 2 of any of its vertex ignoring the ii-th entry. We prove that the number of ii-th dimension edges appearing in a given Hamiltonian cycle of QnQ_n with parity zero coincides with the number of edges with parity one. As an application of this result it is introduced and explored the conjecture of the inscribed squares in Hamiltonian cycles of the hypercube: Any Hamiltonian cycle in QnQ_n contains two opposite edges in a 4-cycle. We prove this conjecture for n≤7n \le 7, and for any Hamiltonian cycle containing more than 2n−22^{n-2} edges in the same dimension. This bound is finally improved considering the equi-independence number of Qn−1Q_{n-1}, which is a concept introduced in this paper for bipartite graphs

    Architectural Considerations for a Self-Configuring Routing Scheme for Spontaneous Networks

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    Decoupling the permanent identifier of a node from the node's topology-dependent address is a promising approach toward completely scalable self-organizing networks. A group of proposals that have adopted such an approach use the same structure to: address nodes, perform routing, and implement location service. In this way, the consistency of the routing protocol relies on the coherent sharing of the addressing space among all nodes in the network. Such proposals use a logical tree-like structure where routes in this space correspond to routes in the physical level. The advantage of tree-like spaces is that it allows for simple address assignment and management. Nevertheless, it has low route selection flexibility, which results in low routing performance and poor resilience to failures. In this paper, we propose to increase the number of paths using incomplete hypercubes. The design of more complex structures, like multi-dimensional Cartesian spaces, improves the resilience and routing performance due to the flexibility in route selection. We present a framework for using hypercubes to implement indirect routing. This framework allows to give a solution adapted to the dynamics of the network, providing a proactive and reactive routing protocols, our major contributions. We show that, contrary to traditional approaches, our proposal supports more dynamic networks and is more robust to node failures

    Embedding multidimensional grids into optimal hypercubes

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    Let GG and HH be graphs, with ∣V(H)∣≥∣V(G)∣|V(H)|\geq |V(G)| , and f:V(G)→V(H)f:V(G)\rightarrow V(H) a one to one map of their vertices. Let dilation(f)=max{distH(f(x),f(y)):xy∈E(G)}dilation(f) = max\{ dist_{H}(f(x),f(y)): xy\in E(G) \}, where distH(v,w)dist_{H}(v,w) is the distance between vertices vv and ww of HH. Now let B(G,H)B(G,H) = minf{dilation(f)}min_{f}\{ dilation(f) \}, over all such maps ff. The parameter B(G,H)B(G,H) is a generalization of the classic and well studied "bandwidth" of GG, defined as B(G,P(n))B(G,P(n)), where P(n)P(n) is the path on nn points and n=∣V(G)∣n = |V(G)|. Let [a1×a2×⋯×ak][a_{1}\times a_{2}\times \cdots \times a_{k} ] be the kk-dimensional grid graph with integer values 11 through aia_{i} in the ii'th coordinate. In this paper, we study B(G,H)B(G,H) in the case when G=[a1×a2×⋯×ak]G = [a_{1}\times a_{2}\times \cdots \times a_{k} ] and HH is the hypercube QnQ_{n} of dimension n=⌈log2(∣V(G)∣)⌉n = \lceil log_{2}(|V(G)|) \rceil, the hypercube of smallest dimension having at least as many points as GG. Our main result is that B([a1×a2×⋯×ak],Qn)≤3k,B( [a_{1}\times a_{2}\times \cdots \times a_{k} ],Q_{n}) \le 3k, provided ai≥222a_{i} \geq 2^{22} for each 1≤i≤k1\le i\le k. For such GG, the bound 3k3k improves on the previous best upper bound 4k+O(1)4k+O(1). Our methods include an application of Knuth's result on two-way rounding and of the existence of spanning regular cyclic caterpillars in the hypercube.Comment: 47 pages, 8 figure
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