10,452 research outputs found

    Solving Hard Computational Problems Efficiently: Asymptotic Parametric Complexity 3-Coloring Algorithm

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    Many practical problems in almost all scientific and technological disciplines have been classified as computationally hard (NP-hard or even NP-complete). In life sciences, combinatorial optimization problems frequently arise in molecular biology, e.g., genome sequencing; global alignment of multiple genomes; identifying siblings or discovery of dysregulated pathways.In almost all of these problems, there is the need for proving a hypothesis about certain property of an object that can be present only when it adopts some particular admissible structure (an NP-certificate) or be absent (no admissible structure), however, none of the standard approaches can discard the hypothesis when no solution can be found, since none can provide a proof that there is no admissible structure. This article presents an algorithm that introduces a novel type of solution method to "efficiently" solve the graph 3-coloring problem; an NP-complete problem. The proposed method provides certificates (proofs) in both cases: present or absent, so it is possible to accept or reject the hypothesis on the basis of a rigorous proof. It provides exact solutions and is polynomial-time (i.e., efficient) however parametric. The only requirement is sufficient computational power, which is controlled by the parameter α∈N\alpha\in\mathbb{N}. Nevertheless, here it is proved that the probability of requiring a value of Ξ±>k\alpha>k to obtain a solution for a random graph decreases exponentially: P(Ξ±>k)≀2βˆ’(k+1)P(\alpha>k) \leq 2^{-(k+1)}, making tractable almost all problem instances. Thorough experimental analyses were performed. The algorithm was tested on random graphs, planar graphs and 4-regular planar graphs. The obtained experimental results are in accordance with the theoretical expected results.Comment: Working pape

    The chromatic index of strongly regular graphs

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    We determine (partly by computer search) the chromatic index (edge-chromatic number) of many strongly regular graphs (SRGs), including the SRGs of degree k≀18k \leq 18 and their complements, the Latin square graphs and their complements, and the triangular graphs and their complements. Moreover, using a recent result of Ferber and Jain it is shown that an SRG of even order nn, which is not the block graph of a Steiner 2-design or its complement, has chromatic index kk, when nn is big enough. Except for the Petersen graph, all investigated connected SRGs of even order have chromatic index equal to their degree, i.e., they are class 1, and we conjecture that this is the case for all connected SRGs of even order.Comment: 10 page

    Approximating the Regular Graphic TSP in near linear time

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    We present a randomized approximation algorithm for computing traveling salesperson tours in undirected regular graphs. Given an nn-vertex, kk-regular graph, the algorithm computes a tour of length at most (1+7ln⁑kβˆ’O(1))n\left(1+\frac{7}{\ln k-O(1)}\right)n, with high probability, in O(nklog⁑k)O(nk \log k) time. This improves upon a recent result by Vishnoi (\cite{Vishnoi12}, FOCS 2012) for the same problem, in terms of both approximation factor, and running time. The key ingredient of our algorithm is a technique that uses edge-coloring algorithms to sample a cycle cover with O(n/log⁑k)O(n/\log k) cycles with high probability, in near linear time. Additionally, we also give a deterministic 32+O(1k)\frac{3}{2}+O\left(\frac{1}{\sqrt{k}}\right) factor approximation algorithm running in time O(nk)O(nk).Comment: 12 page

    Minimum Degrees of Minimal Ramsey Graphs for Almost-Cliques

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    For graphs FF and HH, we say FF is Ramsey for HH if every 22-coloring of the edges of FF contains a monochromatic copy of HH. The graph FF is Ramsey HH-minimal if FF is Ramsey for HH and there is no proper subgraph Fβ€²F' of FF so that Fβ€²F' is Ramsey for HH. Burr, Erdos, and Lovasz defined s(H)s(H) to be the minimum degree of FF over all Ramsey HH-minimal graphs FF. Define Ht,dH_{t,d} to be a graph on t+1t+1 vertices consisting of a complete graph on tt vertices and one additional vertex of degree dd. We show that s(Ht,d)=d2s(H_{t,d})=d^2 for all values 1<d≀t1<d\le t; it was previously known that s(Ht,1)=tβˆ’1s(H_{t,1})=t-1, so it is surprising that s(Ht,2)=4s(H_{t,2})=4 is much smaller. We also make some further progress on some sparser graphs. Fox and Lin observed that s(H)β‰₯2Ξ΄(H)βˆ’1s(H)\ge 2\delta(H)-1 for all graphs HH, where Ξ΄(H)\delta(H) is the minimum degree of HH; Szabo, Zumstein, and Zurcher investigated which graphs have this property and conjectured that all bipartite graphs HH without isolated vertices satisfy s(H)=2Ξ΄(H)βˆ’1s(H)=2\delta(H)-1. Fox, Grinshpun, Liebenau, Person, and Szabo further conjectured that all triangle-free graphs without isolated vertices satisfy this property. We show that dd-regular 33-connected triangle-free graphs HH, with one extra technical constraint, satisfy s(H)=2Ξ΄(H)βˆ’1s(H) = 2\delta(H)-1; the extra constraint is that HH has a vertex vv so that if one removes vv and its neighborhood from HH, the remainder is connected.Comment: 10 pages; 3 figure
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