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Faster Exponential-Time Algorithms in Graphs of Bounded Average Degree

机译:有界平均度图中的更快指数时间算法

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We first show that the Traveling Salesman Problem in an n-vertex graph with average degree bounded by d can be solved in O~★(2~((1-ε_d)n)) time and exponential space for a constant ε_d depending only on d. Thus, we generalize the recent results of Bjoerklund et al. [TALG 2012] on graphs of bounded degree. Then, we move to the problem of counting perfect matchings in a graph. We first present a simple algorithm for counting perfect matchings in an n-vertex graph in O~★(2~(n/2)) time and polynomial space; our algorithm matches the complexity bounds of the algorithm of Bjorklund [SODA 2012], but relies on inclusion-exclusion principle instead of algebraic transformations. Building upon this result, we show that the number of perfect matchings in an n-vertex graph with average degree bounded by d can be computed in O~★(2~((1-ε_(2d))n/2)) time and exponential space, where ε_(2d) is the constant obtained by us for the Traveling Salesman Problem in graphs of average degree at most 2d. Moreover we obtain a simple algorithm that computes a permanent of an n × n matrix over an arbitrary commutative ring with at most dn nonzero entries using O~★(2~((1-1/(3.55d))n)) time and ring operations, improving and simplifying the recent result of Izumi and Wadayama [FOCS 2012].
机译:我们首先表明,平均度为d的n顶点图中的旅行商问题可以在O〜★(2〜(((1-ε_d)n))时间和指数空间中求解,常数ε_d仅取决于d。因此,我们概括了Bjoerklund等人的最新结果。 [TALG 2012]在有界度图上。然后,我们转到在图形中计算完美匹配的问题。我们首先提出一种简单的算法,用于计算O〜★(2〜(n / 2))时间和多项式空间中n个顶点图中的完美匹配;我们的算法与Bjorklund [SODA 2012]算法的复杂度边界相匹配,但是它依赖于包含-排除原理而不是代数变换。基于此结果,我们证明可以在O〜★(2〜(((1-ε_(2_d))n / 2))的时间内计算出平均度为d的n个顶点图的完全匹配数。和指数空间,其中ε_(2d)是我们在平均2度以内的平均度数图中针对旅行商问题获得的常数。此外,我们获得了一种简单的算法,该算法使用O〜★(2〜(((1-1 /(3.55d))n))时间和环操作,改进和简化了Izumi和Wadayama的最新成果[FOCS 2012]。

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