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arXiv math/0702039math.CO
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0,1矩阵积式的确定性近似算法

A Deterministic Approximation Algorithm for Computing a Permanent of a 0,1 matrix

David Gamarnik, Dmitriy Katz

摘要:

我们构造了一个确定性的近似算法,用于计算一个$0,1$ $n$的永久的$n$矩阵内的一个乘法因子$(1+ε)^n$,对于任意的$ε>0$。当矩阵下的图是一个常数度扩展器时,我们的算法在多项式时间(PTAS)内运行。在一般情况下,算法的运行时间是$\exp(O(n^{2\over 3}\log^3n))$。对于一类图是常数度扩张的第一个结果是一个改进的最佳已知的逼近因子$e^n$在\cite{LinialSamorodnitskyWigderson}。我们的结果使用最近开发的确定性近似算法计算图Bayati等人的部分匹配,和Jerrum-Vazirani分解方法。

英文摘要:

We construct a deterministic approximation algorithm for computing a permanent of a $0,1$ $n$ by $n$ matrix to within a multiplicative factor $(1+ε)^n$, for arbitrary $ε>0$. When the graph underlying the matrix is a constant degree expander our algorithm runs in polynomial time (PTAS). In the general case the running time of the algorithm is $\exp(O(n^{2\over 3}\log^3n))$. For the class of graphs which are constant degree expanders the first result is an improvement over the best known approximation factor $e^n$ obtained in \cite{LinialSamorodnitskyWigderson}. Our results use a recently developed deterministic approximation algorithm for counting partial matchings of a graph Bayati et al., and Jerrum-Vazirani decomposition method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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