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北美退伍军人节(Veterans Day),12 日无更新
arXiv 1503.08876math.CO
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覆盖数组的渐近大小:熵压缩的一个应用

Asymptotic size of covering arrays: an application of entropy compression

Nevena Francetić, Brett Stevens

摘要:

覆盖数组$CA(N; t,k,v)$是一个$N \times k$数组$A$,它的每个单元取一个称为字母表的$v$集$V$的值。此外,集合$V^t$包含在$A$的每个$N \times t$子阵列的行的集合中。参数$N$称为数组的大小,$CAN(t,k,v)$表示存在$CA(N; t,k,v)$的最小$N$。众所周知,$CAN(t,k,v) = {\rm Θ}(\log_2 k)$ ~ \cite{godbole_bounds_1996}。在本文中,我们推导出两个上界$d(t,v)=\limsup_{k \rightarrow \infty} \frac{CAN(t,k,v)}{\log_2 k}$使用的算法方法的Lovász局部引理也被称为熵压缩。

英文摘要:

A covering array $CA(N; t,k,v)$ is an $N \times k$ array $A$ whose each cell takes a value for a $v$-set $V$ called an alphabet. Moreover, the set $V^t$ is contained in the set of rows of every $N \times t$ subarray of $A$. The parameter $N$ is called the size of an array and $CAN(t,k,v)$ denotes the smallest $N$ for which a $CA(N; t,k,v)$ exists. It is well known that $CAN(t,k,v) = {\rm Θ}(\log_2 k)$~\cite{godbole_bounds_1996}. In this paper we derive two upper bounds on $d(t,v)=\limsup_{k \rightarrow \infty} \frac{CAN(t,k,v)}{\log_2 k}$ using the algorithmic approach to the Lovász local lemma also known as entropy compression.

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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