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Approximation Algorithms for the Consecutive Ones Submatrix Problem on Sparse Matrices

机译:稀疏矩阵上连续一个子矩阵问题的逼近算法

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A 0-1 matrix has the Consecutive Ones Property (C1P) if there is a permutation of its columns that leaves the 1 's consecutive in each row. The Consecutive Ones Submatrix (COS) problem is, given a 0-1 matrix A, to find the largest number of columns of A that form a submatrix with the C1P property. Such a problem has potential applications in physical mapping with hybridization data. This paper proves that the COS problem remains NP-hard for ⅰ) (2, 3)-matrices with at most two 1's in each column and at most three 1's in each row and for ⅱ) (3, 2)-matrices with at most three 1's in each column and at most two 1's in each row. This solves an open problem posed in a recent paper of Hajiahayi and Ganjali. We further prove that the COS problem is 0.8-approximatable for (2, 3)-matrices and 0.5-approximatable for the matrices in which each column contains at most two 1's and for (3,2)-matrices.
机译:如果0-1矩阵的列存在置换,而在每一行中都保留1的连续数,则0-1矩阵具有连续的一个(C1P)属性。在给定0-1矩阵A的情况下,连续一个子矩阵(COS)问题可以找到形成具有C1P属性的子矩阵的A的最大列数。这样的问题在与杂交数据的物理映射中具有潜在的应用。本文证明COS问题对于ⅰ)(2,3)矩阵在每一列中最多具有两个1并且在每行中最多三个3在矩阵中对于ⅱ)(3,2)矩阵仍然在NP-困难每列最多三个1,每行最多两个1。这解决了Hajiahayi和Ganjali最近的论文中提出的一个开放性问题。我们进一步证明,对于(2,3)矩阵,COS问题是0.8近似的,对于每列最多包含两个1的矩阵,对于(3,2)矩阵,COS问题是0.5近似的。

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