An Improved Linear Kernal for Complementary Maximal Strip Recovery: Simpler and Smaller
An Improved Linear Kernal for Complementary Maximal Strip Recovery: Simpler and Smaller
复制标题
用于互补最大条带恢复的改进线性内核:更简单、更小
DOI:
10.1016/j.tcs.2018.04.020
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发表时间:
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影响因子:
1.1
通讯作者:
Yongjie Yang
中科院分区:
文献类型:
--
作者:
Wenjun Li;Haiyan Liu;Jianxin Wang;Lingyun Xiang;Yongjie Yang
Abstract We study the Complementary Maximal Strip Recovery problem (CMSR), where the given are two strings S 1 and S 2 of distinct letters, each of which appears either in the positive form or the negative form. The question is whether there are k letters whose deletion results in two matched strings. String S 1 matches string S 2 if there are partitions of S 1 and S 2 such that each component of the partitions contains at least two letters and, moreover, for each component S 1 i of the partition of S 1, there is a unique component S 2 j in the partition of S 2 which is either equal to S 1 i or can be obtained from S 1 i by firstly reversing the order of the letters and then negating the letters. The CMSR problem is known to be NP-hard and fixed-parameter tractable with respect to k. In particular, a linear kernel of size 74 k+ 4 was developed based on 8 reduction rules. Very recently, by imposing 3 new reduction rules to the previous kernelization, the linear kernel has been improved to 58k. We aim to simplify the kernelization, yet obtain an improved kernel. In particular, we study 7 reduction rules which lead to a linear kernel of size 42 k+ 24.