An Analysis on Computation of Longest Common Subsequence Algorithm

被引:0
作者
Kawade, Gaurav [1 ]
Sahu, Santosh [1 ]
Upadhye, Sachin [1 ]
Korde, Nilesh [1 ]
Motghare, Manish [1 ]
机构
[1] Shri Ramdeobaba Coll Engn & Management, Dept Comp Applicat, Nagpur, Maharashtra, India
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017) | 2017年
关键词
Longest common subsequence; Dynamic Programming; Memory Management; Time complexity; Space complexity;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are many algorithms for computing the longest common subsequence, which are especially used in comparing files, text, comparison of DNA and protein sequences. In this paper we had done comparison among various algorithms which works on two or more strings. In our second approach we had done comparison of algorithms which is able to work on thousands of strings. As per the latest condition there are very few algorithm which works on multiple strings. The spotlight is on development of algorithm which is space efficient and reduced time complexity. In conclusion of the work we put the new proposals for the development of new algorithms for more strings.
引用
收藏
页码:982 / 987
页数:6
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