Common Subsequence
|
Time Limit: 1000MS |
|
Memory Limit: 10000K |
|
Total Submissions: 20435 |
|
Accepted: 7752 |
Description
A subsequence of a given sequence is the given sequence with some elements (possible none) left out. Given a sequence X = < x1, x2, ..., xm > another sequence Z = < z1, z2, ..., zk > is a subsequence of X if there exists a strictly increasing sequence < i1, i2, ..., ik > of indices of X such that for all j = 1,2,...,k, xij = zj. For example, Z = < a, b, f, c > is a subsequence of X = < a, b, c, f, b, c > with index sequence < 1, 2, 4, 6 >. Given two sequences X and Y the problem is to find the length of the maximum-length common subsequence of X and Y.
Input
The program input is from the std input. Each data set in the input contains two strings representing the given sequences. The sequences are separated by any number of white spaces. The input data are correct.
Output
For each set of data the program prints on the standard output the length of the maximum-length common subsequence from the beginning of a separate line.
Sample Input
abcfbc abfcab
programming contest
abcd mnp
Sample Output
4
2
0
DP 的经典应用 : 求最长公共字串 .
转移方程 : (res[i][j]: 表示 stringa 的前 i 个字符和 stringb 的前 j 个字符的最长公共字串长度 )
res[i][j]=0 (i==0||j==0)
res[i][j]=res[i-1][j-1]+1 (stringa[i]==stringb[j])
res[i][j]=max(res[i][j-1],res[i-1][j]) (stringa[i]!=stringb[j])
代码如下 :

本文深入探讨了求最长公共子序列的算法实现,通过转移方程解析了问题解决过程,提供了具体代码实现并展示了实例分析。
9275

被折叠的 条评论
为什么被折叠?



