最长公共子序列(Longest common subsequence)

时间:2021-09-05 06:50:57

问题描述:

给定两个序列 X=<x1, x2, ..., xm>, Y<y1, y2, ..., yn>,求X和Y长度最长的公共子序列。(子序列中的字符不要求连续)

这道题可以用动态规划解决。定义c[i, j]表示Xi和Yj的LCS的长度,可得如下公式:

最长公共子序列(Longest common subsequence)

伪代码如下:

最长公共子序列(Longest common subsequence)

C++实现:

int longestCommonSubsequence(string x, string y)
{
int m = x.length();
int n = y.length();
vector< vector<int> > c(m + , vector<int>(n + )); for (int i = 0; i <= m; ++i)
c[i][] = ;
for (int j = 1; j <= n; ++j)
c[][j] = ;
for (int i = ; i <= m; ++i)
{
for (int j = ; j <= n; ++j)
{
if (x[i-] == y[j-])
c[i][j] = c[i-][j-] + ;
else if (c[i-][j] >= c[i][j-])
c[i][j] = c[i-][j];
else
c[i][j] = c[i][j-];
}
}
return c[m][n];
}

后记:

我本来以为我已经掌握了LCS,其实不过是记住了LCS的状态转移方程。15号参加了创新工场2016校园招聘笔试,题目要求打印出LCS,我就懵逼了。其实《算法导论》里讲的清清楚楚啊。

最长公共子序列(Longest common subsequence)

贴一下我的C++实现:

vector< vector<int> > b;    //辅助数组
void LCS(string x, string y)
{
int m = x.length();
int n = y.length(); vector< vector<int> > c(m + , vector<int>(n + ));
for (int i = ; i <= m; ++i)
c[i][] = ;
for (int j = ; j <= n; ++j)
c[][j] = ; b.resize(m+);
for (int i = ; i <= m; i++)
{
b[i].resize(n+);
}
for (int i = ; i <= m; i++)
for (int j = ; j <= n; j++)
{
b[i][j] = ;
} for (int i = ; i <= m; ++i)
{
for (int j = ; j <= n; ++j)
{
if (x[i-] == y[j-])
{
c[i][j] = c[i-][j-] + ;
b[i][j] = ; //
}
else if (c[i-][j] >= c[i][j-])
{
c[i][j] = c[i-][j];
b[i][j] = ; //
}
else
{
c[i][j] = c[i][j-];
b[i][j] = ; //
}
}
} } void printLCS(vector< vector<int> > &b, string x, int i, int j)
{
if (i == || j == )
return ;
if (b[i][j] == )
{
printLCS(b, x, i-, j-);
printf("%c", x[i-]);
}
else if (b[i][j] == )
printLCS(b, x, i-, j);
else
printLCS(b, x, i, j-); }

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