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poj1458 dp入门
Common Subsequence
Time Limit: 1000MS | Memory Limit: 10000K | |
Total Submissions: 37551 | Accepted: 15023 |
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 abfcabprogramming contest abcd mnp
Sample Output
420
Source
Southeastern Europe 2003
入门dp,主要是理解动归的思考方式,把串变断,比如先确定两个串从头开始的第一个字符相同和不相同两种状态下对后面有什么影响,然后想想怎么描述两个串公共子序列这个状态,我们这里Maxsum[i][j]表示(0~i)和(0~j)两个串当前情况下最长公共子序列的长度,考虑最小子问题情况,第一个字符相同,则Maxsum[i+1][j+1] = Maxsum[i][j]+1;
考虑初始状态,很容易想到,Maxsum[0][len1]和Maxsum[len2][0]是不可能有公共子序列的,为0,。
Maxsum(i,j)不会比Maxsum(i,j-1)
和Maxsum(i-1,j)两者之中任何一个小,也不会比两者都大。
1 #include <iostream> 2 #include <cstdio> 3 using namespace std; 4 5 int main() 6 { 7 char str1[1001],str2[1001]; 8 while(scanf("%s%s",str1,str2)!=EOF) 9 {10 int len1 = strlen(str1);11 int len2 = strlen(str2);12 int Maxsum[1001][1001]; //Maxsum[i][j] ,i表示长度为i的串一,j表示长度为j的串二,Maxsum[i][j]两串最大公共子序列13 for(int i=0;i<len1;i++)14 {15 Maxsum[i][0] = 0;16 }17 for(int j=0;j<len2;j++)18 {19 Maxsum[j][0] = 0;20 }21 22 for(int i=0;i<len1;i++)23 for(int j=0;j<len2;j++)24 if(str1[i]==str2[j])25 Maxsum[i+1][j+1] = Maxsum[i][j] +1;26 else{27 Maxsum[i+1][j+1] = max(Maxsum[i][j+1],Maxsum[i+1][j]);28 }29 printf("%d\n",Maxsum[len1][len2]);30 }31 return 0;32 }
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