C++ · Solution

Longest Common Subsequent

This C++ solution uses dynamic programming for Longest Common Subsequent. Read the reasoning, inspect the code, or try your own test case below.

Dynamic programmingC++25 lines
Solution130of 248
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Approach

Dynamic programming

Longest Common Subsequent: define a two-dimensional state for partial prefixes or choices, fill states from smaller subproblems, and reconstruct or read the requested optimum.

Two-dimensional DP

Problem and code

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Written by benbenyaojifen. Try the problem first, then compare your approach with the code.

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Implementation

longest_common_subsequent.cpp

C++

    #include <bits/stdc++.h>
     
    using namespace std;
     
    int main(){
        ios::sync_with_stdio(0);
        cin.tie(0);
        int n, m;
        cin >> n >> m;
        vector<int> a(n), b(m);
        for(int i = 0; i < n; i++) cin >> a[i];
        for(int i = 0; i < m; i++) cin >> b[i];
        vector<vector<int>> dp(a.size() + 1, vector<int>(b.size() + 1));
        for(int i = 1; i <= a.size(); i++){
            for(int j = 1; j <= b.size(); j++){
                if(a[i - 1] == b[j - 1]){
                    dp[i][j] = dp[i - 1][j - 1] + 1;
                } else{
                    dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]);
                }
            }
        }
        cout << dp[n][m] << '\n';
        return 0;
    }
        

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