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The Coin Change Problem is a classic algorithmic challenge where the goal is to determine the minimum number of coins needed to make a specific amount of money using a given set of denominations. The problem can be approached using dynamic programming, where an array is maintained to store the minimum coins required for each amount from 0 up to the target. By iteratively building up solutions for smaller amounts, one can efficiently find the minimum coins needed for the desired total .

short c++ solution using interative dynamic programming

long getWays(int n, vector<long> c) {
    vector<long> dp(n+1,0);
    dp[0]=1;
    int cs = c.size();
    
     for (int i = 0; i < cs; i++) {
         int coin = c[i];
         for (int j = coin; j <= n; j++) {
             dp[j] += dp[j-coin];
         }
     }
     
    return dp[n];
}

The Coin Change Problem is a classic algorithmic challenge that involves determining the minimum number of coins needed to make a specific amount of change from a given set of coin denominations. It can also refer to the problem of counting the different ways to make that amount using the available coins. The problem can be solved using various methods, including dynamic programming, recursion, and greedy algorithms, depending on the specific constraints and requirements. @fadimahar02/best-coyote-calls-24026ccdcb99%2F">https://www.google.com/url?q=https%3A%2F%2Fmedium.com/@fadimahar02/best-coyote-calls-24026ccdcb99%2F