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Problem solution · C++

Maximum Coins From K Consecutive Bags

Maximum Coins From K Consecutive Bags: a C++ solution using sorting and greedy selection. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Sorting and greedy selection
Source
walkccc LeetCode Solutions
Length
58 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Sorting and greedy selection

For Maximum Coins From K Consecutive Bags, the implementation first exposes a useful order, then scans that order while making locally justified choices.

  1. Choose the key that reveals the greedy or grouping structure.
  2. Sort the relevant records by that key.
  3. Scan in order, maintaining the invariant that makes each local choice safe.

Code notes

  • 58 lines of C++ from the credited upstream file 3413.cpp.
  • The implementation visibly relies on sequence storage.
  • 3 loop blocks detected.

Complexity

Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Open problem ↗Original source ↗
Full codeMaximum Coins From K Consecutive Bags · C++C++
Use this to learn the idea, then write your own version.
class Solution { public:  long long maximumCoins(vector<vector<int>>& coins, int k) {    vector<vector<int>> negatedCoins = negateLeftRight(coins);    return max(slide(coins, k), slide(negatedCoins, k));  }  private:  vector<vector<int>> negateLeftRight(const vector<vector<int>> coins) {    vector<vector<int>> res;    for (const vector<int>& coin : coins) {      const int l = coin[0];      const int r = coin[1];      const int c = coin[2];      res.push_back({-r, -l, c});    }    return res;  }   long slide(vector<vector<int>>& coins, int k) {    long res = 0;    long windowSum = 0;    int j = 0;     ranges::sort(coins);     for (const vector<int>& coin : coins) {      const int li = coin[0];      const int ri = coin[1];      const int ci = coin[2];      const int rightBoundary = li + k;       // [lj, rj] is fully in [li..li + k)      while (j + 1 < coins.size() && coins[j + 1][0] < rightBoundary) {        const int lj = coins[j][0];        const int rj = coins[j][1];        const int cj = coins[j][2];        windowSum += static_cast<long>(rj - lj + 1) * cj;        ++j;      }       // [lj, rj] may be partially in [l..l + k)      long last = 0;      if (j < coins.size() && coins[j][0] < rightBoundary) {        const int lj = coins[j][0];        const int rj = coins[j][1];        const int cj = coins[j][2];        last = static_cast<long>(min(rightBoundary - 1, rj) - lj + 1) * cj;      }       res = max(res, windowSum + last);      windowSum -= static_cast<long>(ri - li + 1) * ci;    }     return res;  }};

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