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1331. Path With Maximum Gold

Difficulty: Medium

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1331. Path with Maximum Gold

Medium


In a gold mine grid of size m x n, each cell in this mine has an integer representing the amount of gold in that cell, 0 if it is empty.

Return the maximum amount of gold you can collect under the conditions:

  • Every time you are located in a cell you will collect all the gold in that cell.
  • From your position, you can walk one step to the left, right, up, or down.
  • You can't visit the same cell more than once.
  • Never visit a cell with 0 gold.
  • You can start and stop collecting gold from any position in the grid that has some gold.

 

Example 1:

Input: grid = [[0,6,0],[5,8,7],[0,9,0]]
Output: 24
Explanation:
[[0,6,0],
 [5,8,7],
 [0,9,0]]
Path to get the maximum gold, 9 -> 8 -> 7.

Example 2:

Input: grid = [[1,0,7],[2,0,6],[3,4,5],[0,3,0],[9,0,20]]
Output: 28
Explanation:
[[1,0,7],
 [2,0,6],
 [3,4,5],
 [0,3,0],
 [9,0,20]]
Path to get the maximum gold, 1 -> 2 -> 3 -> 4 -> 5 -> 6 -> 7.

 

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 15
  • 0 <= grid[i][j] <= 100
  • There are at most 25 cells containing gold.

Solution

class Solution {
public:
    int find(vector<vector<int>>& grid, int i, int j) {
        if (i < 0 || j < 0 || i >= grid.size() || j >= grid[0].size() || grid[i][j] == 0) {
            return 0;
        }

        int gold = grid[i][j];
        grid[i][j] = 0;  

        int a = find(grid, i + 1, j);
        int b = find(grid, i - 1, j);
        int c = find(grid, i, j + 1);
        int d = find(grid, i, j - 1);

        grid[i][j] = gold;  
        return gold + max({a, b, c, d});
    }

    int getMaximumGold(vector<vector<int>>& grid) {
        int maxgold = 0;

        for (int i = 0; i < grid.size(); i++) {
            for (int j = 0; j < grid[0].size(); j++) {
                if (grid[i][j] != 0) {
                    maxgold = max(maxgold, find(grid, i, j));
                }
            }
        }

        return maxgold;
    }
};

Complexity Analysis

  • Time Complexity: O(?)
  • Space Complexity: O(?)

Approach

Detailed explanation of the approach will be added here