In a gold mine grid
of size m * 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:
1 <= grid.length, grid[i].length <= 15
0 <= grid[i][j] <= 100
- There are at most 25 cells containing gold.
Related Topics:
Backtracking
// OJ: https://leetcode.com/problems/path-with-maximum-gold/
// Author: github.com/lzl124631x
// Time: O(MN*4^(MN))
// Space: O(MN) because in the worst case the DFS will visit all cells.
class Solution {
int M, N, ans = 0, dirs[4][2] = {{0,1},{0,-1},{1,0},{-1,0}};
void dfs(vector<vector<int>> &G, int i, int j, int cnt) {
int g = G[i][j];
G[i][j] = 0;
cnt += g;
ans = max(ans, cnt);
for (auto &[dx, dy] : dirs) {
int x = i + dx, y = j + dy;
if (x < 0 || y < 0 || x >= M || y >= N || G[x][y] == 0) continue;
dfs(G, x, y, cnt);
}
G[i][j] = g;
}
public:
int getMaximumGold(vector<vector<int>>& G) {
M = G.size(), N = G[0].size();
for (int i = 0; i < M; ++i) {
for (int j = 0; j < N; ++j) {
if (G[i][j] == 0) continue;
dfs(G, i, j, 0);
}
}
return ans;
}
};