• [LeetCode] 1219. Path with Maximum Gold 黄金矿工



    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.

    这道题给了一个 m by n 的二维数组 grid,说是里面的数字代表金子的数量,0表示没有金子。现在可以选一个任意的起点,可以朝四个方向走,条件的是不能越界,不能走重复的位置,以及不能走值为0的地方,现在问最多能获得多少的金子。这道题虽然说也是一道迷宫遍历的问题,也是求极值的问题,但并不是求最短步数,而是求路径值之和最大,那么显然 BFS 就不太适合了,因为这里严格限制了不能走重复路径,并且要统计每一条路径之和,用 DFS 是坠好的。这道题的时间卡的非常的严格,博主最开始写的一个版本,由于用了 HashSet 来记录访问过的位置,都超时了,于是只能用 grid 数组本身来记录,首先遍历所有的位置,跳过所有为0的位置,对于有金子的位置,调用递归函数。

    为了节省时间,这里的递归函数都加上了返回值,博主一般是不喜欢加返回值的。在递归函数中,首先判断当前位置是否越界,且是否有金子,不满足的话直接返回0。然后此时记录当前位置的金子数到一个变量 val 中,然后将当前位置的值置为0,表示访问过了,然后对其四个邻居位置调用递归函数,将最大值取出来放到变量 mx 中,之后将当前位置恢复为 val 值,并返回 mx+val 即可。用所有非0位置为起点调用递归函数的返回值中取最大值就是所求结果,参见代码如下:


    class Solution {
    public:
        int getMaximumGold(vector<vector<int>>& grid) {
            int res = 0, m = grid.size(), n = grid[0].size();
            for (int i = 0; i < m; ++i) {
                for (int j = 0; j < n; ++j) {
                    if (grid[i][j] == 0) continue;
                    res = max(res, helper(grid, i, j));
                }
            }
            return res;
        }
        int helper(vector<vector<int>>& grid, int i, int j) {
            int m = grid.size(), n = grid[0].size();
            if (i < 0 || i >= m || j < 0 || j >= n || grid[i][j] == 0) return 0;
            int val = grid[i][j], mx = 0;
            grid[i][j] = 0;
            mx = max({helper(grid, i + 1, j), helper(grid, i - 1, j), helper(grid, i, j + 1), helper(grid, i, j - 1)});
            grid[i][j] = val;
            return mx + val;
        }
    };
    

    Github 同步地址:

    https://github.com/grandyang/leetcode/issues/1219


    参考资料:

    https://leetcode.com/problems/path-with-maximum-gold/

    https://leetcode.com/problems/path-with-maximum-gold/discuss/398388/C%2B%2BJavaPython-DFS-Backtracking-Clean-code-O(3k)

    https://leetcode.com/problems/path-with-maximum-gold/discuss/398282/JavaPython-3-DFS-and-BFS-w-comment-brief-explanation-and-analysis.


    LeetCode All in One 题目讲解汇总(持续更新中...)


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  • 原文地址:https://www.cnblogs.com/grandyang/p/15250901.html
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