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1463. Cherry Pickup II

HardOpen on LeetCodeProblem statement

Problem Statement

1463. Cherry Pickup II

Hard


You are given a rows x cols matrix grid representing a field of cherries where grid[i][j] represents the number of cherries that you can collect from the (i, j) cell.

You have two robots that can collect cherries for you:

Return the maximum number of cherries collection using both robots by following the rules below:

 

Example 1:

Input: grid = [[3,1,1],[2,5,1],[1,5,5],[2,1,1]]
Output: 24
Explanation: Path of robot #1 and #2 are described in color green and blue respectively.
Cherries taken by Robot #1, (3 + 2 + 5 + 2) = 12.
Cherries taken by Robot #2, (1 + 5 + 5 + 1) = 12.
Total of cherries: 12 + 12 = 24.

Example 2:

Input: grid = [[1,0,0,0,0,0,1],[2,0,0,0,0,3,0],[2,0,9,0,0,0,0],[0,3,0,5,4,0,0],[1,0,2,3,0,0,6]]
Output: 28
Explanation: Path of robot #1 and #2 are described in color green and blue respectively.
Cherries taken by Robot #1, (1 + 9 + 5 + 2) = 17.
Cherries taken by Robot #2, (1 + 3 + 4 + 3) = 11.
Total of cherries: 17 + 11 = 28.

 

Constraints:

C++

Source file
class Solution {
public:
    int cherryPickup(vector<vector<int>>& grid) {
        int m = grid.size();
        int n = grid[0].size();
        int dp[m][n][n];

        for (int row = m - 1; row >= 0; row--) {
            for (int col1 = 0; col1 < n; col1++) {
                for (int col2 = 0; col2 < n; col2++) {
                    int result = 0;
                    // current cell
                    result += grid[row][col1];
                    if (col1 != col2) {
                        result += grid[row][col2];
                    }
                    // transition
                    if (row != m - 1) {
                        int maxm = 0;
                        for (int newCol1 = col1 - 1; newCol1 <= col1 + 1; newCol1++) {
                            for (int newCol2 = col2 - 1; newCol2 <= col2 + 1; newCol2++) {
                                if (newCol1 >= 0 && newCol1 < n && newCol2 >= 0 && newCol2 < n) {
                                    maxm = max(maxm, dp[row + 1][newCol1][newCol2]);
                                }
                            }
                        }
                        result += maxm;
                    }
                    dp[row][col1][col2] = result;
                }
            }
        }
        return dp[0][0][n - 1];
    }
};