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1463. Cherry Pickup II

Description

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:

  • Robot #1 is located at the top-left corner (0, 0), and
  • Robot #2 is located at the top-right corner (0, cols - 1).

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

  • From a cell (i, j), robots can move to cell (i + 1, j - 1), (i + 1, j), or (i + 1, j + 1).
  • When any robot passes through a cell, It picks up all cherries, and the cell becomes an empty cell.
  • When both robots stay in the same cell, only one takes the cherries.
  • Both robots cannot move outside of the grid at any moment.
  • Both robots should reach the bottom row in grid.

 

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:

  • rows == grid.length
  • cols == grid[i].length
  • 2 <= rows, cols <= 70
  • 0 <= grid[i][j] <= 100

 

Solutions

Solution: Dynamic Programming

  • Time complexity: O(mn2)
  • Space complexity: O(mn2)

 

JavaScript

js
/**
 * @param {number[][]} grid
 * @return {number}
 */
const cherryPickup = function (grid) {
  const m = grid.length;
  const n = grid[0].length;
  const dp = Array.from({ length: m }, () => {
    return new Array(n)
      .fill('')
      .map(_ => new Array(n).fill(-1));
  });

  const collectCherry = (row, col1, col2) => {
    if (row >= m || col1 < 0 || col1 >= n || col2 < 0 || col2 >= n) return 0;
    if (dp[row][col1][col2] !== -1) return dp[row][col1][col2];
    const robot1 = grid[row][col1];
    const robot2 = grid[row][col2];
    const cherries = col1 === col2 ? robot1 : robot1 + robot2;
    let result = cherries;

    for (let moveCol1 = -1; moveCol1 <= 1; moveCol1++) {
      const nextCol1 = col1 + moveCol1;

      for (let moveCol2 = -1; moveCol2 <= 1; moveCol2++) {
        const nextCol2 = col2 + moveCol2;
        const nextCherries = collectCherry(row + 1, nextCol1, nextCol2);

        result = Math.max(cherries + nextCherries, result);
      }
    }

    dp[row][col1][col2] = result;

    return result;
  };

  return collectCherry(0, 0, n - 1);
};

Released under the MIT license