You are given a m x n matrix grid. Initially, you are located at the top-left corner (0, 0), and in each step, you can only move right or down in the matrix.
Among all possible paths starting from the top-left corner (0, 0) and ending in the bottom-right corner (m - 1, n - 1), find the path with the maximum non-negative product. The product of a path is the product of all integers in the grid cells visited along the path.
Return the maximum non-negative product modulo109 + 7. If the maximum product is negative, return -1.
Notice that the modulo is performed after getting the maximum product.
Β
Example 1:
Input: grid = [[-1,-2,-3],[-2,-3,-3],[-3,-3,-2]]
Output: -1
Explanation: It is not possible to get non-negative product in the path from (0, 0) to (2, 2), so return -1.
Input: grid = [[1,3],[0,-4]]
Output: 0
Explanation: Maximum non-negative product is shown (1 * 0 * -4 = 0).
Β
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n <= 15
-4 <= grid[i][j] <= 4
Solutions
Solution 1: Dynamic Programming
We define a 3D array \(f\), where \(f[i][j][0]\) and \(f[i][j][1]\) represent the minimum and maximum product of all paths from the top-left corner \((0, 0)\) to position \((i, j)\), respectively. For each position \((i, j)\), we can transition from above \((i - 1, j)\) or from the left \((i, j - 1)\), so we need to consider the results of multiplying the minimum and maximum products of these two paths by the value of the current cell.
Finally, we need to return \(f[m - 1][n - 1][1]\) modulo \(10^9 + 7\). If \(f[m - 1][n - 1][1]\) is less than \(0\), return \(-1\).
The time complexity is \(O(m \times n)\) and the space complexity is \(O(m \times n)\), where \(m\) and \(n\) are the number of rows and columns of the matrix, respectively.