Max Dot Product of Two Subsequences

Given two arrays nums1 and nums2.

Return the maximum dot product between non-empty subsequences of nums1 and nums2 with the same length.

A subsequence of a array is a new array which is formed from the original array by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (ie, [2,3,5] is a subsequence of [1,2,3,4,5] while [1,5,3] is not).

 

Example 1:

Input: nums1 = [2,1,-2,5], nums2 = [3,0,-6]
Output: 18
Explanation: Take subsequence [2,-2] from nums1 and subsequence [3,-6] from nums2.
Their dot product is (2*3 + (-2)*(-6)) = 18.
Example 2:

Input: nums1 = [3,-2], nums2 = [2,-6,7]
Output: 21
Explanation: Take subsequence [3] from nums1 and subsequence [7] from nums2.
Their dot product is (3*7) = 21.
Example 3:

Input: nums1 = [-1,-1], nums2 = [1,1]
Output: -1
Explanation: Take subsequence [-1] from nums1 and subsequence [1] from nums2.
Their dot product is -1.
 

Constraints:


Solution:

dp[i][j] = max product for subarray [0, i], [0, j]
class Solution {
    public int maxDotProduct(int[] nums1, int[] nums2) {
        int m = nums1.length, n = nums2.length;
        int[][] dp = new int[m][n];
        dp[0][0] = nums1[0] * nums2[0];
        int max = dp[0][0];
        for (int i = 1; i < m; i ++) {
            dp[i][0] = Math.max(dp[i - 1][0], nums1[i] * nums2[0]);
            max = Math.max(max, dp[i][0]);
        }
        for (int j = 1; j < n; j ++) {
            dp[0][j] = Math.max(dp[0][j - 1], nums1[0] * nums2[j]);
            max = Math.max(max, dp[0][j]);
        }
        for (int i = 1; i < m; i ++) {
            for (int j = 1; j < n; j ++) {
                int prod = nums1[i] * nums2[j];
                dp[i][j] = dp[i - 1][j - 1];
                dp[i][j] = Math.max(dp[i][j], prod);
                dp[i][j] = Math.max(dp[i][j], prod + dp[i - 1][j - 1]);
                dp[i][j] = Math.max(dp[i][j], dp[i - 1][j]);
                dp[i][j] = Math.max(dp[i][j], dp[i][j - 1]);
                max = Math.max(max, dp[i][j]);
            }
        }
        return max;
    }

}