Maximum Score from Performing Multiplication Operations
You are given two integer arrays nums and multipliersof size n and m respectively, where n >= m. The arrays are 1-indexed.
You begin with a score of 0. You want to perform exactly m operations. On the ith operation (1-indexed), you will:
Choose one integer x from either the start or the end of the array nums.
Add multipliers[i] * x to your score.
Remove x from the array nums.
Return the maximum score after performing m operations.
Example 1:
Input: nums = [1,2,3], multipliers = [3,2,1]
Output: 14
Explanation: An optimal solution is as follows:
- Choose from the end, [1,2,3], adding 3 * 3 = 9 to the score.
- Choose from the end, [1,2], adding 2 * 2 = 4 to the score.
- Choose from the end, [1], adding 1 * 1 = 1 to the score.
The total score is 9 + 4 + 1 = 14.
Example 2:
Input: nums = [-5,-3,-3,-2,7,1], multipliers = [-10,-5,3,4,6]
Output: 102
Explanation: An optimal solution is as follows:
- Choose from the start, [-5,-3,-3,-2,7,1], adding -5 * -10 = 50 to the score.
- Choose from the start, [-3,-3,-2,7,1], adding -3 * -5 = 15 to the score.
- Choose from the start, [-3,-2,7,1], adding -3 * 3 = -9 to the score.
- Choose from the end, [-2,7,1], adding 1 * 4 = 4 to the score.
- Choose from the end, [-2,7], adding 7 * 6 = 42 to the score.
The total score is 50 + 15 - 9 + 4 + 42 = 102.
Constraints:
n == nums.length
m == multipliers.length
1 <= m <= 103
m <= n <= 105
-1000 <= nums[i], multipliers[i] <= 1000
Solution:
tricky part is calculating right boundary from left boundary and numbers used.
class Solution {
Integer[][] dp;
public int maximumScore(int[] nums, int[] multipliers) {
int m = multipliers.length;
dp = new Integer[m][m];
return helper(nums, multipliers, 0, 0);
}
private int helper(int[] nums, int[] m, int i, int j) {
if (i == m.length) return 0;
if (dp[i][j] != null) return dp[i][j];
int mul = m[i];
int num1 = nums[j];
int num2 = nums[nums.length - 1 - (i - j)];
int res = Math.max(mul * num1 + helper(nums, m, i + 1, j + 1), mul * num2 + helper(nums, m, i + 1, j));
return dp[i][j] = res;
}
}