You are given two 0-indexed integer arrays nums and multipliersof size n and m respectively, where n >= m.
You begin with a score of 0. You want to perform exactlym operations. On the ith operation (0-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.
Note that multipliers[0] corresponds to the first operation, multipliers[1] to the second operation, and so on.
Remove x from nums.
Return the maximum score after performing moperations.
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 <= 300
m <= n <= 105
-1000 <= nums[i], multipliers[i] <= 1000
Solutions
Solution 1
Thinking
Each step multiplies one end of \(nums\) by \(\textit{multipliers}[k]\). After \(m\) moves only the two ends change, so a state is how many were taken from the left and from the right.
Memoize \(f(i,j,k)\) with left index \(i\), right index \(j\), and multiplier \(k\). Recur on taking left or right; stop at \(k=m\). There are \(O(m^2)\) states.
Tabulate the same idea: \(f[i][j]\) is the best after taking \(i\) from the front and \(j\) from the back. Fill by increasing \(i+j\) and record answers at \(i+j=m\). Same \(O(m^2)\) without recursion.