LeetCode 1770. Maximum Score from Performing Multiplication Operations
原题链接在这里:https://leetcode.com/problems/maximum-score-from-performing-multiplication-operations/
题目:
You are given two integer arrays nums and multipliers of 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
xfrom either the start or the end of the arraynums. - Add
multipliers[i] * xto your score. - Remove
xfrom the arraynums.
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.lengthm == multipliers.length1 <= m <= 103m <= n <= 105-1000 <= nums[i], multipliers[i] <= 1000
题解:
dp(l, r, i) could be calculated as maximum of dp(l + 1, r, i + 1) + nums[l] * muls[i], dp(l , r + 1, i + 1) * nums[r] * muls[i].
Here r could be calculated by l and i.
r = n - (rightTaken) - 1
rightTaken = i - leftTaken = i - l.
r = n - (i - l) - 1 = n - i + l - 1.
Time Complexity: O(m ^ 2).
Space: O(m ^ 2).
AC Java:
1 class Solution { 2 int n; 3 int m; 4 Integer [][] memo; 5 int [] nums; 6 int [] muls; 7 public int maximumScore(int[] nums, int[] multipliers) { 8 n = nums.length; 9 m = multipliers.length; 10 this.memo = new Integer[m][m]; 11 this.nums = nums; 12 this.muls = multipliers; 13 14 return dfs(0, 0); 15 } 16 17 private int dfs(int l, int i){ 18 if(i == m){ 19 return 0; 20 } 21 22 if(memo[l][i] != null){ 23 return memo[l][i]; 24 } 25 26 int left = dfs(l + 1, i + 1) + nums[l] * muls[i]; 27 int right = dfs(l, i + 1) + nums[n - i + l - 1] * muls[i]; 28 return memo[l][i] = Math.max(left, right); 29 } 30 }
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