0396. 旋转函数【中等】
1. 📝 题目描述
给定一个长度为 n 的整数数组 nums。
假设 arrk 是数组 nums 顺时针旋转 k 个位置后的数组,我们定义 nums 的 旋转函数 F 为:
F(k) = 0 * arrk[0] + 1 * arrk[1] + ... + (n - 1) * arrk[n - 1]
返回 F(0), F(1), ..., F(n-1)中的最大值。
生成的测试用例让答案符合 32 位 整数。
示例 1:
txt
输入: nums = [4,3,2,6]
输出: 26
解释:
F(0) = (0 * 4) + (1 * 3) + (2 * 2) + (3 * 6) = 0 + 3 + 4 + 18 = 25
F(1) = (0 * 6) + (1 * 4) + (2 * 3) + (3 * 2) = 0 + 4 + 6 + 6 = 16
F(2) = (0 * 2) + (1 * 6) + (2 * 4) + (3 * 3) = 0 + 6 + 8 + 9 = 23
F(3) = (0 * 3) + (1 * 2) + (2 * 6) + (3 * 4) = 0 + 2 + 12 + 12 = 26
所以 F(0), F(1), F(2), F(3) 中的最大值是 F(3) = 26。1
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示例 2:
txt
输入: nums = [100]
输出: 01
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提示:
n == nums.length1 <= n <= 10^5-100 <= nums[i] <= 100
2. 🎯 s.1 - 数学递推
c
int maxRotateFunction(int* nums, int numsSize) {
long long sum = 0, f = 0;
for (int i = 0; i < numsSize; i++) {
sum += nums[i];
f += (long long)i * nums[i];
}
long long maxVal = f;
for (int i = numsSize - 1; i >= 1; i--) {
f = f + sum - (long long)numsSize * nums[i];
if (f > maxVal) maxVal = f;
}
return (int)maxVal;
}1
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js
/**
* @param {number[]} nums
* @return {number}
*/
var maxRotateFunction = function (nums) {
const n = nums.length
let sum = 0,
f = 0
for (let i = 0; i < n; i++) {
sum += nums[i]
f += i * nums[i]
}
let max = f
for (let i = n - 1; i >= 1; i--) {
f = f + sum - n * nums[i]
max = Math.max(max, f)
}
return max
}1
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py
class Solution:
def maxRotateFunction(self, nums: List[int]) -> int:
n = len(nums)
s = sum(nums)
f = sum(i * v for i, v in enumerate(nums))
res = f
for i in range(n - 1, 0, -1):
f = f + s - n * nums[i]
res = max(res, f)
return res1
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- 时间复杂度:
- 空间复杂度:
算法思路:
- 先计算
和数组总和,再递推每次旋转的结果