You are given an integer array nums of length n.
Define the pulse value of an integer array arr as the alternating sum starting at index 0: pulse(arr) = arr[0] - arr[1] + arr[2] - arr[3] + ....
You may perform at most one operation on nums:
l and r such that 0 <= l < r < n.nums[l..r] by exactly one position. For example, [a, b, c, d] becomes [b, c, d, a].Return the maximum pulse value that can be obtained after performing at most one such operation.
Example 1:
Input: nums = [1,5,2]
Output: 6
Explanation:
1 - 5 + 2 = -2.nums[0..1] from [1, 5] to [5, 1].[5, 1, 2] and its pulse value is 5 - 1 + 2 = 6, which is the maximum possible.Example 2:
Input: nums = [6,4,3]
Output: 7
Explanation:
6 - 4 + 3 = 5.nums[1..2] from [4, 3] to [3, 4].[6, 3, 4] and its pulse value is 6 - 3 + 4 = 7, which is the maximum possible.Example 3:
Input: nums = [9,7]
Output: 2
Explanation:
The original pulse value is 9 - 7 = 2, which is already maximum. Thus, no rotation is required.
Constraints:
1 <= n == nums.length <= 105-109 <= nums[i] <= 109After rotating nums[l..r], every element originally at an index from l + 1 through r changes its contribution's sign. The element nums[l] moves to index r.
Let P[t] be the alternating sum of the first t elements, with P[0] = 0. The change in pulse value is 2 * (P[l + 1] - P[r + 1]) when l and r have the same parity, and 2 * (P[l] - P[r + 1]) otherwise.
Scan r from left to right. Among indices l < r, maintain the maximum values of P[l] and P[l + 1] separately for each parity of l. Use these maxima to find the best gain in constant time per index, allowing a gain of zero for skipping the operation.
[1,5,2]
[6,4,3]
[9,7]