There is an integer array nums sorted in ascending order (with distinct values).
Prior to being passed to your function, nums is possibly rotated at an unknown pivot index k (1 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]] (0-indexed). For example, [0,1,2,4,5,6,7] might be rotated at pivot index 3 and become [4,5,6,7,0,1,2].
Given the array nums after the possible rotation and an integer target, return the index of target if it is in nums, or -1 if it is not in nums.
You must write an algorithm with O(log n) runtime complexity.
Example 1:
Input: nums = [4,5,6,7,0,1,2], target = 0
Output: 4
Example 2:
Input: nums = [4,5,6,7,0,1,2], target = 3
Output: -1
Example 3:
Input: nums = [1], target = 0
Output: -1
Constraints:
1 <= nums.length <= 5000-104 <= nums[i] <= 104- All values of
numsare unique. numsis an ascending array that is possibly rotated.-104 <= target <= 104
Approach
- Compute mid then check if it matches target then return mid
- Check if mid is in left sorted or right sorted
- For left check if it is out -> like target > mid or target < l then go left else right
- For right check if it is out -> target < mid or target > rigth
class Solution {
public int search(int[] nums, int target) {
int l = 0, r = nums.length - 1;
while (l <= r) {
int m = l + (r-l) / 2;
if (target == nums[m]) return m;
if (nums[l] <= nums[m]) {
if (target > nums[m] || target < nums[l])
l = m + 1;
else
r = m - 1;
} else {
if (target < nums[m] || target > nums[r])
r = m - 1;
else
l = m + 1;
}
}
return -1;
}
}