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 nums are unique.
  • nums is 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;
    }
}