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SearchInRotatedSortedArray.java
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/*
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
*/
public class SearchInRotatedSortedArray {
public static void main(String[] args) {
int[] nums={4,5,6,7,0,1,2};
int ans=search(nums,0);
System.out.println(ans);
}
public static int search(int[] nums, int target) {
int pivot = findPivot(nums);
// if you did not find a pivot, it means the array is not rotated
if (pivot == -1) {
// just do normal binary search
return binarySearch(nums, target, 0 , nums.length - 1);
}
// if pivot is found, you have found 2 asc sorted arrays
if (nums[pivot] == target) {
return pivot;
}
if (target >= nums[0]) {
return binarySearch(nums, target, 0, pivot - 1);
}
return binarySearch(nums, target, pivot + 1, nums.length - 1);
}
public static int binarySearch(int[] arr, int target, int start, int end) {
while(start <= end) {
// find the middle element
// int mid = (start + end) / 2; // might be possible that (start + end) exceeds the range of int in java
int mid = start + (end - start) / 2;
if (target < arr[mid]) {
end = mid - 1;
} else if (target > arr[mid]) {
start = mid + 1;
} else {
// ans found
return mid;
}
}
return -1;
}
static int findPivot(int[] arr) {
int start = 0;
int end = arr.length - 1;
while (start <= end) {
int mid = start + (end - start) / 2;
// 4 cases over here
if (mid < end && arr[mid] > arr[mid + 1]) {
return mid;
}
if (mid > start && arr[mid] < arr[mid - 1]) {
return mid - 1;
}
if (arr[mid] <= arr[start]) {
end = mid - 1;
} else {
start = mid + 1;
}
}
return -1;
}
}