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Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand.
(i.e., [0,1,2,4,5,6,7]
might become [4,5,6,7,0,1,2]
).
You are given a target value to search. If found in the array return its index, otherwise return -1
.
You may assume no duplicate exists in the array.
Your algorithm's runtime complexity must be in the order of O(log n).
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
Visit: binary search, we first of all rotating circumstances array nums = [0,1,2,4,5,6,7], as follows:
- 0,1, 2,4,5,6,7
- 1,2,4,5,6,7,0
- 2,4,5,6,7,0,1
- 4,5,6,7,0,1,2
- 5,6,7,0,1,2,4
- 6,7,0,1,2,4,5
- 7,0,1,2,4,5,6
It can be found, no matter how the rotation, or the first half of an orderly, or the second half and orderly; so how is the judge ordered the first half or the second half ordered it.
- nums [mid] <nums [right] After half an orderly
- nums [left] <nums [mid] ordered first half
class Solution {
public:
int search(vector<int>& nums, int target) {
if (nums.size() < 1 || (nums.size() == 1 && nums[0] != target))
return -1;
int left = 0, right = nums.size()-1;
while (left <= right) {
int mid = (left + right) / 2;
if (nums[mid] == target)
return mid;
else if (nums[mid] < nums[right]) { //后半段有序
if (nums[mid] < target && nums[right] >= target)
left = mid + 1;
else
right = mid - 1;
}
else { // 前半段有序
if (nums[left] <= target && target < nums[mid])
right = mid - 1;
else
left = mid + 1;
}
}
return -1;
}
};
Finish,