假设按照升序排序的数组在预先未知的某个点上进行了旋转。
( 例如,数组 [0,1,2,4,5,6,7]
可能变为 [4,5,6,7,0,1,2]
)。
搜索一个给定的目标值,如果数组中存在这个目标值,则返回它的索引,否则返回 -1
。
你可以假设数组中不存在重复的元素。
你的算法时间复杂度必须是 O(log n) 级别。
示例 1:
输入: nums = [4,5,6,7,0,1,2]
, target = 0
输出: 4
示例 2:
输入: nums = [4,5,6,7,0,1,2]
, target = 3
输出: -1
二分查找。
class Solution:
def search(self, nums: List[int], target: int) -> int:
l, r = 0, len(nums) - 1
while l <= r:
mid = (l + r) >> 1
if nums[mid] == target:
return mid
if nums[mid] > target:
if nums[mid] >= nums[r] and target < nums[l]:
l = mid + 1
else:
r = mid - 1
else:
if nums[mid] <= nums[l] and target > nums[r]:
r = mid - 1
else:
l = mid + 1
return -1
class Solution {
public int search(int[] nums, int target) {
int l = 0, r = nums.length - 1;
while (l <= r) {
int mid = (l + r) >>> 1;
if (nums[mid] == target) return mid;
if (nums[mid] > target) {
if (nums[mid] >= nums[r] && target < nums[l]) l = mid + 1;
else r = mid - 1;
} else {
if (nums[mid] <= nums[l] && target > nums[r]) r = mid - 1;
else l = mid + 1;
}
}
return -1;
}
}
class Solution {
public:
int search(vector<int>& nums, int target) {
int l = 0, r = nums.size() - 1;
while (l <= r) {
int mid = (l + r) >> 1;
if (nums[mid] == target) return mid;
if (nums[mid] > target) {
if (nums[mid] >= nums[r] && target < nums[l]) l = mid + 1;
else r = mid - 1;
} else {
if (nums[mid] <= nums[l] && target > nums[r]) r = mid - 1;
else l = mid + 1;
}
}
return -1;
}
};