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2023-12-01

Search in Rotated Sorted Array

描述

Suppose a sorted array 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.

分析

一个有序数组被循环右移,只可能有一下两种情况:

   7 │
 6   │
─────┼───────────
     │         5
     │       4
     │     3
     │   2
     │ 1
         7 │
       6   │
     5     │
   4       │
 3         │
───────────┼───────────
           │   2
           │ 1

本题依旧可以用二分查找,难度主要在于左右边界的确定。仔细观察上面两幅图,我们可以得出如下结论:

如果A[left] <= A[mid],那么[left,mid] 一定为单调递增序列。

代码

// Search in Rotated Sorted Array
// Time Complexity: O(log n),Space Complexity: O(1)
public class Solution {
    public int search(int[] nums, int target) {
        int first = 0, last = nums.length;
        while (first != last) {
            final int mid = first  + (last - first) / 2;
            if (nums[mid] == target)
                return mid;
            if (nums[first] <= nums[mid]) {
                if (nums[first] <= target && target < nums[mid])
                    last = mid;
                else
                    first = mid + 1;
            } else {
                if (nums[mid] < target && target <= nums[last-1])
                    first = mid + 1;
                else
                    last = mid;
            }
        }
        return -1;
    }
};
// Search in Rotated Sorted Array
// Time Complexity: O(log n),Space Complexity: O(1)
class Solution {
public:
    int search(const vector<int>& nums, int target) {
        int first = 0, last = nums.size();
        while (first != last) {
            const int mid = first  + (last - first) / 2;
            if (nums[mid] == target)
                return mid;
            if (nums[first] <= nums[mid]) {
                if (nums[first] <= target && target < nums[mid])
                    last = mid;
                else
                    first = mid + 1;
            } else {
                if (nums[mid] < target && target <= nums[last-1])
                    first = mid + 1;
                else
                    last = mid;
            }
        }
        return -1;
    }
};

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