【leetcode】33. Search in Rotated Sorted Array

本文介绍了一种在旋转排序数组中搜索目标值的算法。通过两次使用二分查找,首先找到旋转点,然后确定目标值位于哪一半,最后在那一半中进行二分查找。此算法时间复杂度为O(logn),适用于无重复元素的数组。

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题目:
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).


思路:
首先,利用二分法,找到旋转数组分界点。然后,判断target在左半边还是右半边。最后,利用二分法搜索target。整个算法的时间复杂度为O(log n)。(数组无重复元素让这个题目简单不少)


代码实现:

class Solution {
public:
    
    int binary_search(const vector<int>& nums, int begin, int end, int target){
        
        int left = begin;
        int right = end;
        int mid = left + (right - left) / 2;
        
        while (left <= right){ // 等号很重要,不要落下
            if (nums[mid] == target){
                return mid;
            }else if (nums[mid] > target){
                right = mid - 1;
            }else{
                left = mid + 1;
            }
            mid = left + (right - left) / 2;
        }
        
        return -1;
    }
    
    int search(vector<int>& nums, int target) {
        if (nums.size() <= 0){
            return -1;
        }
        
        int left = 0; 
        int right = nums.size()-1;
        int mid = left + (right - left) / 2;
        
        // 寻找分界点
        while (left <= right){ // 等号很重要,不要落下
            if (nums[mid] >= nums[0]){ // 这里等号也很重要,因为mid有可能等于0
                left = mid + 1;
            }else{
                right = mid - 1;
            }
            mid = left + (right - left) / 2;
        }
        
        // 判断target在左半边还是右半边
        if (left >= nums.size()){
            return binary_search(nums, 0, nums.size()-1, target);
        }else{
            if (target >= nums[0]){
                return binary_search(nums, 0, left-1, target);
            }else{
                return binary_search(nums, left, nums.size()-1, target);
            }
        }
        
        return -1;
    }
};

discuss:
先假象没有旋转,然后求出mid,再将mid旋转一下,再与target比较。扭着身子做二分查找。

class Solution {
public:
    int search(vector<int>& nums, int target) {
        int lo = 0, hi = n-1; // 首、尾元素
        
        while (lo < hi){
            int mid = (lo + hi) / 2;
            if (A[mid] > A[hi]){
                lo = mid + 1;
            }else{
                hi = mid;
            }
        }
        
        // 此时lo == hi是最小值,也是整个数组旋转的地方
        
        int rot = lo; // 旋转次数
        lo = 0; hi = n - 1; // 默认是不旋转的
        
        while (lo <= hi){
            int mid = (lo + hi) / 2;
            int realmid = (mid + rot) % n; // mid是不旋转的情况,将mid旋转之后变成realmid
            if (A[realmid] == target){
                return realmid;
            }
            if (A[realmid] < target){
                lo = mid + 1;
            }else {
                hi = mid - 1;
            }
        }
        
        return -1;
    }
};

在这里插入图片描述

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