33. Search in Rotated Sorted Array very simple algorithm

33. Search in Rotated Sorted Array

When execution: 4 ms, beat the 90.71% of all users to submit in C ++

Memory consumption: 9 MB, beat the 5.13% of all users to submit in C ++

 

From the ordered sequence can be seen, this problem binary search  BinarySearch  deformation , will temporarily sequence under the title search conditions referred to rotatedSearch, then the problem can be divided into:

1. When target is in the fully ordered (pivot point of rotation is not present in the sequence), performed at the binary search;

2. When the target in a non-fully ordered (with rotation pivot point sequence), performed at the rotation search (recursion);

All cases no more than two , the rotation point the first half or the second half of the following example:

1. [2, 3, 4, 5, 0, 1], for example, the point of rotation in the latter half, of the conditions determined mid (4)> first (2). Then when the value of the target in the [first, mid] between, target in the first half, on the first half for BinarySerach, otherwise described target in the latter half of the non-fully ordered sequence, then the second half after RotateSearch;

2. Similarly [5, 0, 1, 2, 3, 4], for example, half of the first rotation point, the condition is determined mid (1) <first (5), then when the value of the target is located [mid, end] when, in the latter half of the target, after half of the BinarySearch, completely or non-target sequences in the first half, a first half of RotateSerach;

The core algorithm was described above, the specific details, see the code:

class Solution {
private:
    int binarySearch(vector<int>& nums, int s, int e, int target){
        if(s > e){
            return -1;
        }
        int lo = s, hi = e;
        while(lo <= hi){
            int mid = (lo + hi) / 2;
            if(nums[mid] == target){
                return mid;
            }
            else if(target < nums[mid]){
                hi = mid - 1;
            }
            else{
                lo = mid + 1;
            }
        }
        return -1;
    }
    int rotatedSearch(vector<int>& nums, int s, int e, int target){
        int fir = s, end = e; 
        if(fir > end){
            return -1;
        }               
        int mid = (fir + end) / 2;
        if(mid == fir){
            if(target == nums[mid]){
                return mid;
            }
            else if(target == nums[end]){
                return end;
            }
            return -1;
        }
        else if(nums[mid] > nums[fir]){
            if(nums[fir] <= target && target <= nums[mid]){
                return binarySearch(nums, fir, mid, target);
            }
            else{
                return rotatedSearch(nums, mid+1, end, target);
            }
        }
        else{
            if(nums[mid] <= target && target <= nums[end]){
                return binarySearch(nums, mid, end, target);
            }
            else{
                return rotatedSearch(nums, fir, mid, target);
            }
        }
    }
public:
    int search(vector<int>& nums, int target) {
        if(nums.size() == 0){
            return -1;
        }
        else if(nums.size() == 1){
            return (target == nums[0] ? 0 : -1);
        }
        return rotatedSearch(nums, 0, nums.size()-1, target);
    }
};

 

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Origin blog.csdn.net/qq_40491305/article/details/104113820