[LeetCode]34. Search for a Range

34. Search for a Range

https://leetcode.com/problems/search-for-a-range/description/

与上一题很相似,原理很清晰,两次二分搜索,一次找前边界一次找后边界,不必在找到target后直接break。但我真的是太讨厌二分搜索了,边界条件实在头疼。

class Solution {
public:
    vector<int> searchRange(vector<int>& nums, int target) {
        int l = 0, r = nums.size()-1;
        vector<int> res(2,-1);
        if (nums.empty()) return res;
        if (nums.size()==1 && nums[0] == target) return (vector<int>){0,0};  
        while (l < r){
            int mid = (l+r)/2;
            if (nums[mid]<target) l = mid+1;
            else r = mid; 
        }
        if (nums[r]!=target) return res;
        res[0] = r;
        r = nums.size();///!!!
        while (l < r){
            int mid = (l+r)/2;
            if (nums[mid]>target) r = mid;
            else l = mid+1;
        }
        res[1] = l-1;//!!!
        return res;
    }
};

Reference

http://www.cnblogs.com/grandyang/p/4409379.html

### LeetCode Problem 34: Find First and Last Position of Element in Sorted Array The task involves finding the starting and ending position of a given target value within an array of integers. If the target is not found in the array, [-1, -1] should be returned. For instance, consider an input where `nums` = [5,7,7,8,8,10], and `target` = 8. The expected output would be [3, 4]. Another example could involve `nums` = [5,7,7,8,8,10], but this time with `target` = 6, leading to an output of [-1, -1]. To solve this problem efficiently: A binary search approach can achieve logarithmic complexity by narrowing down potential positions for both the first and last occurrence of the target element[^1]: ```python def searchRange(nums, target): def findLeftIndex(nums, target): left, right = 0, len(nums) - 1 while left <= right: mid = (left + right) // 2 if nums[mid] < target: left = mid + 1 else: right = mid - 1 return left def findRightIndex(nums, target): left, right = 0, len(nums) - 1 while left <= right: mid = (left + right) // 2 if nums[mid] <= target: left = mid + 1 else: right = mid - 1 return right left_index = findLeftIndex(nums, target) right_index = findRightIndex(nums, target) # Check if the target exists in the list. if left_index <= right_index < len(nums) and nums[left_index] == target: return [left_index, right_index] return [-1, -1] ``` This code snippet defines two helper functions that perform modified versions of binary searches—one looking for the start index (`findLeftIndex`) and another for the end index (`findRightIndex`). After determining these indices, it checks whether they are valid before returning them as part of the result.
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