标签: C++ 算法 LeetCode 数组 二分查找
每日算法——leetcode系列
问题 Search for a Range
Difficulty: Medium
Given a sorted array of integers, find the starting and ending position of a given target value.
Your algorithm's runtime complexity must be in the order of O(log n).
If the target is not found in the array, return
[-1, -1].
For example,
Given[5, 7, 7, 8, 8, 10]
and target value 8,
return[3, 4]
.
class Solution {
public:
vector<int> searchRange(vector<int>& nums, int target) {
}
};
翻译
搜索(目标的)所在范围
难度系数:中等
给定一个有序整数数组,找出给定值在其中的起始与结束索引。
算法的时间复杂度必须为O(logn)。
如果数组中没有指定值,返回[-1, -1]。
例如,给定[5, 7, 7, 8, 8, 10],目标值为8,返回[3, 4]。
思路
对于有序数组, 查找可以用二分查找
由于有重复的值,如果二分法找到目标,则分两部分继续二分查找
如果没找到,返回[-1, -1]
代码
class Solution {
public:
vector<int> searchRange(vector<int>& nums, int target) {
int n = (int)nums.size();
int pos = binarySearch(nums, 0, n-1, target);
vector<int> result;
int low = -1, high = -1;
if (pos >= 0){
low = pos;
int l = low;
while (l >= 0) {
low = l;
l = binarySearch(nums, 0, low - 1, target);
}
high = pos;
int h = high;
while (h >= 0){
high = h;
h = binarySearch(nums, high + 1, n-1, target);
}
}
result.push_back(low);
result.push_back(high);
return result;
}
private:
int binarySearch(vector<int> nums, int low, int high, int target){
while (low <= high) {
int mid = low + (high - low)/2;
if (nums[mid] == target) {
return mid;
}
if (target > nums[mid]) {
low = mid + 1;
}
if (target < nums[mid]) {
high = mid - 1;
}
}
return -1;
}
};