findMedian() -> 2 用一个最大堆存放比中位数小(或等于)的元素,用一个最小堆存放比中位数大(或等于)的元素。这里关键的方法是insert(),每当要插入一个元素时,根据判断条件将它插入最大堆或是最小堆,并更新最大堆和最小堆,使得最大堆和最小堆中元素的个数之差不超过1,这样中位数就是最大堆或最小堆...
还有就是为每个队列都在最后push一个INT_MAX,这样处理起来比较方便。 View Code 4. 寻找两个有序数组的中位数 题目思路在上面 View Code
priority_queue<int> small; priority_queue<int, vector<int>, greater<int>> large; unordered_map<int,int> delayed; intk; intsmallCount, largeCount; template<typenameT> voidprune(T& heap){ while(!heap.empty()) { intnum = heap.top(); if(delayed.count(num)) { // 延迟删除队列中有堆...
LeetCode上的原题,请参见我之前的博客Find Median from Data Stream. 解法一: priority_queue<int> small; priority_queue<int,geometric median The geometric median of a discrete set of sample points in a Euclidean space is the point minimizing the sum of distances to the sample points. This ...
Given an array nums, there is a sliding window of size k which is moving from the very left of the array to the very right. You can only see the k numbers in the window. Each time the sliding window moves right by one position. Your job is to output the median array for each win...
private PriorityQueue<Long> maxQueue; /** initialize your data structure here. */ public MedianFinder () { minQueue = new PriorityQueue<Long>(); maxQueue = new PriorityQueue<Long>(); } public void addNum(int num) { maxQueue.add((long)num); ...
class MedianFinder { public: priority_queue<int> loHalf, upHalf; // Adds a number into the data structure. void addNum(int num) { if(loHalf.empty() || num < loHalf.top()) loHalf.push(num); else upHalf.push(-num); if(loHalf.size() > 1 + upHalf.size()) { upHalf.push(...
#include <bits/stdc++.h> using namespace std; priority_queue <int, vector<int>, greater<int> > q; priority_queue <int, vector<int> > p; int _, num, n, a[10000]; int main() { scanf("%d", &_); while(_--) { int cnt = 0; scanf("%d %d", &num, &n); for(int i ...
} #include <bits/stdc++.h> #include <queue> using namespace std; using ull = unsigned long long; using ll = long long; //最大最小栈的读入函数,这个好像是leetcode的一道题,我借用了一下 void addNum(int num, priority_queue<ll, vector<ll>, greater<ll> >& maxheap, priority_queue<ll...
priority_queue<int,vector<int>,greater<int>> minH; }; /** * Your MedianFinder object will be instantiated and called as such: * MedianFinder obj = new MedianFinder(); * obj.addNum(num); * double param_2 = obj.findMedian(); ...