Applying heap to find median in a stream The article aims to describe a solution to leetcode 295. Problem: Median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is the mean of the two middle value. Design a...
// 写法一 leetcode解 class MedianFinder { public PriorityQueue<Integer> minheap, maxheap; public MedianFinder() { maxheap = new PriorityQueue<Integer>(Collections.reverseOrder()); minheap = new PriorityQueue<Integer>(); } // Adds a number into the data structure....
Can you solve this real interview question? Find Median from Data Stream - The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value, and the median is the mean of the two middle values. * For
leetcode -- Find Median from Data Stream Median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is the mean of the two middle value. Examples: [2,3,4], the median is3 [2,3], the median is(2 + 3) ...
void addNum(int num) - Add a integer number from the data stream to the data structure. double findMedian() - Return the median of all elements so far. For example: addNum(1) addNum(2) findMedian() -> 1.5 addNum(3) findMedian() -> 2 ...
void addNum(int num)- Add a integer number from the data stream to the data structure. double findMedian()- Return the median of all elements so far. For example: add(1) add(2) findMedian() -> 1.5 add(3) findMedian() -> 2 ...
*small.begin() :0.5* (*small.begin() - *large.begin()); }private: multiset<long>small, large; }; 本文转自博客园Grandyang的博客,原文链接:找出数据流的中位数[LeetCode] Find Median from Data Stream,如需转载请自行联系原博主。
Leetcode 295 Find Median from Data Stream Median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is the mean of the two middle value. For example, [2,3,4], the median is3 ...
[LeetCode] 295. Find Median from Data Stream Median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is the mean of the two middle value. For example,
Design a data structure that supports the following two operations: void addNum(int num)- Add a integer number from the data stream to the data structure. double findMedian()- Return the median of all elements so far. For example: