leetcode - 253. Meeting Rooms II

Description

Given an array of meeting time intervals intervals where intervalsi = starti, endi, return the minimum number of conference rooms required.

Example 1:

复制代码
Input: intervals = [[0,30],[5,10],[15,20]]
Output: 2

Example 2:

复制代码
Input: intervals = [[7,10],[2,4]]
Output: 1

Constraints:

复制代码
1 <= intervals.length <= 10^4
0 <= starti < endi <= 10^6

Solution

Heap

Solved after hints...

Think about how we would approach this problem in a very simplistic way. We will allocate rooms to meetings that occur earlier in the day v/s the ones that occur later on, right?

If you've figured out that we have to sort the meetings by their start time, the next thing to think about is how do we do the allocation?

There are two scenarios possible here for any meeting. Either there is no meeting room available and a new one has to be allocated, or a meeting room has freed up and this meeting can take place there.

So use a min-heap to store the ending time, every time we visit a new interval, compare the start time with the earliest ending time. If the start time begins later than the earliest ending time, then we could free up the room and allocate the room to the new interval. Otherwise we need to assign a new room for the new interval.

Time complexity: o ( n log ⁡ n ) o(n\log n ) o(nlogn)

Space complexity: o ( n ) o(n) o(n)

Sort + sweep

For all start, +1 at the point, and -1 for all ending points. Then sweep through all the points.

Time complexity: o ( n log ⁡ n ) o(n\log n) o(nlogn)

Space complexity: o ( 1 ) o(1) o(1)

Code

Heap

python3 复制代码
class Solution:
    def minMeetingRooms(self, intervals: List[List[int]]) -> int:
        heap = []
        intervals.sort(key=lambda x: x[0])
        res = 0
        for i in range(len(intervals)):
            if heap and heap[0] <= intervals[i][0]:
                heapq.heappop(heap)
            heapq.heappush(heap, intervals[i][1])
            res = max(res, len(heap))
        return res

Sort + sweep

python3 复制代码
class Solution:
    def minMeetingRooms(self, intervals: List[List[int]]) -> int:
        meetings = {}
        for start, end in intervals:
            meetings[start] = meetings.get(start, 0) + 1
            meetings[end] = meetings.get(end, 0) - 1
        points = sorted(meetings)
        res = 0
        room = 0
        for each_point in points:
            room += meetings[each_point]
            res = max(res, room)
        return res
相关推荐
倒头就睡的小比特2 天前
算法竞赛C++常用的STL
c++·算法
小羊没烦恼!2 天前
初探性能优化——2个月到4小时的性能提升
java·开发语言·windows·算法·c#
猎头南楼2 天前
知识社区推荐系统实践:新用户冷启动与长短期兴趣建模的挑战 资深推荐算法工程师
人工智能·深度学习·算法·机器学习
旖旎夜光2 天前
力控面试题 01.01: 判定字符是否唯一(位运算) —— 题解
c++·学习·算法·leetcode·力控
wzdark2 天前
大规模并行计算中的负载均衡算法研究4
算法
Because_of_Her12 天前
并查集-听课笔记
笔记·算法·并查集
码流子2 天前
高速公路安全监测实践:碰撞监测预警+物联网底座,从感知到处置的闭环
大数据·人工智能·物联网·算法·架构
another heaven3 天前
【算法/C++ MD5算法能否逆解码?原理、C++实现与同类哈希算法对比】
c++·算法·哈希算法
wzdark3 天前
从算法设计模式看编程思维的抽象能力4
算法
2601_962218613 天前
万象生鲜系统称重自动多退少补算法解决生鲜非标品痛点
大数据·数据库·人工智能·python·算法