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
To_OC5 小时前
LC 131 分割回文串:刚学回溯时,我连怎么切字符串都想不明白
javascript·算法·leetcode
旖-旎6 小时前
LeetCode 518:零钱兑换||(完全背包)—— 题解
c++·算法·leetcode·动态规划·背包问题
To_OC7 小时前
LC 42 接雨水:暴力超时卡半天?前后缀数组一用就通了
javascript·算法·leetcode
delishcomcn7 小时前
AI视觉识别+分切算法:电化铝缺陷检测与裁切一体化解锁
人工智能·算法
触底反弹8 小时前
深入理解大模型采样:Temperature、Top-K、Top-P 的原理与实战
人工智能·算法·面试
雪碧聊技术8 小时前
力扣 LCR 091. 粉刷房子 —— 动态规划入门详解
算法·动态规划
CV-Climber11 小时前
检索技术的实际应用
人工智能·算法
hhzz11 小时前
Tiger AI Platform平台中增加人脸识别功能
图像处理·人工智能·算法·计算机视觉·大模型
从零开始的代码生活_12 小时前
C++ 继承详解:访问控制、对象模型、菱形继承与设计取舍
开发语言·c++·后端·学习·算法