[LeetCode] 253. Meeting Rooms II 会议室 II
Given an array of meeting time intervals consisting of start and end times [[s1,e1],[s2,e2],...] (si < ei), find the minimum number of conference rooms required.
For example,
Given [[0, 30],[5, 10],[15, 20]],
return 2.
252. Meeting Rooms 的拓展,同样给一个开会的区间数组,返回最少需要的房间数。
解法1: 把区间变成2个数组:start时间数组和end时间数组,并对两个数组排序。然后一个指针遍历start数组,另一个指针指向end数组。如果start时间小于end时间,房间数就加1,start时间加1,比较并记录出现过的最多房间数。start时间大于end,则所需房间数就减1,end指针加1。
解法2:最小堆minHeap,先按start排序,然后维护一个minHeap,堆顶元素是会议结束时间最早的区间,也就是end最小。每次比较top元素的end时间和当前元素的start时间,如果end < start,说明该room可以结束接下来被当前会议区间使用。最后返回堆的大小就是所需的房间数。
面试follow up: 结果要将会议名称跟对应房间号一起返回,而不仅仅是算需要的房间数目。
Java:
/**
* Definition for an interval.
* public class Interval {
* int start;
* int end;
* Interval() { start = 0; end = 0; }
* Interval(int s, int e) { start = s; end = e; }
* }
*/
public class Solution {
public int minMeetingRooms(Interval[] intervals) {
if(intervals == null || intervals.length == 0) return 0;
int min = 0; int max = 0;
for(int i=0; i<intervals.length; i++){
min = Math.min(min, intervals[i].start);
max = Math.max(max, intervals[i].end);
} int[] count = new int[max-min+1];
for(int i=0; i<intervals.length; i++){
count[intervals[i].start]++;
count[intervals[i].end]--;
}
int maxroom = Integer.MIN_VALUE;
int num = 0;
for(int i=0; i<count.length; i++){
num += count[i];
maxroom = Math.max(maxroom, num);
}
return maxroom;
}
}
Java:minHeap
public class Solution {
public int minMeetingRooms(Interval[] intervals) {
int n=intervals.length;
Arrays.sort(intervals, new Comparator<Interval>(){
public int compare(Interval a, Interval b) {
return a.start-b.start;
}
});
PriorityQueue<Integer> pq=new PriorityQueue<>();
for (int i=0; i<n; i++) {
if (i>0 && intervals[i].start>=pq.peek()) pq.poll();
pq.add(intervals[i].end);
}
return pq.size();
}
}
Python:
class Solution:
# @param {Interval[]} intervals
# @return {integer}
def minMeetingRooms(self, intervals):
starts, ends = [], []
for i in intervals:
starts.append(i.start)
ends.append(i.end) starts.sort()
ends.sort() s, e = 0, 0
min_rooms, cnt_rooms = 0, 0
while s < len(starts):
if starts[s] < ends[e]:
cnt_rooms += 1 # Acquire a room.
# Update the min number of rooms.
min_rooms = max(min_rooms, cnt_rooms)
s += 1
else:
cnt_rooms -= 1 # Release a room.
e += 1 return min_rooms
C++:
class Solution {
public:
int minMeetingRooms(vector<Interval>& intervals) {
vector<int> starts, ends;
for (const auto& i : intervals) {
starts.emplace_back(i.start);
ends.emplace_back(i.end);
}
sort(starts.begin(), starts.end());
sort(ends.begin(), ends.end());
int min_rooms = 0, cnt_rooms = 0;
int s = 0, e = 0;
while (s < starts.size()) {
if (starts[s] < ends[e]) {
++cnt_rooms; // Acquire a room.
// Update the min number of rooms.
min_rooms = max(min_rooms, cnt_rooms);
++s;
} else {
--cnt_rooms; // Release a room.
++e;
}
}
return min_rooms;
}
};
C++: minHeap
class Solution {
public:
int minMeetingRooms(vector<Interval>& intervals) {
sort(intervals.begin(), intervals.end(), [](const Interval &a, const Interval &b){return a.start < b.start;});
priority_queue<int, vector<int>, greater<int>> q;
for (auto a : intervals) {
if (!q.empty() && q.top() <= a.start) q.pop();
q.push(a.end);
}
return q.size();
}
};
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[LeetCode] 252. Meeting Rooms 会议室
[LeetCode] 56. Merge Intervals 合并区间
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