Meeting Rooms
Meeting Rooms is a Easy Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Greedy Patterns pattern, in the Interval Merging/Scheduling subpattern.
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Problem statement
Implement Solution.canAttendMeetings to determine whether one person can attend every meeting listed in intervals. Each meeting is represented by a two-element interval [start, end], where start is its beginning time and end is its finishing time.
Two meetings conflict when their time ranges overlap, so the person cannot attend both. A meeting ending at time t and another meeting starting at time t do not conflict.
Return true if all meetings can be attended without any conflict; otherwise, return false.
Example 1:
Input: intervals = [] Output: true Explanation: With no meetings scheduled, there is no conflict.
Example 2:
Input: intervals = [[8,11],[2,5],[5,8]] Output: true Explanation: Each meeting finishes exactly when the next one begins, and meetings that only touch at an endpoint do not conflict.
Example 3:
Input: intervals = [[1,4],[3,6],[7,9]] Output: false Explanation: The first two meetings overlap from time 3 through time 4, so both cannot be attended.
Constraints:
- 0 <= intervals.length <= 10^4 - Each element of intervals contains exactly 2 integers - 0 <= intervals[i][0] < intervals[i][1] <= 10^6 - The input intervals may be provided in any order
Topics and companies
Topics: Array, Sorting, Greedy.
How to practise Meeting Rooms on Thita.ai
Starter code is provided in C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(n log n), where n is the number of intervals. time and O(log n) auxiliary space for the sorting algorithm. space.
Open Meeting Rooms in the code editor, or read the Meeting Rooms editorial for a worked solution with its approach and complexity analysis.
Where Meeting Rooms sits in the DSA pattern sheet
- Greedy Patterns pattern guide
- Interval Merging/Scheduling subpattern
- The full DSA patterns sheet
- All coding practice problems
Problems related to Meeting Rooms
Other problems that use the same Interval Merging/Scheduling and Greedy Patterns techniques:
- Divide Intervals Into Minimum Number of Groups — Medium, same subpattern
- Insert Interval — Medium, same subpattern
- Merge Intervals — Medium, same subpattern
- Non-overlapping Intervals — Medium, same subpattern
- Assign Cookies — Easy, same pattern
- Candy — Hard, same pattern