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medium
Greedy

Meeting Rooms II (Min Rooms)

**Problem Statement:** Given the required input arguments, write an efficient algorithm to solve the **Meeting Rooms II (Min Rooms)** problem. Implement the required logic as specified by standard definitions for this classic algorithmic challenge. **Hint / Expected Approach:** Sort + min-heap of end times **Edge Cases to Consider:** - (1) No overlap (1 room) - (2) All overlap (n rooms) - (3) Back-to-back meetings

Examples

Example 1
Input: [[0,30],[5,10],[15,20]]
Output: 2
Explanation: Classic
Example 2
Input: [[7,10],[2,4]]
Output: 1
Explanation: No overlap
Example 3
Input: []
Output: 0
Explanation: No meetings

Constraints

  • ▪Input arguments are within valid ranges
  • ▪Optimize for execution speed
  • ▪Handle null/empty inputs gracefully

Watch Out For Edge Cases

  • ▪No overlap (1 room)
  • ▪All overlap (n rooms)
  • ▪Back-to-back meetings
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