Meeting Rooms II
Explore how to determine the minimum number of meeting rooms needed to schedule overlapping meetings efficiently. Understand interval handling, problem constraints, and learn strategies to optimize scheduling using algorithmic thinking and coding practice.
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Statement
We are given an input array of meeting time intervals, intervals, where each interval has a start time and an end time. Your task is to find the minimum number of meeting rooms required to hold these meetings.
An important thing to note here is that the specified end time for each meeting is exclusive.
Constraints
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intervals.length
Examples
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the correct problem:
Meeting time intervals = [ [1, 3], [2, 6], [8, 10], [9, 15], [12, 14] ]
How many meeting rooms are required to hold these meetings?
3
1
2
Figure it out!
We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.
Note: As an additional challenge, we have intentionally hidden the solution to this puzzle.
Try it yourself
Implement your solution in the following coding playground.
We have left the solution to this challenge as an exercise for you. The optimal solution to this problem runs in O(n*log(n)) time and takes O(n) space. You may try to translate the logic of the solved puzzle into a coded solution.
import { MinHeap, MaxHeap } from "./Heap.js";/* The following definition is for MinHeap.You can use the same methods for MaxHeap.class MinHeap {size(); // return number of elementspeek(); // return top element without removingpush(val); // insert elementpop(); // remove and return top element}*/function findSets(intervals){// Replace this placeholder return statement with your codereturn -1;}export {findSets}