Meeting Rooms Problem Minimum Rooms Required in DSA C++ - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of the Meeting Rooms Problem Minimum Rooms Required?

To find the minimum number of meeting rooms needed to schedule all given meetings without overlap.

intermediate

Which data structure is commonly used to track ongoing meetings in the Meeting Rooms Problem?

A min-heap (priority queue) is used to track the earliest finishing meeting to efficiently allocate rooms.

beginner

Why do we sort meetings by their start time in the Meeting Rooms Problem?

Sorting by start time helps process meetings in chronological order, making it easier to allocate rooms as meetings begin.

intermediate

What does it mean if the start time of the current meeting is greater than or equal to the earliest finishing meeting in the min-heap?

It means a room has freed up, so we can reuse that room for the current meeting by updating the finishing time in the min-heap.

beginner

How do you determine the minimum number of rooms required after processing all meetings?

The maximum size reached by the min-heap during processing represents the minimum number of rooms needed.

What is the first step in solving the Meeting Rooms Problem Minimum Rooms Required?

A Use a stack to store meetings

B Sort meetings by their end time

C Sort meetings by their start time

D Count total meetings directly

Sorting meetings by start time allows us to process them in chronological order.

Which data structure helps efficiently track the earliest finishing meeting?

A Hash map

B Queue

C Stack

D Min-heap (priority queue)

A min-heap keeps the earliest finishing meeting at the top for quick access.

If a meeting starts after the earliest finishing meeting ends, what should you do?

A Reuse the freed room by updating the finishing time

B Remove all meetings from the heap

C Ignore the meeting

D Add a new room

You can reuse the room by updating the finishing time in the min-heap.

What does the maximum size of the min-heap represent?

A Minimum rooms required

B Maximum meeting duration

C Total meetings

D Number of overlapping meetings

The maximum min-heap size shows how many rooms are needed simultaneously.

Why can't we just count overlapping meetings to find minimum rooms?

A Because meetings can be rearranged

B Because overlapping intervals vary and need careful tracking

C Because meetings always overlap

D Because counting is slow

Overlaps vary in time and require tracking earliest finishing meetings to reuse rooms.

Explain the step-by-step approach to find the minimum number of meeting rooms required.

Think about how to track ongoing meetings and reuse rooms.

Describe how a min-heap helps in solving the Meeting Rooms Problem.

Focus on how min-heap manages meeting end times.

Practice

1. What does the "Meeting Rooms Problem Minimum Rooms Required" ask you to find given a list of meeting time intervals?

easy

A. The maximum length of a single meeting

B. The total number of meetings scheduled

C. The minimum number of rooms needed so no meetings overlap

D. The earliest meeting start time

Solution

1. Step 1: Understand the problem goal

   The problem asks for the minimum number of rooms needed so that no two meetings overlap in the same room.

2. Step 2: Clarify what is being counted

   We count how many meetings happen at the same time to find the minimum rooms required.

3. Final Answer:

   The minimum number of rooms needed so no meetings overlap -> Option C

4. Quick Check:

   Minimum rooms = max overlapping meetings [OK]

Hint: Count max overlapping meetings to find minimum rooms [OK]

Common Mistakes:

• Confusing total meetings with rooms needed
• Thinking earliest start time is the answer
• Ignoring overlapping intervals

2. Which of the following C++ code snippets correctly sorts a vector of meeting intervals by their start time? Assume intervals is a vector of pairs where first is start and second is end time.

easy

A. std::sort(intervals.begin(), intervals.end(), [](auto &a, auto &b) { return a.first > b.first; });

B. std::sort(intervals.begin(), intervals.end(), [](auto &a, auto &b) { return a.first < b.first; });

C. std::sort(intervals.rbegin(), intervals.rend());

D. std::sort(intervals.begin(), intervals.end(), [](auto &a, auto &b) { return a.second < b.second; });

Solution

1. Step 1: Identify sorting by start time

   We want to sort intervals by their start time, which is stored in a.first.

2. Step 2: Check lambda comparator correctness

   std::sort(intervals.begin(), intervals.end(), [](auto &a, auto &b) { return a.first < b.first; }); uses a lambda comparing a.first < b.first, which sorts ascending by start time correctly.

3. Final Answer:

   std::sort(intervals.begin(), intervals.end(), [](auto &a, auto &b) { return a.first < b.first; }); -> Option B

4. Quick Check:

   Sort by start time ascending [OK]

Hint: Sort intervals by start time using lambda with a.first < b.first [OK]

Common Mistakes:

• Sorting by end time instead of start time
• Using default sort without comparator (may sort by first but not guaranteed)
• Sorting descending when ascending is needed

3. What is the output of the following C++ code snippet that calculates the minimum number of meeting rooms required?

std::vector> intervals = {{0,30}, {5,10}, {15,20}};
std::vector<int> starts, ends;
for(auto &i : intervals) {
    starts.push_back(i.first);
    ends.push_back(i.second);
}
std::sort(starts.begin(), starts.end());
std::sort(ends.begin(), ends.end());
int rooms = 0, end_ptr = 0;
for(int i = 0; i < starts.size(); i++) {
    if(starts[i] < ends[end_ptr]) rooms++;
    else end_ptr++;
}
std::cout << rooms << std::endl;

medium

A. 2

B. 3

C. 1

D. 0

Solution

1. Step 1: Sort start and end times

   Starts = [0,5,15], Ends = [10,20,30]

2. Step 2: Iterate and count rooms

   i=0: 0<10 true rooms=1
   i=1: 5<10 true rooms=2
   i=2: 15<10 false end_ptr=1 rooms=2

3. Final Answer:

   2 -> Option A

4. Quick Check:

   Max overlapping meetings = 2 [OK]

Hint: Compare starts and ends with two pointers to count rooms [OK]

Common Mistakes:

• Not sorting start and end arrays
• Incrementing rooms incorrectly
• Confusing when to move end pointer

4. The following code attempts to find the minimum number of meeting rooms needed but has a bug. What is the bug?

std::vector> intervals = {{1,5}, {2,6}, {8,10}};
std::sort(intervals.begin(), intervals.end());
int rooms = 1;
for(int i = 1; i < intervals.size(); i++) {
    if(intervals[i].first < intervals[i-1].second) rooms++;
}
std::cout << rooms << std::endl;

medium

A. The loop should start from i = 0, not i = 1

B. The intervals vector is not sorted correctly

C. The rooms variable should start at 0, not 1

D. It only compares each meeting with the previous one, missing overlaps with earlier meetings

Solution

1. Step 1: Analyze overlap check logic

   The code only checks if current meeting starts before previous meeting ends, ignoring overlaps with other meetings.

2. Step 2: Understand why this causes error

   This misses cases where a meeting overlaps with a meeting before the previous one, undercounting rooms needed.

3. Final Answer:

   It only compares each meeting with the previous one, missing overlaps with earlier meetings -> Option D

4. Quick Check:

   Check all overlaps, not just adjacent meetings [OK]

Hint: Check overlaps with all active meetings, not just previous [OK]

Common Mistakes:

• Assuming sorting fixes all overlap checks
• Starting loop at wrong index
• Incorrect initial rooms count

5. Given the following meeting intervals: {{0, 10}, {5, 15}, {10, 20}, {15, 25}, {20, 30}}, what is the minimum number of meeting rooms required to schedule all meetings without overlap?

hard

A. 2

B. 4

C. 3

D. 1

Solution

1. Step 1: Sort start and end times

   Starts = [0,5,10,15,20], Ends = [10,15,20,25,30]

2. Step 2: Use two pointers to count rooms

   i=0: 0<10 rooms=1
   i=1: 5<10 rooms=2
   i=2: 10<10 false end_ptr=1 rooms=2
   i=3: 15<15 false end_ptr=2 rooms=2
   i=4: 20<20 false end_ptr=3 rooms=2

3. Final Answer:

   2 -> Option A

4. Quick Check:

   Max overlapping meetings = 2 [OK]

Hint: Track starts and ends with pointers to find max overlaps [OK]

Common Mistakes:

• Counting all meetings as overlapping
• Not moving end pointer correctly
• Misreading intervals causing wrong overlaps