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DSA C++programming~3 mins

Why Meeting Rooms Problem Minimum Rooms Required in DSA C++?

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The Big Idea

Discover how a simple sorting trick solves the chaos of overlapping meetings!

The Scenario

Imagine you are organizing meetings in a small office with only one conference room. You have a list of meeting times, and you try to schedule them one by one by checking if the room is free. But when meetings overlap, you get confused about how many rooms you actually need.

The Problem

Manually checking each meeting against all others to find overlaps is slow and confusing. It's easy to miss overlaps or count rooms incorrectly, especially when many meetings start and end at different times. This leads to mistakes and wasted space.

The Solution

The Meeting Rooms Minimum Rooms Required approach uses sorting and a smart way to track ongoing meetings. By sorting start and end times separately, it quickly finds how many meetings overlap at once, telling exactly how many rooms are needed without confusion.

Before vs After
✗ Before
int rooms = 0;
for (int i = 0; i < n; i++) {
  for (int j = i + 1; j < n; j++) {
    if (meetings[i] overlaps meetings[j]) rooms++;
  }
}
✓ After
sort(start_times.begin(), start_times.end());
sort(end_times.begin(), end_times.end());
int rooms = 0, end_ptr = 0;
for (int i = 0; i < n; i++) {
  if (start_times[i] < end_times[end_ptr]) rooms++;
  else end_ptr++;
}
What It Enables

This method lets you quickly find the minimum number of rooms needed to hold all meetings without conflicts, saving space and planning headaches.

Real Life Example

In a busy office, this helps facility managers decide how many conference rooms to build or book, ensuring no meeting is left without a room.

Key Takeaways

Manual checking of overlaps is slow and error-prone.

Sorting start and end times simplifies overlap detection.

Tracking ongoing meetings gives the minimum rooms needed efficiently.

Practice

(1/5)
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
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