What is the problem statement of the Minimum Number of Platforms?
Given arrival and departure times of trains, find the minimum number of platforms required so that no train waits.
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beginner
Which data structures are commonly used to solve the Minimum Number of Platforms problem?
Arrays or lists to store arrival and departure times, and sorting algorithms to order these times.
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intermediate
Explain the main idea behind the two-pointer approach for Minimum Number of Platforms.
Sort arrival and departure times separately. Use two pointers to traverse both arrays. Increase platform count when a train arrives before or at the earliest departure, decrease when a train departs.
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intermediate
What is the time complexity of the optimal solution for Minimum Number of Platforms?
O(n log n) due to sorting the arrival and departure arrays, where n is the number of trains.
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beginner
Why do we sort arrival and departure times separately in the Minimum Number of Platforms problem?
Sorting separately helps to efficiently compare the next arriving train with the earliest departing train to decide platform allocation.
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What does the Minimum Number of Platforms problem aim to minimize?
ATrain arrival times
BNumber of trains
CNumber of platforms
DTrain departure times
✗ Incorrect
The problem aims to find the minimum number of platforms needed so that no train waits.
Which step is essential before applying the two-pointer technique in this problem?
AReverse the arrival times
BSort arrival and departure times separately
CMerge arrival and departure times
DUse a queue for trains
✗ Incorrect
Sorting arrival and departure times separately allows efficient comparison using two pointers.
If a train arrives after the earliest departure, what should we do with the platform count?
ADecrease platform count
BIncrease platform count
CKeep platform count same
DReset platform count
✗ Incorrect
If a train arrives after the earliest departure, a platform is freed, so we decrease the count.
What is the main reason for using two pointers in this problem?
ATo traverse arrival and departure arrays simultaneously
BTo sort the arrays
CTo store platform numbers
DTo count trains
✗ Incorrect
Two pointers help traverse arrival and departure arrays to compare times efficiently.
What is the overall time complexity of the optimal solution?
AO(n)
BO(n^2)
CO(log n)
DO(n log n)
✗ Incorrect
Sorting takes O(n log n), which dominates the overall time complexity.
Describe the step-by-step approach to find the minimum number of platforms needed for trains given their arrival and departure times.
Think about how to compare arrival and departure times efficiently.
You got /6 concepts.
Explain why sorting arrival and departure times separately is important in solving the Minimum Number of Platforms problem.
Consider how sorted times help in deciding platform usage.
You got /4 concepts.
Practice
(1/5)
1. What does the "Minimum Number of Platforms" problem ask you to find given train arrival and departure times?
easy
A. The total time trains spend at the station
B. The least number of platforms needed so no train waits
C. The maximum speed of any train
D. The total number of trains arriving in a day
Solution
Step 1: Understand the problem context
The problem wants to find how many platforms are needed so that no train has to wait for another to leave.
Step 2: Identify the key output
The output is the minimum number of platforms required to handle all trains without delay.
Final Answer:
The least number of platforms needed so no train waits -> Option B
Quick Check:
Minimum platforms = no waiting trains [OK]
Hint: Count overlapping trains to find minimum platforms needed [OK]
Common Mistakes:
Confusing total trains with platforms needed
Ignoring overlapping arrival and departure times
Thinking about train speed or duration instead
2. Which of the following C# code snippets correctly declares arrays for arrival and departure times for the Minimum Number of Platforms problem?
easy
A. int arrival = [900, 940, 950]; int departure = [910, 1200, 1120];
B. int arrival[] = (900, 940, 950); int departure[] = (910, 1200, 1120);
A. The comparison should be 'arrival[i] < departure[j]' instead of '<='
B. The loop condition should be 'i < arrival.Length || j < departure.Length'
C. The arrays should not be sorted before processing
D. The platforms variable should not be incremented
Solution
Step 1: Analyze the comparison operator in the loop
Using '<=' causes counting a train as arriving exactly when another departs, increasing platforms unnecessarily.
Step 2: Correct comparison to '<' to avoid overlap at exact departure time
Changing to '<' means a train arriving at the same time another departs does not increase platform count.
Final Answer:
The comparison should be 'arrival[i] < departure[j]' instead of '<=' -> Option A
Quick Check:
Use '<' to avoid counting simultaneous arrival and departure as overlap [OK]
Hint: Use '<' not '<=' when comparing arrival and departure [OK]
Common Mistakes:
Using '<=' causes overcounting platforms
Not sorting arrays before processing
Incorrect loop condition causing missed trains
5. Given arrival times [900, 940, 950, 1100, 1500, 1800] and departure times [910, 1200, 1120, 1130, 1900, 2000], how would you modify the algorithm to also return the time intervals when the maximum number of platforms are needed?
hard
A. Track intervals when platform count equals max during iteration and store them
B. Return only the maximum platform count without intervals
C. Sort only arrival times and ignore departure times
D. Count total trains without checking overlaps
Solution
Step 1: Modify algorithm to track platform count changes
While iterating, record start time when platforms reach max and end time when count drops.
Step 2: Store intervals where platform count equals maximum
Keep a list of intervals with max platforms to return after processing all times.
Final Answer:
Track intervals when platform count equals max during iteration and store them -> Option A
Quick Check:
Record max platform intervals during count updates [OK]
Hint: Save start/end times when platform count hits max [OK]
Common Mistakes:
Ignoring time intervals, returning only counts
Not updating intervals when platform count changes
Sorting only one array causing wrong intervals
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