Podcast
Questions and Answers
Which time complexity is required to solve a problem by sorting the list first and then finding the top k elements?
Which time complexity is required to solve a problem by sorting the list first and then finding the top k elements?
- $O(n)$
- $O(n \log(k))$
- $O(n \log(n))$ (correct)
- $O(k)$
Which time complexity is required to solve a problem using the top k elements pattern without sorting the list first?
Which time complexity is required to solve a problem using the top k elements pattern without sorting the list first?
- $O(n)$
- $O(k)$
- $O(n \log(k))$ (correct)
- $O(n \log(n))$
Which data structure is the best to keep track of the smallest or largest k elements?
Which data structure is the best to keep track of the smallest or largest k elements?
- Array
- Stack
- Heap (correct)
- Linked List
Which type of heap should be used to find the smallest k elements?
Which type of heap should be used to find the smallest k elements?
Which type of heap should be used to find the largest k elements?
Which type of heap should be used to find the largest k elements?
Which data structure provides O(1) access to the top k elements?
Which data structure provides O(1) access to the top k elements?
What is the time complexity of finding the top k elements using a min-heap?
What is the time complexity of finding the top k elements using a min-heap?
When does the 'Top K Elements' pattern not apply?
When does the 'Top K Elements' pattern not apply?
Which real-world problem can be solved using the 'Top K Elements' pattern?
Which real-world problem can be solved using the 'Top K Elements' pattern?
What is the output string when sorting the characters 'buubble' by frequency using the 'Top K Elements' pattern?
What is the output string when sorting the characters 'buubble' by frequency using the 'Top K Elements' pattern?
