Podcast
Questions and Answers
What does the term 'Big-O notation' refer to in the context of algorithm analysis?
What does the term 'Big-O notation' refer to in the context of algorithm analysis?
- The worst possible outcome in terms of the number of instructions required to complete the algorithm (correct)
- The time complexity of an algorithm regardless of the input size
- The best possible outcome in terms of the number of instructions required to complete the algorithm
- The average outcome in terms of the number of instructions required to complete the algorithm
What is the Big-O notation for a linear search that fails to find the item in the list?
What is the Big-O notation for a linear search that fails to find the item in the list?
- O(n) (correct)
- O(n/2)
- O(n^2)
- O(1)
In algorithm analysis, which scenario represents the worst possible outcome in terms of efficiency?
In algorithm analysis, which scenario represents the worst possible outcome in terms of efficiency?
- Sorting a reversed list
- Finding the item in the middle of the list
- Finding the item in the last position or not at all (correct)
- Finding the correct item on the first element
What is the Big-O notation for a bubble sort that is sorting a reversed list (i.e., a list whose items are ordered highest to lowest)?
What is the Big-O notation for a bubble sort that is sorting a reversed list (i.e., a list whose items are ordered highest to lowest)?
Which of the following data structures has a constant time complexity (O(1)) for insertion and removal operations?
Which of the following data structures has a constant time complexity (O(1)) for insertion and removal operations?
What is the time complexity of a linear search algorithm on an unsorted array of size N?
What is the time complexity of a linear search algorithm on an unsorted array of size N?
Which sorting algorithm has a time complexity of O(N log N) in the average case?
Which sorting algorithm has a time complexity of O(N log N) in the average case?
What is the time complexity of calculating the nth Fibonacci number using a recursive approach without memoization?
What is the time complexity of calculating the nth Fibonacci number using a recursive approach without memoization?
