Algorithm Complexity Quiz
Fortalt quiz · 10 spørgsmål/11 slides
Algorithm Complexity Quiz
Get ready to explore the world of algorithm complexity with this quiz. You’ll look at common algorithms and test your understanding of how fast or slow they can be. From sorting methods like Bubble Sort, Quick Sort, and Merge Sort to search techniques such as Linear Search and Binary Search, you’ll learn how their time complexity changes in the best, worst, and average cases.
You’ll also compare more specialized algorithms like the Fast Fourier Transform and the Fast Inverse Square Root, and revisit well-known problems such as the Traveling Salesman Problem and the recursive Fibonacci function. Whether you’re new to programming or already experienced, this quiz helps you strengthen your knowledge of algorithm efficiency and how it affects real-world computing.
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SPØRGSMÅL I DENNE QUIZ
What is the worst-case complexity of the Bubble Sort algorithm?
- O(log n)
- O(n)
- O(n * log n)
- O(n^2)
What is the average time complexity of Quick Sort?
- O(log n)
- O(n)
- O(n * log n)
- O(n^2)
What is the time complexity of Merge Sort?
- O(log n)
- O(n)
- O(n * log n)
- O(n^2)
What is the worst-case time complexity of Linear Search?
- O(1)
- O(log n)
- O(n)
- O(n^2)
What is the worst-case time complexity of Binary Search?
- O(1)
- O(log n)
- O(n)
- O(n * log n)
What is the time complexity of the Fast Fourier Transform (FFT)?
- O(1)
- O(n)
- O(n log n)
- O(n^2)
What is the complexity of the Fast Inverse Square Root algorithm?
- O(1)
- O(log n)
- O(n)
- O(n * log n)
What is the time complexity of a brute force solution for the Traveling Salesman Problem (TSP)?
- O(n)
- O(n log n)
- O(n^2)
- O(n!)
What is the time complexity of a recursive Fibonacci sequence function?
- O(1)
- O(log n)
- O(n)
- O(2^n)
Which of the following algorithms has O(n^3) complexity?
- Bubble sort
- Binary search
- Standard matrix multiplication
- Dijkstra's algorithm
Algorithm Complexity Quiz