# Algorithm Complexity Quiz

Narrated quiz · 10 questions/11 slides

Algorithm Complexity Quiz

Are you ready to delve into the fascinating world of **algorithm complexity**? This quiz will take you on a journey through various algorithms, testing your understanding of their performance characteristics. From sorting techniques such as *Bubble Sort*, **Quick Sort**, and **Merge Sort** to essential search methods like **Linear Search** and **Binary Search**, you'll explore the different time complexities and when they might be at their worst, best, or average performance.

Furthermore, you’ll be challenged to differentiate complexities in specialized algorithms like the **Fast Fourier Transform** and the remarkable **Fast Inverse Square Root**. You will also face classic computational problems like the **Traveling Salesman Problem** and the **recursive Fibonacci sequence** function. Get ready to test and deepen your knowledge about algorithm efficiency and how these mathematical models impact the real world. Whether you're an aspiring programmer or a seasoned computer scientist, there's something in this quiz for everyone!

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### RELATED QUIZZES

### QUESTIONS IN THIS 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