Computational Theory MCQ Test: Computational Theory MCQs - Practice Questions
1. Define 'binary tree'.
2. What is 'algorithmic complexity'?
3. Define Turing completeness and its significance in the context of computation.
4. What does the Cook-Levin theorem state?
5. What does NP stand for in computational theory?
6. Which complexity class contains problems that are solvable in polynomial time?
7. Explain the concept of 'bit manipulation'.
8. Define 'finite state machine'.
9. Which complexity class is believed to contain problems that are inherently difficult to solve?
10. What does the concept of recursion in computational theory primarily address?
11. In computational theory, what does P vs NP refer to?
12. Define the term 'finite automaton'.
13. Define 'graph theory'.
14. Discuss the significance of the halting problem in computational theory.
15. What is a hashing function?
16. What does 'asymptotic notation' represent?
17. Explain the term 'database normalization'.
18. Which of the following is an undecidable problem?
19. Explain the concept of 'recurrence relation'.
20. What is the difference between a stack and a queue?
21. What is a binary search?
22. Define 'regular expression'.
23. What is a 'heap' in data structures?
24. What does the Turing Machine model represent?
25. What is the P vs. NP problem and why is it considered one of the most important unsolved problems in computer science?
26. Which computational problem is often associated with the traveling salesman problem?
27. What is the time complexity of the Quick Sort algorithm in the worst case?
28. Define algorithm.
29. What is the primary purpose of a compiler?
30. What does the Hierarchy Theorem in computational complexity theory suggest?