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Welcome to the Undecidability and Intractable Problems MCQs Page

Dive deep into the fascinating world of Undecidability and Intractable Problems with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Undecidability and Intractable Problems, a crucial aspect of Formal Languages and Automata Theory. In this section, you will encounter a diverse range of MCQs that cover various aspects of Undecidability and Intractable Problems, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Formal Languages and Automata Theory.

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Check out the MCQs below to embark on an enriching journey through Undecidability and Intractable Problems. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Formal Languages and Automata Theory.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Undecidability and Intractable Problems. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Undecidability and Intractable Problems MCQs | Page 7 of 10

Explore more Topics under Formal Languages and Automata Theory

Q61.
In terms of NTIME, NP problems are the set of decision problems which can be solved using a non deterministic machine in _______ time.
Discuss
Answer: (c).O(n^k), k∈N
Q62.
Which of the following can be used to define NP complexity class?
Discuss
Answer: (c).both a and b
Discuss
Answer: (d).None of the mentioned
Q64.
Which of the following does not belong to the closure properties of NP class?
Discuss
Answer: (d).Complement
Discuss
Answer: (c).both a and b
Q66.
Which of the following problems do not belong to Karp’s 21 NP-complete problems?
Discuss
Answer: (d).None of the mentioned
Q67.
Which of the following problems were reduced to Knapsack?
Discuss
Answer: (a).Exact Cover
Q68.
An exact cover problem can be represented using:
Discuss
Answer: (c).both a and b
Q69.
For which of the following, greedy algorithm finds a minimal vertex cover in polynomial time?
Discuss
Answer: (a).tree graphs
Q70.
Hamilton circuit problem can have the following version/s as per the input graph:
Discuss
Answer: (c).both a and b
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