P vs. NP Problem | What is P vs NP | Computational Complexity | Intellipaat

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In this video on “P vs NP Problem”, you will learn about what is an NP problem and what are decision problems. This video includes, what is meant by the Turing machine, Deterministic and Nondeterministic Turing machines, complexity classes, and characteristics of NP problems.

🔵 What is the P and NP problem?
P is a set of problems that a deterministic Turing machine can solve in Polynomial-time.
NP is a collection of decision problems that can be solved in polynomial time by a Non-deterministic Turing Machine.

🔵What is the P vs NP problem?
The P versus NP problem asks whether every language accepted by some nondeterministic polynomial-time algorithm is also accepted by some (deterministic) polynomial-time algorithm. A formal model of a computer must be provided in order to define the issue precisely. Alan Turing introduced the Turing machine in 1936 as the standard computer model in computability theory.

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#PvsNPProblem #WhatisPvsNP #ComputationalComplexity #intellipaat

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🔵 Following topics are covered in this session:
0:00 - Introduction to NP Problem
0:58 - Some Important Terms in NP Problem
1:49 - What are Decision Problems?
2:23 - Complexity Classes
2:53 - What is meant by Turing Machine?
3:12 - Deterministic and Nondeterministic Turing Machine
3:41 - What is NP Problem?
4:22 - Why some NP Problems are Hard to Solve?
4:49 - Characteristics of NP Problems
5:30 - Conclusion


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