Understanding P, NP, NP-Hard, and NP-Complete: Key Concepts in Computational Complexity 🧠

In this 11-minute lecture, we discuss the fundamental concepts of problem solvability and complexity classes in Computer Science.
You will learn:

What is Problem Solvability?

Decidable vs. Undecidable Problems

Complexity Classes (P, NP, NP-Complete, NP-Hard)

Real-life examples of each class

Why P vs NP is one of the biggest open questions in Computer Science

This lecture is explained from:
🔹 Exam Point of View (important theory concepts)
🔹 Conceptual Point of View (clear understanding)
🔹 Practical Point of View (real-world applications and research relevance)

Whether you are a Computer Science student (FSc, BS, or MS/PhD) or preparing for exams, this video will help you grasp the basics of computational complexity.

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