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

Explore the essential differences between P, NP, NP-Hard, and NP-Complete problems in this concise 11-minute lecture. Perfect for grasping core concepts in computational complexity!

CS & AI Learning with Arfan Wazeer | PhD Scholar45 views10:21

About this video

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.

📌 Watch Next:
👉 9th Class Computer Science Playlist

👉 11th Class Computer Science Playlist

📍 Follow KIMS College for More Content:
#ProblemSolvability #ComplexityClasses #TheoryOfComputation #ComputerScience #PvsNP #KIMSCollege #exampreparation

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45

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1

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Duration
10:21

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Published
Aug 26, 2025

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Quality
hd

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