Algorithm Design | Complexity Theory | P, NP, CO-NP, NP COMPLETE, NP HARD #algorithm#algorithmdesign

Lecture Note:
https://drive.google.com/file/d/1-avExI5mylIGUwuYJ50gj7Xh-n4_ZeA-/view?usp=drive_link

Title: "Complexity Theory's Introduction and P, NP, CO-NP, NP COMPLETE, NP HARD"

Description:
🚀 In this video, we break down the intricate concepts of Complexity Theory into digestible chunks, making it accessible to everyone, whether you're a seasoned researcher or just starting to explore the realm of computational complexity. From understanding the basics of computational complexity classes like P, NP, NP-hard, and NP-complete problems to exploring chaos theory, fractals, cellular automata, network theory, and agent-based modeling, we cover it all!

🔍 In this tutorial, we break down the intricate concepts of Complexity Theory into digestible chunks, making it accessible to everyone, whether you're a seasoned researcher or just starting to explore the realm of computational complexity. From understanding the basics of computational complexity classes like P, NP, NP-hard, and NP-complete problems to exploring chaos theory, fractals, cellular automata, network theory, and agent-based modeling, we cover it all!

🧠 Key Topics Covered:
1️⃣ Introduction to Complexity Theory
2️⃣ Understanding the Complexity Theory
3️⃣ Visualizing Complexity Theory
4️⃣ The Fundamental Theorem: Complexity Theory
5️⃣ Applications of Complexity Theory
6️⃣ Solving Complexity Theory
7️⃣ Tips for Complexity Theory

💻 Whether you're preparing for interviews or looking to enhance your algorithmic skills, this tutorial provides the intricate concepts of Complexity Theory into digestible chunks, making it accessible to everyone, whether you're a seasoned researcher or just starting to explore the realm of computational complexity. From understanding the basics of computational complexity classes like P, NP, NP-hard, and NP-complete problems to exploring chaos theory, fractals, cellular automata, network theory, and agent-based modeling, we cover it all!

📚 Resources:
1️⃣ Algorithm Design by Jon Kleinberg, Éva Tardos
https://drive.google.com/file/d/1et7GCjDFLqbNhVUyjMo2ruwVKsuMQd2P/view?usp=drive_link
2️⃣ Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald Rivest, Clifford Stein
https://drive.google.com/file/d/1htw_HQohLIRDgVttA1RkpUdiLQ4VWUcc/view?usp=drive_link

Unlock the power of algorithms! In this video, we dive deep into the Design and Analysis of Algorithms, providing a clear understanding of fundamental concepts, types of algorithms, and key techniques like Divide and Conquer, Dynamic Programming, and Greedy Algorithms. Whether you're a beginner or preparing for competitive programming, this guide is tailored for you. 📈

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Видео Algorithm Design | Complexity Theory | P, NP, CO-NP, NP COMPLETE, NP HARD #algorithm#algorithmdesign канала EduSyl