Understanding Computational Complexity: A Beginner's Guide to Complexity Classes 📊
Discover the fundamentals of computational complexity theory and explore key complexity classes in this comprehensive tutorial. Perfect for aspiring developers and computer science enthusiasts!
Fullstack Academy
1.9K views • Sep 14, 2016
About this video
Learn more advanced front-end and full-stack development at: https://www.fullstackacademy.com
Computational Complexity Theory is a branch of theoretical computer science that aims to classify computational problems according to their inherent difficulty, and then relate those classes to each other. Complexity Classes are basically a way of grouping problems together. Problems can be grouped by their time complexity or space complexity.
Watch this video to learn:
- What are Complexity Classes
- P vs NP
- A proof of the Computational Complexity of the popular Nintendo video game Pokemon
Computational Complexity Theory is a branch of theoretical computer science that aims to classify computational problems according to their inherent difficulty, and then relate those classes to each other. Complexity Classes are basically a way of grouping problems together. Problems can be grouped by their time complexity or space complexity.
Watch this video to learn:
- What are Complexity Classes
- P vs NP
- A proof of the Computational Complexity of the popular Nintendo video game Pokemon
Tags and Topics
Browse our collection to discover more content in these categories.
Video Information
Views
1.9K
Likes
15
Duration
18:15
Published
Sep 14, 2016
User Reviews
4.1
(1) Related Trending Topics
LIVE TRENDSRelated trending topics. Click any trend to explore more videos.