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Undergrad Complexity at CMU - From P-Completeness to PSPACE-Completeness

Offered By: Ryan O'Donnell via YouTube

Tags

Computational Complexity Theory Courses

Course Description

Overview

Explore the intricacies of NP-completeness, P-completeness, and PSPACE-completeness in this comprehensive lecture from Carnegie Mellon University's Undergraduate Computational Complexity Theory course. Delve into topics such as reductions, clauses, logspace, and the Cook-Levin Theorem as part of the Spring 2017 15-455 course taught by Professor Ryan O'Donnell. Gain a deeper understanding of computational complexity theory through this 80-minute video, which covers Sipser Chapter 8.3 up to the PSPACE-completeness of TQBF. Enhance your knowledge of theoretical computer science and prepare for advanced concepts in complexity theory.

Syllabus

Introduction
PCompleteness
Reductions
Clauses
Logspace
Cooklevin Theorem
PSPACEComplete


Taught by

Ryan O'Donnell

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