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1
Introduction
2
PCompleteness
3
Reductions
4
Clauses
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Logspace
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Cooklevin Theorem
7
PSPACEComplete
Description:
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.

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

Ryan O'Donnell
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