Understanding Css 203 1 Computational Complexity Lecture 29
Let's dive into the details surrounding Css 203 1 Computational Complexity Lecture 29. Agenda: PCP Theorem(s) and applications to inapproximability results Instructor: Prahladh Harsha.
Key Takeaways about Css 203 1 Computational Complexity Lecture 29
- Agenda: Arthur-Merlin protocols, MA, AM, properties of AM protocols, GI - NP-complete? public coins = private coins. Instructor: ...
- Agenda: What is a proof?; Graph non-isomorphism; Interactive Proofs (formal definition); what we can prove; an interactive proof ...
- Agenda: Multiprover interactive proofs (MIP), MIP=NEXP, Introduction to PCPs, The PCP Theorem Instructor: Prahladh Harsha.
- Agenda: Approximate counting with an NP oracle; self-reducibility properties of the Permanent Instructor: Ramprasad Saptharishi.
- Agenda: Zero-knowledge;
Detailed Analysis of Css 203 1 Computational Complexity Lecture 29
Agenda: Conclusion - What we saw and didn't see in this course Instructor: Ramprasad Saptharishi. Agenda: Hardness of approximating clique (FGLSS reduction), PCPs and more Instructor: Prahladh Harsha. Agenda: Promise problems; Unique-SAT; the Valiant-Vazirani Lemma; introduction to #P Instructor: Ramprasad Saptharishi.
These videos were created to accompany a university course, Numerical Methods for Engineers, taught Spring 2013. The text ...
That wraps up our extensive overview of Css 203 1 Computational Complexity Lecture 29.
