Exploring Css 203 1 Computational Complexity Lecture 20
Let's dive into the details surrounding Css 203 1 Computational Complexity Lecture 20.
- We introduce the Multinomial distribution, which is arguably the most important multivariate discrete distribution, and discuss its ...
- Undergraduate
- Agenda: Arthur-Merlin protocols, MA, AM, properties of AM protocols, GI - NP-complete? public coins = private coins. Instructor: ...
- Agenda: #P; decision vs counting; #P-completeness of #SAT; #P-completeness of Permanent. Instructor: Ramprasad Saptharishi.
- Agenda: Toda's theorem: intro. to ⊕SAT, randomised reduction from PH to ⊕SAT, derandomisation via a #P query Instructor: ...
In-Depth Information on Css 203 1 Computational Complexity Lecture 20
Agenda: Approximate counting with an NP oracle; self-reducibility properties of the Permanent Instructor: Ramprasad Saptharishi. Agenda: What is a proof?; Graph non-isomorphism; Interactive Proofs (formal definition); what we can prove; an interactive proof ... Agenda: IP ⊂ PSPACE; P^#P ⊂ IP (via #SAT); extension to TQBF; IP = PSPACE Instructor: Prahladh Harsha. Agenda: GapP, PP and the Beigel-Reingold-Spielman theorem Instructor: Ramprasad Saptharishi.
Agenda: Zero-knowledge;
That wraps up our extensive overview of Css 203 1 Computational Complexity Lecture 20.