Introduction to Css 203 1 Computational Complexity Lecture 17
Let's dive into the details surrounding Css 203 1 Computational Complexity Lecture 17. Agenda: Promise problems; Unique-SAT; the Valiant-Vazirani Lemma; introduction to #P Instructor: Ramprasad Saptharishi.
Css 203 1 Computational Complexity Lecture 17 Comprehensive Overview
Agenda: #P; decision vs counting; #P-completeness of #SAT; #P-completeness of Permanent. Instructor: Ramprasad Saptharishi. Agenda: Randomised space; Barrington's theorem Instructor: Ramprasad Saptharishi. Agenda: Arthur-Merlin protocols, MA, AM, properties of AM protocols, GI - NP-complete? public coins = private coins. Instructor: ...
Agenda: Diagonalisation:
Summary & Highlights for Css 203 1 Computational Complexity Lecture 17
- Agenda: Space
- More discussion of P, NP, P/poly. The proof that P \subset P/poly and the Karp-Lipton theorem.
- Agenda: What is a proof?; Graph non-isomorphism; Interactive Proofs (formal definition); what we can prove; an interactive proof ...
- Agenda: Toda's theorem: intro. to ⊕SAT, randomised reduction from PH to ⊕SAT, derandomisation via a #P query Instructor: ...
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That wraps up our extensive overview of Css 203 1 Computational Complexity Lecture 17.
