Главная
Study mode:
on
1
Introduction
2
PCP Theorem
3
Global Properties
4
Can PCP be formulated in P language
5
Global vs Local Tests
6
Computational Problem
7
Simple Construction
8
Construction
9
Linear Functions
10
Variables
11
Equations
12
Conclusion
13
Proof
Description:
Dive into a comprehensive lecture on Probabilistically Checkable Proofs (PCP) delivered by Dana Moshkovitz from the University of Texas at Austin. Explore the PCP Theorem, global properties, and the formulation of PCP in P language. Examine the differences between global and local tests, and delve into computational problems. Learn about simple and complex constructions, linear functions, variables, and equations related to PCP. This 78-minute talk, part of the Probability, Geometry, and Computation in High Dimensions Boot Camp at the Simons Institute, provides a thorough crash course on this important topic in computational complexity theory.

Crash Course on Probabilistically Checkable Proofs - PCP

Simons Institute
Add to list
0:00 / 0:00