Introduction to Css 413 1 Pseudorandomness Lecture 11
Let's dive into the details surrounding Css 413 1 Pseudorandomness Lecture 11. Instructor: Ramprasad Saptharishi Agenda: [Constructing expanders from scratch] Graph operations (squaring, tensoring), the ...
Css 413 1 Pseudorandomness Lecture 11 Comprehensive Overview
Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of Instructor: Prahladh Harsha Introduction, Administrivia, The Power of Randomness, Is Randomness Essential? Can Randomness ... Instructor: Prahladh Harsha Agenda: Randomness elimination/reduction via enumeration, method of conditional expectations and ...
Instructor: Prahladh Harsha Agenda: vertex expansion, random graphs are vertex expanders, KPS error-reduction for RP.
Summary & Highlights for Css 413 1 Pseudorandomness Lecture 11
- Instructor: Ramprasad Saptharishi Agenda: [Basic derandomisation methods] Enumeration, method of conditional expectation, ...
- Instructor: Prahladh Harsha Agenda: [Spectral expanders for sampling] Hitting set property for expander random walks, matrix ...
- Instructor: Ramprasad Saptharishi Agenda: [
- Instructor: Ramprasad Saptharishi Agenda: [List decodable codes] Introduction to codes and list-decoding, achievable bounds for ...
- Instructor: Ramprasad Saptharishi Agenda: [Reingold's theorem] Undirected s-t connectivity can be solved in deterministic ...
That wraps up our extensive overview of Css 413 1 Pseudorandomness Lecture 11.