Exploring Css 413 1 Pseudorandomness Lecture 6
Let's dive into the details surrounding Css 413 1 Pseudorandomness Lecture 6.
- Instructor: Ramprasad Saptharishi Agenda: (Linear algebra of random walks) Spectral expansion implies vertex expansion, linear ...
- Instructor: Prahladh Harsha Introduction, Administrivia, The Power of Randomness, Is Randomness Essential? Can Randomness ...
- Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of
- Instructor: Prahladh Harsha Agenda: Samplers,
- Instructor: Ramprasad Saptharishi Agenda: [Introduction to expansion] Vertex expansion, spectral expansion, connection between ...
In-Depth Information on Css 413 1 Pseudorandomness Lecture 6
Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards graph expansion. Instructor: Ramprasad Saptharishi Agenda: [Mixing time of random walks] Analysing mixing time of random walks, revisiting the ... Instructor: Ramprasad Saptharishi Agenda: [Expanders = complete graph + error] Revisiting error reduction in randomised ... Instructor: Prahladh Harsha Agenda: vertex expansion, random graphs are vertex expanders, KPS error-reduction for RP.
Instructor: Ramprasad Saptharishi Agenda: [Limited independence] Constructing k-wise independent families of hash functions, ...
That wraps up our extensive overview of Css 413 1 Pseudorandomness Lecture 6.
