Exploring Css 413 1 Pseudorandomness Lecture 9
Exploring Css 413 1 Pseudorandomness Lecture 9 reveals several interesting facts.
- Instructor: Prahladh Harsha Agenda: vertex expansion, random graphs are vertex expanders, KPS error-reduction for RP.
- Instructor: Prahladh Harsha Agenda: Randomness elimination/reduction via enumeration, method of conditional expectations and ...
- Instructor: Prahladh Harsha Agenda: [Spectral expanders for sampling] Hitting set property for expander random walks, matrix ...
- Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards graph expansion.
- Instructor: Ramprasad Saptharishi Agenda: [Introduction to expansion] Vertex expansion, spectral expansion, connection between ...
In-Depth Information on Css 413 1 Pseudorandomness Lecture 9
Instructor: Prahladh Harsha Agenda: [Spectral expansion] Random-walk matrix, expander mixing lemma, spectral expansion ... Instructor: Ramprasad Saptharishi Agenda: [Explicit expander constructions] Analysis of the zig-zag product, construction of ... 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: Ramprasad Saptharishi Agenda: [
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