Introduction to Css 413 1 Pseudorandomness Lecture 22
Exploring Css 413 1 Pseudorandomness Lecture 22 reveals several interesting facts. Instructor: Ramprasad Saptharishi Agenda: [Extractors from blackbox PRGs] List-decoding view of
Css 413 1 Pseudorandomness Lecture 22 Comprehensive Overview
Instructor: Ramprasad Saptharishi Agenda: [Hardness vs randomness - IV] Finishing the proof of the Impagliazzo-Wigderson ... Instructor: Prahladh Harsha Introduction, Administrivia, The Power of Randomness, Is Randomness Essential? Can Randomness ... Instructor: Ramprasad Saptharishi Agenda: [Introduction to expansion] Vertex expansion, spectral expansion, connection between ...
Instructor: Ramprasad Saptharishi Agenda: [Basic derandomisation methods] Enumeration, method of conditional expectation, ...
Summary & Highlights for Css 413 1 Pseudorandomness Lecture 22
- Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of
- 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: 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 ...
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