Exploring Css 413 1 Pseudorandomness Lecture 16
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- Instructor: Ramprasad Saptharishi Agenda: [
- Instructor: Prahladh Harsha Agenda: Randomness elimination/reduction via enumeration, method of conditional expectations and ...
- Instructor: Ramprasad Saptharishi Agenda: [Introduction to expansion] Vertex expansion, spectral expansion, connection between ...
- Instructor: Prahladh Harsha Agenda: Randomized Complexity classes, Error Reduction, Basic Probability Inequalities, Sampling.
- Instructor: Prahladh Harsha Agenda: vertex expansion, random graphs are vertex expanders, KPS error-reduction for RP.
In-Depth Information on Css 413 1 Pseudorandomness Lecture 16
Instructor: Prahladh Harsha Agenda: [The Saks-Zhou theorem] BPL is in DSPACE((log n)^{1.5}) Instructor: Prahladh Harsha Introduction, Administrivia, The Power of Randomness, Is Randomness Essential? Can Randomness ... Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards graph expansion. Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of
Instructor: Ramprasad Saptharishi Agenda: [Extractors from blackbox PRGs] List-decoding view of
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