Introduction to Css 413 1 Pseudorandomness Lecture 14
If you are looking for information about Css 413 1 Pseudorandomness Lecture 14, you have come to the right place. Instructor: Ramprasad Saptharishi Agenda: [
Css 413 1 Pseudorandomness Lecture 14 Comprehensive Overview
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 Introduction, Administrivia, The Power of Randomness, Is Randomness Essential? Can Randomness ...
Instructor: Prahladh Harsha Agenda: [The Saks-Zhou theorem] BPL is in DSPACE((log n)^{1.5})
Summary & Highlights for Css 413 1 Pseudorandomness Lecture 14
- Instructor: Prahladh Harsha Agenda: Randomized Complexity classes, Error Reduction, Basic Probability Inequalities, Sampling.
- Instructor: Ramprasad Saptharishi Agenda: [Extractors] Weak random sources, closeness of distributions, deterministic extractors, ...
- Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of
- Instructor: Ramprasad Saptharishi Agenda: [Nisan's PRG for small space] Introduction to randomized small-space classes, ...
- Instructor: Prahladh Harsha Finite fields, polynomial identity testing, Schwartz-Zippel Lemma, perfect matching in bipartite graphs.
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