Understanding Css 413 1 Pseudorandomness Lecture 3
If you are looking for information about Css 413 1 Pseudorandomness Lecture 3, you have come to the right place. Instructor: Prahladh Harsha Agenda: Randomness elimination/reduction via enumeration, method of conditional expectations and ...
Key Takeaways about Css 413 1 Pseudorandomness Lecture 3
- Instructor: Ramprasad Saptharishi Agenda: [Introduction to PRGs] Computational indistinguishability, definition of PRGs, ...
- Instructor: Prahladh Harsha Agenda: [The Saks-Zhou theorem] BPL is in DSPACE((log n)^{1.5})
- Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards graph expansion.
- Instructor: Ramprasad Saptharishi Agenda: [Expanders = complete graph + error] Revisiting error reduction in randomised ...
- Instructor: Ramprasad Saptharishi Agenda: [Reingold's theorem] Undirected s-t connectivity can be solved in deterministic ...
Detailed Analysis of Css 413 1 Pseudorandomness Lecture 3
Instructor: Ramprasad Saptharishi Agenda: [Limited independence] Constructing k-wise independent families of hash functions, ... 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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