Exploring Css 413 1 Pseudorandomness Lecture 16
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- Instructor: Ramprasad Saptharishi Agenda: [Introduction to PRGs] Computational indistinguishability, definition of PRGs, ...
- Instructor: Ramprasad Saptharishi Agenda: [Mixing time of random walks] Analysing mixing time of random walks, revisiting the ...
- Instructor: Prahladh Harsha Agenda: Randomness elimination/reduction via enumeration, method of conditional expectations and ...
- Instructor: Ramprasad Saptharishi Agenda: [List decodable codes] Introduction to codes and list-decoding, achievable bounds for ...
- Instructor: Ramprasad Saptharishi Agenda: [Introduction to expansion] Vertex expansion, spectral expansion, connection between ...
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: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of Instructor: Ramprasad Saptharishi Agenda: [
Instructor: Ramprasad Saptharishi Agenda: [Limited independence] Constructing k-wise independent families of hash functions, ...
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