11 Pseudorandom Graphs I Quasirandomness

Media Summary: Instructor: Ramprasad Saptharishi Agenda: [Constructing expanders from scratch] Jozsef Solymosi's fifth talk (of ten) at the NSF-CBMS Conference on Additive Combinatorics from a Geometric Viewpoint hosted by ... Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards

11 Pseudorandom Graphs I Quasirandomness - Detailed Analysis & Overview

Instructor: Ramprasad Saptharishi Agenda: [Constructing expanders from scratch] Jozsef Solymosi's fifth talk (of ten) at the NSF-CBMS Conference on Additive Combinatorics from a Geometric Viewpoint hosted by ... Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of pseudorandomness and ... This is a talk of Subhash Khot given given at the Harvard CDM Conference of November 23, 2019. In this second video of Week 6, we introduce well-quasi-ordering and how it relates to

Hong Liu from the University of Warwick gives an online lecture series in KAIST. There are eight lectures. This is the lecture 1 on ...

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11. Pseudorandom graphs I: quasirandomness

12. Pseudorandom graphs II: second eigenvalue

Pseudorandomness and Regularity in Graphs I

[CSS.413.1] Pseudorandomness - Lecture 11

Graph Theory and Additive Combinatorics - MIT - Lec 11

Quasirandomness

[CSS.413.1] Pseudorandomness - Lecture 6

Andras Sarközy: Quasi-random graphs and pseudo-random binary sequences

[CSS.413.1] Pseudorandomness - Lecture 1 (Introduction to the course)

Subhash Khot: Characterization of Non-expanding Sets in the Grassmann Graph

Graph Theory 6-2: Well Quasi Ordering

AGT: Pseudorandom Cliquefree Graphs, Finite Geometry, and Spectra

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11. Pseudorandom graphs I: quasirandomness

11. Pseudorandom graphs I: quasirandomness

MIT 18.217

12. Pseudorandom graphs II: second eigenvalue

12. Pseudorandom graphs II: second eigenvalue

MIT 18.217

Pseudorandomness and Regularity in Graphs I

Pseudorandomness and Regularity in Graphs I

David Conlon, University of Oxford https://simons.berkeley.edu/talks/pseudorandomness-and-regularity-in-

[CSS.413.1] Pseudorandomness - Lecture 11

[CSS.413.1] Pseudorandomness - Lecture 11

Instructor: Ramprasad Saptharishi Agenda: [Constructing expanders from scratch]

Graph Theory and Additive Combinatorics - MIT - Lec 11

Graph Theory and Additive Combinatorics - MIT - Lec 11

Lecture

Quasirandomness

Quasirandomness

Jozsef Solymosi's fifth talk (of ten) at the NSF-CBMS Conference on Additive Combinatorics from a Geometric Viewpoint hosted by ...

[CSS.413.1] Pseudorandomness - Lecture 6

[CSS.413.1] Pseudorandomness - Lecture 6

Instructor: Prahladh Harsha Agenda: promise problems, samplers as hypergraphs, towards

Andras Sarközy: Quasi-random graphs and pseudo-random binary sequences

Andras Sarközy: Quasi-random graphs and pseudo-random binary sequences

Abstract: The notion of quasi-random

[CSS.413.1] Pseudorandomness - Lecture 1 (Introduction to the course)

[CSS.413.1] Pseudorandomness - Lecture 1 (Introduction to the course)

Instructor: Ramprasad Saptharishi Agenda: Introduction to the course, administrivia, general notion of pseudorandomness and ...

Subhash Khot: Characterization of Non-expanding Sets in the Grassmann Graph

Subhash Khot: Characterization of Non-expanding Sets in the Grassmann Graph

This is a talk of Subhash Khot given given at the Harvard CDM Conference of November 23, 2019.

Graph Theory 6-2: Well Quasi Ordering

Graph Theory 6-2: Well Quasi Ordering

In this second video of Week 6, we introduce well-quasi-ordering and how it relates to

AGT: Pseudorandom Cliquefree Graphs, Finite Geometry, and Spectra

AGT: Pseudorandom Cliquefree Graphs, Finite Geometry, and Spectra

Talk by Ferdinand Ihringer. A regular

Cycles and trees in (pseudo)random graphs 1, Hong Liu

Cycles and trees in (pseudo)random graphs 1, Hong Liu

Hong Liu from the University of Warwick gives an online lecture series in KAIST. There are eight lectures. This is the lecture 1 on ...