Exploring Advanced Algorithms Fall 2019 Lecture 12
If you are looking for information about Advanced Algorithms Fall 2019 Lecture 12, you have come to the right place.
- Outline of
- Approximation
- Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ...
- Alon's JL lower bound, beyond worst case analysis: suprema of gaussian processes, Gordon's theorem.
- Learning from experts, multiplicative weights.
In-Depth Information on Advanced Algorithms Fall 2019 Lecture 12
Topics discussed: - More on shortest paths (Dijkstra's Splay trees. FPTAS (knapsack), FPRAS (DNF counting), semidefinite programming, Goemans-Williamson MAXCUT Topics Discussed - Maximum flow and minimum cut - Ford-Fulkerson (Overview and proof)
Instructor: Aditya Bhaskara.
We hope this detailed breakdown of Advanced Algorithms Fall 2019 Lecture 12 was helpful.