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.

Advanced Algorithms Fall 2019 Lecture 12.pdf

Size: 6.44 MB · Format: PDF · Secure Download

Download PDF Read Online

Related Documents