Exploring Advanced Algorithms Lecture 19

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  • Some reasonable assumptions so continuous optimization turns out to have efficient
  • Instructor: Aditya Bhaskara Randomized
  • So maybe I can just do a dynamic programming and this is the simplest thing that I can do so just imagine the
  • MIT 6.006
  • Multiplicative weight updates.

In-Depth Information on Advanced Algorithms Lecture 19

Contents: - shortest superstring problem - approximation via set cover - recap of (integer) LPs, standard form, facts on solvability ... Learning from experts, multiplicative weights. Beating brute-force search for NP-hard problems. Fixed-parameter tractability: vertex cover revisited. Exact TSP via dynamic ... Big Data Courses at the University of Utah Spring 2017 classes (Mountain Time | Tuesdays and Thursdays): MW 11:50 - 13:10 ...

Lecture 19

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