Introduction to Worst Case And Approximation

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Worst Case And Approximation Comprehensive Overview

Uri Feige, Weizmann Institute of Science https://simons.berkeley.edu/talks/uri-feige-09-14-17 Discrete Optimization via ... Case MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

R. Ravi, Carnegie Mellon University https://simons.berkeley.edu/talks/r-ravi-09-19-2016 Optimization and Decision-Making Under ...

Summary & Highlights for Worst Case And Approximation

  • Stable clustering, part 1. The k-median problem and the BBG algorithm. Full course playlist: ...
  • Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-1 Algorithms and ...
  • Optimization Masterclass - Ep 5: Robust
  • Computer Science/Discrete Mathematics Seminar I 11:00am|Simonyi Hall 101 and Remote Access Topic: New Approach to ...
  • We prove that sqrt{x^2 + y^2} can be approximated by 0.96x + 0.4y, with a surprisingly small percentage error of 4%, where x ≥ y ...

That wraps up our extensive overview of Worst Case And Approximation.

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