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  • Finish LP decoding of LDPC codes (see Lecture 11 notes).
  • Self-improving algorithms. Full
  • Instance optimality in computational geometry. Full
  • LP decoding of LDPC codes. Full
  • A taste of compressive sensing. Finding sparse solutions to underdetermined linear systems. When does l1-minimization work?

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Introduction Members' Colloquium 1:30pm|Simonyi 101 and Remote Access Topic: March 25, 2021 talk in the IGAFIT (Interest Group on Algorithmic Foundations of Information Technology) Algorithmic Colloquium. Three motivating examples. Pros and cons of

For binary optimization problems, polynomial smoothed complexity implies and is implied by (Las Vegas randomized) ...

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