Introduction to Advanced Algorithms Fall 2019 Lecture 24

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Advanced Algorithms Fall 2019 Lecture 24 Comprehensive Overview

More efficient exponential-time Learning from experts, multiplicative weights. Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ...

Scaling for max flow, blocking flow.

Summary & Highlights for Advanced Algorithms Fall 2019 Lecture 24

  • Splay trees.
  • extreme programming, unit tests, test as you go, unit tests in C, one objective at a time, refactoring. asserts. multi-file programs in ...
  • Approximation
  • Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters.
  • second order methods (Newton's method), path-following interior point wrap-up.

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