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This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains.

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1

English

English [CC]

FREE

Description

Topics covered include: randomized computation; data structures (hash tables, skip lists); graph algorithms (minimum spanning trees, shortest paths, minimum cuts); geometric algorithms (convex hulls, linear programming in fixed or arbitrary dimension); approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms.

Course content

  • Introduction to Randomized Algorithms Unlimited
  • Min-Cut, Complexity Theory, Game Tree Evaluation Unlimited
  • Adelman’s Theorem, Game Theory, Lower Bounds Unlimited
  • Coupon Collecting, Stable Marriage, Markov Inequality Unlimited
  • Chebyshev, Two Point Sampling, Chernoff Unlimited
  • Median Finding, Routing Unlimited
  • Probabilistic Method, Expanders, Wiring, MAX SAT Unlimited
  • Method of Conditional Probabilities and Expectations, Fingerprinting Unlimited
  • Hashing, Perfect Hash Families, Freivald’s Technique Unlimited
  • Fingerprints by Polynomials, Perfect Matching, Hashing Unlimited
  • Shortest Paths Unlimited
  • Parallel Algorithms Unlimited
  • Maximal Independent Sets Unlimited
  • Minimum Spanning Trees Unlimited
  • Polling, Minimum Cut, Transitive Closure Unlimited
  • Estimating Min-Cut Size Unlimited
  • Linear Programming Unlimited
  • DNF Counting Unlimited
  • Markov Chains Unlimited
  • UTS, Eigenvalue Analysis, Expanders Unlimited
  • Expander based Pseudo-Random Generator Unlimited
  • Sampling with Markov Chains, Coupling Unlimited
  • Computational Geometry Unlimited
  • Randomized Incremental Construction Unlimited
  • Trapezoidal Decomposition, Treaps Unlimited

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Instructor

Massachusetts Institute of Technology
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