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COMP 690 — Probabilistic Analysis of Algorithms

Probabilistic analysis of algorithms and data structures under random input. Expected behaviour of search trees, tries, heaps, bucket structures and multidimensional data structures. Random sampling, divide-and-conquer, grid methods. Applications in computational geometry and in game tree searching. Combinatorial search problems. Algorithms on random graphs.

  • Rating: 4.60 out of 5 from 95 student reviews
  • Difficulty: 3.80 out of 5
  • Credits: 4
  • Faculty: Graduate Studies
  • Department: Computer Science