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Module 3: Randomization

This module covers methods for analyzing expected running time and average-case performance, randomized quicksort and quickselect, examples of randomized algorithms and data structures, and "high probability" bounds. [Workload: 1 Week]

Taught By

  • Brian Dean

    Brian Dean

    Professor and C. Tycho Howle Director

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