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Probability Theory Overview and Analysis of Randomized Algorithms

Probability Theory Overview and Analysis of Randomized Algorithms. Analysis of Algorithms. Prepared by John Reif, Ph.D. Probability Theory Topics . Random Variables: Binomial and Geometric Useful Probabilistic Bounds and Inequalities. Readings. Main Reading Selections:

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726 views • 50 slides

Probability Theory Overview and Analysis of Randomized Algorithms

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638 views • 50 slides

Fair Elections

Fair Elections. Are they possible?. Acknowledgment. Many of the examples are taken from Excursions in Modern Mathematics by Peter Tannenbaum and Robert Arnold. Presidential Election. Not decided by majority vote Decided by electoral college

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551 views • 33 slides

Warm up

Warm up. Solve for x: 1. 5 3 ? 2 x =5 ? x 2. 3 2 a =3 ? a 3. 3 1 ? 2 x = 243. Lesson 10-2 Logarithmic Functions. Objective: To learn to use both natural & common logarithmic functions. Logarithmic Functions. Logarithms were originally developed to simplify complex

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321 views • 15 slides

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Suppose b - PowerPoint PPT Presentation

Probability Theory Overview and Analysis of Randomized Algorithms

Probability Theory Overview and Analysis of Randomized Algorithms

Fair Elections

Warm up