'Indicator random variable' presentation slideshows

COMPSCI 102

558 views • 47 slides

COMPSCI 102

481 views • 47 slides

15-251

471 views • 47 slides

Discrete Math CS 2800

Discrete Math CS 2800. Prof. Bart Selman selman@cs.cornell.edu Module Probability --- Part c). 1) Linearity of Expectation 2) St. Petersburg (Gambling) Paradox 3) Randomized Algorithms 4) Variance. Linearity of Expectation. Linearity of Expectation. Thm.

617 views • 46 slides

T i = indicator random variable of the event that i-th throw results in a tail

310 views • 23 slides

Hiring Problem and Generating Random Permutations

Hiring Problem and Generating Random Permutations. Andreas Klappenecker Partially based on slides by Prof. Welch. 1. You need to hire a new employee. The headhunter sends you a different applicant every day for n days.

319 views • 22 slides

Hiring Problem and Generating Random Permutations

Hiring Problem and Generating Random Permutations. Andreas Klappenecker Partially based on slides by Prof. Welch. 1. You need to hire a new employee. The headhunter sends you a different applicant every day for n days.

277 views • 22 slides

Chapter 5. Probabilistic Analysis and Randomized Algorithms

Chapter 5. Probabilistic Analysis and Randomized Algorithms. Outline. Explain the differences between probabilistic analysis and randomized algorithms Present the technique of indicator random variables

886 views • 21 slides