PPT-Computers and Random Numbers

Andrew Ross Math Dept Eastern Michigan Univ 20090414 Why use random numbers Simulating random events arrivals to a queueing system Poker backgammon etc Doing deterministic computations like integrals . RANDOM NUMBERS RANDOM NUMBERS + Click Events + Interest Data / Affinities RANDOM NUMBERS MATTHEW KAHLE & ELIZABETH MECKE. Presented by Ariel Szapiro. INTRODUCTION : . betti. numbers. Informally, the . k. th. Betti number refers to the number of unconnected . k. -dimensional surfaces. The first few Betti numbers have the following intuitive definitions:. THE GENERATION OF PSEUDO-RANDOM NUMBERS . Agenda. generating random number . uniformly. . distributed. Why they are important in simulation. . Why important in General. Numerical . analysis. ,. . random numbers are used in the solution of complicated integrals. . Graham Netherton. Logan Stelly. What is RNG?. RNG = Random Number Generation. Random Number Generators simulate random outputs, such as dice rolls or coin tosses. Traits of random numbers. Random numbers should have a uniform distribution across a range of values. Andy Wang. CIS 5930-03. Computer Systems. Performance Analysis. Generate Random Values. Two steps. Random-number generation. Get a sequence of random numbers distributed uniformly between 0 and 1. Random-. A simulation imitates a real situation. Is supposed to give similar results. And so acts as a predictor of what should actually happen. It is a model in which repeated experiments are carried out for the purpose of estimating in real life. Follow-Up:. Further into Python. Part 3: . Random. Numbers. Part 3: . “Random”. Numbers. Part 3: . Pseudo. -Random. Numbers. Why Random Numbers?. Traditional use: cryptography. http://www.diablotin.com/librairie/networking/puis/figs/puis_0604.gif. Remember. Computers. Execute algorithms. Need to be told what to do. And to whom to do it. Question. How does the computer know what to act on?. Answer. We tell it. . WHERE. NOT WHAT. Rory Nimmons. Venkat Reddy. U. n. d. e. r. s. t. a. n. d. i. n. g. . R. a. n. d. o. m. n. e. s. s. . Main Concepts. Simulations are used for:. Can help to investigate a query for which there are many potential results, whilst not intending to collect data, and the math is like super difficult to do. . MATTHEW KAHLE & ELIZABETH MECKE. Presented by Ariel Szapiro. INTRODUCTION : . betti. numbers. Informally, the . k. th. Betti number refers to the number of unconnected . k. -dimensional surfaces. The first few Betti numbers have the following intuitive definitions:. MATTHEW KAHLE & ELIZABETH MECKE. Presented by Ariel Szapiro. INTRODUCTION : . betti. numbers. Informally, the . k. th. Betti number refers to the number of unconnected . k. -dimensional surfaces. The first few Betti numbers have the following intuitive definitions:. Chapter 1. Chapter 1: Computers and Digital Basics. 2. Chapter Contents. Section A: All Things Digital. Section B: Digital Devices. Section C: Digital Data Representation. Section D: Digital Processing. 6. The Excite Poll is an online poll at poll.excite.com. You click on an answer to become part of the sample. One poll question was “Do you prefer watching first-run movies at a movie theater, or waiting until they are available on home video or pay-per-view?” A total of 8896 people responded with 1118 saying they preferred theaters. From this survey you can conclude that . Random Numbers. How that process to generate random numbers takes places requires some complicated statistics that are outside the scope of this course. But there are a couple of things to keep in mind:.