1 / 9

Simulation

Simulation. The Monte Carlo Method. Preliminaries. Element An item having characteristics or attributes that have logical or numerical values. System A set of related elements that may interact Two types: Internal External. Preliminaries. How do we study Systems? Models

amos-baker
Télécharger la présentation

Simulation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Simulation The Monte Carlo Method

  2. Preliminaries • Element • An item having characteristics or attributes that have logical or numerical values. • System • A set of related elements that may interact • Two types: • Internal • External

  3. Preliminaries • How do we study Systems? • Models • A model is an abstraction of a real system that can be used for prediction and control. • The purpose of a model is to enable one to determine how one or more changes in variables effect the system.

  4. Simulation • What is simulation? • A numerical technique for studying models of systems, typically on a digital computer. • What types of models can we simulate? • Abstract models • Physical models • Ex: Theme Park line – Abstract Solar System - Physical

  5. Simulation • Where does simulation exist? Army Navy Air Force Wackadoos Rockys Disney Quest At home!

  6. Example Nuclear Power Plant Simulation

  7. Monte Carlo Method • What is it? • A stochastic technique – uses random numbers and statistical techniques • Method of using independent random variables (pseudo random numbers) to study the outcomes of a system. • Where did it originate? • Term “Monte Carlo” was introduced by von Neumann and Ulam during World War II as a code word for the secret work at Los Alamos. • The method was named after a city in the Monoco principality, because a roulette, a simple random number generator.

  8. Monte Carlo Method • How does it work? • With respects to problem solving • Lets attempt to calculate PI by a “hit and miss” integration. • Can it be used to solve other problems? • Buffon’s Needle Problem: • Simply stated: Given a needle and two lines, determine the probability of the needle crossing one of the lines on the page. • Monty Halls 3-Door Problem

  9. Monte Carlo Method • Can it be used to solve other problems? • Traveling Salesman problem • Numerical Integration - Estimating the value of a definite integral or sum • Knapsack Problem – Estimating the most valuable subset of items that will fit into a knapsack.

More Related