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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
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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 • 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.
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
Simulation • Where does simulation exist? Army Navy Air Force Wackadoos Rockys Disney Quest At home!
Example Nuclear Power Plant Simulation
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.
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
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.