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What is Monte Carlo Method

Chapter 22
Handbook of Research on Grid Technologies and Utility Computing: Concepts for Managing Large-Scale Applications
A statistical approach ideal for those kind of problems that are too complicated to solve using analytical methods and that guarantees accurate results when applied several times to the problem domain. A classical example is the computation of the value of p generating couples of random numbers, (x,y). The ratio of the number of couples that satisfy the rule: x²+y²<=1 and the total number of couples generated is an approximation of p/4. The more random couples that are generated, the more accurate the approximation is.
Published in Chapter:
Simulated Events Production on the Grid for the BaBar Experiment
Daniele Andreotti (Ferrara University, Italy), Armando Fella (CNAF Bologna Centre, Italy), and Eleonora Luppi (Ferrara University, Italy)
Copyright: © 2009 |Pages: 9
DOI: 10.4018/978-1-60566-184-1.ch022
Abstract
The BaBar experiment uses data since 1999 in examining the violation of charge and parity (CP) symmetry in the field of high energy physics. This event simulation experiment is a compute intensive task due to the complexity of the Monte-Carlo simulation implemented on the GEANT engine. Data needed as input for the simulation (stored in the ROOT format), are classified into two categories: conditions data for describing the detector status when data are recorded, and background triggers data for noise signal necessary to obtain a realistic simulation. In this chapter, the grid approach is applied to the BaBar production framework using the INFN-GRID network.
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Chapter 17
Digital Humanities Strategy
A kind of computational algorithm that utilizes repeated random sampling to obtain results.
Published in Chapter: Digital Humanities Strategy; From: The Strategies of Informing Technology in the 21st Century
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Chapter 5
Probability and Game
Algorithm that rely on repeated random sampling to obtain numerical results.
Published in Chapter: Probability and Game; From: Examining an Operational Approach to Teaching Probability
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