Open access peer-reviewed Edited Volume

Theory, Application, and Implementation of Monte Carlo Method in Science and Technology

Edited by Pooneh Saidi Bidokhti

Parsikan Iran Engineering & Management Consultants

The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. However, this technique is complicated by the amount of computer time required to achieve sufficient precision in the simulations and evaluate their accuracy. This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy.

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Theory, Application, and Implementation of Monte Carlo Method in Science and TechnologyEdited by Pooneh Saidi Bidokhti

Published: December 18th 2019

DOI: 10.5772/intechopen.78141

ISBN: 978-1-78985-546-3

Print ISBN: 978-1-78985-545-6

eBook (PDF) ISBN: 978-1-83968-152-3

Copyright year: 2019

Books open for chapter submissions

2195 Total Chapter Downloads

1 Crossref Citations

2 Dimensions Citations


Open access peer-reviewed

1. Monte Carlo Methods for Simulation of Optical Coherence Tomography of Turbid Media

By Ivan T. Lima Jr and Sherif S. Sherif


Open access peer-reviewed

2. Modelling, Simulation and Dosimetry of 103-Pd Eye Plaque Brachytherapy

By Pooneh Saidi and Mahdi Sadeghi


Open access peer-reviewed

3. Prospective Monte Carlo Simulation for Choosing High Efficient Detectors for Small-Field Dosimetry

By Hossam Donya, Baljeet Seniwal, Reem Darwesh and Telma C.F. Fonseca


Open access peer-reviewed

4. Monte Carlo’s Core and Tests for Application Developers: Geant4 and XRMC Comparison and Validation

By Gabriela Hoff, Bruno Golosio, Elaine E. Streck and Viviana Fanti


Open access peer-reviewed

5. How to Use the Monte Carlo Simulation Technique? Application: A Study of the Gas Phase during Thin Film Deposition

By Fethi Khelfaoui and Oumelkheir Babahani


Open access peer-reviewed

6. Application of Local Information Entropy in Cluster Monte Carlo Algorithms

By Artur Chrobak, Grzegorz Ziółkowski and Dariusz Chrobak


Open access peer-reviewed

7. Utilization of Digital Twins and Other Numerical Relatives for Efficient Monte Carlo Simulation in Structural Analysis

By Bernt Johan Leira, Arifian Agusta and Sebastian Thöns


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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