"Theory, Application, and Implementation of Monte Carlo Method in Science and Technology" ed. by Pooneh Saidi Bidokhti

This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy.

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.

Contents
1.Monte Carlo Methods for Simulation of Optical Coherence Tomography of Turbid Media
2.Modelling, Simulation and Dosimetry of 103-Pd Eye Plaque Brachytherapy
3.Prospective Monte Carlo Simulation for Choosing High Efficient Detectors for Small-Field Dosimetry
4.Monte Carlo’s Core and Tests for Application Developers: Geant4 and XRMC Comparison and Validation
5.How to Use the Monte Carlo Simulation Technique? Application: A Study of the Gas Phase during Thin Film Deposition
6.Application of Local Information Entropy in Cluster Monte Carlo Algorithms
7.Utilization of Digital Twins and Other Numerical Relatives for Efficient Monte Carlo Simulation in Structural Analysis