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

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

  1. 188 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

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

About this book

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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Yes, you can access Theory, Application, and Implementation of Monte Carlo Method in Science and Technology by Pooneh Saidi Bidokhti in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

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