Theory, application, and implementation of Monte Carlo method in science and technology
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. Howev...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London :
IntechOpen
2019.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746195206719 |
Tabla de Contenidos:
- 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.
