Syllabus del corso
Titolo
**Monte Carlo Approach to Geophysical Inverse Problem: An Introduction
**
Docente(i)
Nicola Piana Agostinetti
Lingua
English
Breve descrizione
The module presents Monte Carlo (MC) algorithms as tools for the solution of a number of geophysical inverse problems. The module covers an introduction on inverse problem theory and basic concepts about Monte Carlo approach. Three MC algorithms will be presented to solve: (a) a fixed dimension inverse problem; (b) a trans-dimensional inverse problem and (c) an inverse problem using a "Hierarchical Bayes" approach. Algorithms presentation will put emphasis on the fundamental phases of the analysis of the inverse problem and the development of the MC algorithm. Students will be actively involved in the course, encouraged to present their own inverse problems with the aim of stimulating discussion about possible MC algorithms for their solution. A laptop running a FORTRAN compiler and GMT (https://www.generic-mapping-tools.org/) is requested.
Evaluation: NO
CFU / Ore
2 CFU - 20 Hours (8h lecture - 12h laboratory training)
Periodo di erogazione
I semester: March 2024
Title
**Monte Carlo Approach to Geophysical Inverse Problem: An Introduction
**
Teacher(s)
Nicola Piana Agostinetti
Language
English
Short description
The module presents Monte Carlo (MC) algorithms as tools for the solution of a number of geophysical inverse problems. The module covers an introduction on inverse problem theory and basic concepts about Monte Carlo approach. Three MC algorithms will be presented to solve: (a) a fixed dimension inverse problem; (b) a trans-dimensional inverse problem and (c) an inverse problem using a "Hierarchical Bayes" approach. Algorithms presentation will put emphasis on the fundamental phases of the analysis of the inverse problem and the development of the MC algorithm. Students will be actively involved in the course, encouraged to present their own inverse problems with the aim of stimulating discussion about possible MC algorithms for their solution. A laptop running a FORTRAN compiler and GMT (https://www.generic-mapping-tools.org/) is requested.
Evaluation: NO
CFU / Hours
2 CFU - 20 Hours (8h lecture - 12h laboratory training)
Teaching period
I semester: March 2024