Lucilla DE ARCANGELIS
Insegnamento di MODELING OF COMPLEX SYSTEMS
Corso di laurea magistrale in PHYSICS
SSD: FIS/03
CFU: 6,00
ORE PER UNITÀ DIDATTICA: 48,00
Periodo di Erogazione: Primo Semestre
Italiano
Lingua di insegnamento | INGLESE |
Contenuti | Random numbers. Random geometrical models. Non equilibrium systems. Branching processes. Monte Carlo methods. Cluster algorithms. Basics of molecular dynamics. |
Testi di riferimento | R. Livi and P. Politi, |
Obiettivi formativi | The course aims to provide basic theoretical and numerical methods to develop models for complex systems. |
Prerequisiti | Statistical ensembles, basic probability theory, |
Metodologie didattiche | The course is structured in 40 hours of frontal lectures and |
Metodi di valutazione | Oral exam |
Programma del corso | Random Numbers. Definition of Random Numbers. Congruential RNG (multiplicative). Lagged Fibonacci RNG (additive). Available Libraries. How Good is a RNG? Non-Uniform Distributions |
English
Teaching language | English |
Contents | Random numbers. Random geometrical models. Non equilibrium systems. Branching processes. Monte Carlo methods. Cluster algorithms. Basics of molecular dynamics. |
Textbook and course materials | R. Livi and P. Politi, |
Course objectives | The course aims to provide basic theoretical and numerical methods to develop models for complex systems. |
Prerequisites | Statistical ensembles, basic probability theory, |
Teaching methods | The course is structured in 40 hours of frontal lectures and |
Evaluation methods | Oral exam |
Course Syllabus | Random Numbers. Definition of Random Numbers. Congruential RNG (multiplicative). Lagged Fibonacci RNG (additive). Available Libraries. How Good is a RNG? Non-Uniform Distributions |