Lecture Monte carlo simulations

Solving particle transport problems with the Monte Carlo method is simple - just simulate the particle behavior. The devil is in the details, however. This course provides a balanced approach to the theory and practice of Monte Carlo simulation codes, with lectures on transport, random number generation, random sampling, computational geometry, collision physics, tallies, statistics, eigenvalue calculations, variance reduction, and parallel algorithms.

403p tranthanhkhang93 19-04-2017 41 5   Download

Lecture Monte carlo simulations: Application to lattice models, part I - Basics. The main contents of this chapter include all of the following: Introduction, thermodynamics and statistical mechanics, phase transition, probability theory.

32p whocare_d 22-09-2016 61 6   Download

Lecture Monte carlo simulations: Application to lattice models, part II - Monte carlo simulation methods. The main contents of this chapter include all of the following: The spin models, boundary conditions, simple sampling monte carlo methods, importance sampling monte carlo methods.

76p whocare_d 22-09-2016 58 5   Download

Lecture Monte carlo simulations: Application to lattice models, part III - Finite size effects and reweighting methods. The main contents of this chapter include all of the following: Finite size effects, single histogram method, multiple histogram method, wang-Landau method, the applications.

86p whocare_d 22-09-2016 46 5   Download

Web search engine: Markov chain theory Data Mining, Machine Learning: Data mining, Machine learning: Stochastic gradient, Markov chain Monte Carlo, Image processing: Markov random fields, Design of wireless communication systems: random matrix theory, Optimization of engineering processes: simulated annealing, genetic algorithms, Finance (option pricing, volatility models): Monte Carlo, dynamic models, Design of atomic bomb (Los Alamos): Markov chain Monte Carlo.

16p quangchien2205 30-03-2011 83 6   Download