Lecture Monte carlo simulations

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 62 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 63 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.

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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 89 7   Download