Theoretical basics and practical applications of Mote Carlo methods in classical and quantum statistical thermodynamics, quantum dynamics of molecules, and quantum chemistry.
Classical methods:
- elements of classical statistical thermodynamics
- intermolecular interactions
- Markovian chains
- Metropolis algorithm for various thermodynamical ensembles
- advanced techniques for convergence acceleration,
- pseudo-random numbres.
Quantum methods:
- elements of quantum theory and quantum statistical thermodynamics
- quantum-classical isomorphism
- path-integral Monte Carlo methods
- variational principle and variational Monte Carlo methods
- stationary Schrödinger equation and diffusion Monte Carlo methods
Classical methods:
- elements of classical statistical thermodynamics
- intermolecular interactions
- Markovian chains
- Metropolis algorithm for various thermodynamical ensembles
- advanced techniques for convergence acceleration,
- pseudo-random numbres.
Quantum methods:
- elements of quantum theory and quantum statistical thermodynamics
- quantum-classical isomorphism
- path-integral Monte Carlo methods
- variational principle and variational Monte Carlo methods
- stationary Schrödinger equation and diffusion Monte Carlo methods