Monte Carlo: Difference between revisions
Jump to navigation
Jump to search
Carl McBride (talk | contribs) m (Added an internal link to End-bridging Monte Carlo) |
Carl McBride (talk | contribs) m (Added aninternal link) |
||
| Line 30: | Line 30: | ||
*[[Recoil growth]] | *[[Recoil growth]] | ||
*[[Reverse Monte Carlo]] | *[[Reverse Monte Carlo]] | ||
*[[RIS Metropolis Monte Carlo]] | |||
*[[Simulated annealing]] | *[[Simulated annealing]] | ||
*[[Umbrella sampling]] | *[[Umbrella sampling]] | ||
Revision as of 16:03, 25 February 2010
Monte Carlo is a stochastic computer simulation technique frequently used in the study of soft matter.
- Basin-hopping Monte Carlo
- Cluster algorithms
- Concerted rotation algorithm
- Configurational bias Monte Carlo
- Constant-pressure Monte Carlo
- Detailed balance
- End-bridging Monte Carlo
- Fragment regrowth Monte Carlo
- Gibbs-Duhem integration
- Gibbs ensemble Monte Carlo
- Glauber transition probabilities also known as: Barkers method
- Histogram reweighting
- Importance sampling
- Inverse Monte Carlo
- Lattice simulations (Polymers)
- Markov chain
- Metropolis Monte Carlo
- Metropolis-Hastings Monte Carlo
- Grand-canonical Monte Carlo
- Monte Carlo in the microcanonical ensemble
- Monte Carlo reptation moves
- Overlapping distribution method
- Parrinello-Raman barostat
- Phase switch Monte Carlo
- Quantum Monte Carlo
- Random numbers
- Recoil growth
- Reverse Monte Carlo
- RIS Metropolis Monte Carlo
- Simulated annealing
- Umbrella sampling
- Wang-Landau method