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GNU MCSim is a simulation and statistical inference tool for algebraic or differential equation systems, optimized for performing Monte Carlo analysis. The software comprises a model generator and a simulation engine: The model generator facilitates structural model definition and maintenance, while keeping execution time short.
This is a list of computer programs that use Monte Carlo methods for molecular modeling. Abalone classical Hybrid MC; BOSS classical; CASINO quantum [1] Cassandra classical [2] CP2K; FEASST classical [3] GOMC classical [4] Internal_Coordinate_Mechanics ICM by MolSoft classical [5] MacroModel classical; Materials Studio classical; ms2 [6] [7] [8 ...
Elmer - an open-source multiphysical simulation software for Windows/Mac/Linux. FlightGear-a free, open-source atmospheric and orbital flight simulator with a flight dynamics engine (JSBSim) that is used in a 2015 NASA benchmark [1] to judge new simulation code to space industry standards. FreeFem++ - Free, open-source, multiphysics Finite ...
Monte Carlo method: Pouring out a box of coins on a table, and then computing the ratio of coins that land heads versus tails is a Monte Carlo method of determining the behavior of repeated coin tosses, but it is not a simulation. Monte Carlo simulation: Drawing a large number of pseudo-random uniform variables from the interval [0,1] at one ...
Just another Gibbs sampler (JAGS) is a program for simulation from Bayesian hierarchical models using Markov chain Monte Carlo (MCMC), developed by Martyn Plummer. JAGS has been employed for statistical work in many fields, for example ecology, management, and genetics.
The direct simulation Monte Carlo algorithm is like molecular dynamics in that the state of the system is given by the positions and velocities of the particles, {,}, for =, …,. Unlike molecular dynamics, each particle in a DSMC simulation represents F N {\displaystyle F_{N}} molecules in the physical system that have roughly the same ...
The kinetic Monte Carlo (KMC) method is a Monte Carlo method computer simulation intended to simulate the time evolution of some processes occurring in nature. Typically these are processes that occur with known transition rates among states.
When calculating the delta using a Monte Carlo method, the most straightforward way is the black-box technique consisting in doing a Monte Carlo on the original market data and another one on the changed market data, and calculate the risk by doing the difference. Instead, the importance sampling method consists in doing a Monte Carlo in an ...