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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.
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.
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 ...
Comprehensive life science modeling and simulation suite of applications focused on optimizing drug discovery process: small molecule simulations, QM-MM, pharmacophore modeling, QSAR, protein-ligand docking, protein homology modeling, sequence analysis, protein-protein docking, antibody modeling, etc.
Flood Modeller - hydraulic simulation software, used to model potential flooding risk for engineering purposes. GoldSim - simulation software for system dynamics and discrete event simulation, embedded in a Monte Carlo framework. HyperWorks - multi-discipline simulation software; IDA ICE - equation-based software for building performance simulation
SUPERMC 3.3.0, Super Monte Carlo simulation program for nuclear and radiation process iaea1370 TRIGLAV, Research Reactor Calculations uscd1239 VENTEASY, Criticality Search for a Desired Keffective by Adjusting Dimensions, Nuclide Concentrations, or Buckling ccc-0654 VENTURE-PC 1.1, Reactor Analysis System with Sensitivity and Burnup iaea0871
Continuous simulation with stocks and flows, some discrete delay and discrete event functionality. Flexible array syntax with mapping among dimensions. Extensive support for time series data import and export, with calibration optimization and Markov chain Monte Carlo for estimation. Monte Carlo and other sensitivity simulation methods.
Prophet: A simple model for time series prediction. Quality Control: Investigate if a manufactured product adheres to a defined set of quality criteria. Reliability: Quantify the reliability of test scores. Robust T-Tests: Robustly evaluate the difference between two means.