Stochastic Simulation
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StochPy for Linux 1.0.9 Beta v.1.0
StochPy (Stochastic modelling in Python) is an easy-to-use package, which provides several stochastic simulation algorithms (SSAs), which can be used to simulate biochemical systems in a stochastic manner.
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StochPy 1.0.9 Beta v.1.0
StochPy (Stochastic modelling in Python) is an easy-to-use package, which provides several stochastic simulation algorithms (SSAs), which can be used to simulate biochemical systems in a stochastic manner.
MesoRD v.1.0 Alpha
Mesoscopic Reaction Diffusion Simulator. Simulate coupled chemical reactions with this program. MesoRD is a software for stochastic simulation of reactions and diffusion. In particular, it is an implementation of the Next Subvolume Method,
Cain v.1.10
Cain performs stochastic and deterministic simulations of chemical reactions.
Cain for Mac OS X v.1.10
Cain performs stochastic and deterministic simulations of chemical reactions.
CVaR Expert v.1.13
This software allows you to manage your portfolio risk. It implements conditional value-at-risk, BetaVaR, component VaR and traditional VaR measures for large portfolios. An integrated optimizer can solve for the minimum CVaR portfolio,
QuantiNEMO v.1.0.3
quantiNEMO is an individual-based software for the analysis of quantitative traits with explicit genetic architecture potentially under selection in a structured population.Study selection effects with this simulation. quantiNEMO is a convenient,
STochastic Engine for Pathway Simulation v.1.3.0
Stochastic simulator for signaling pathways occuring in biological cells.
STOChastic Kinetic Simulator v.2.0
STOChastic Kinetic Simulation of biochemical processes with Gillespie algorithm. Biochemical processes simulations made easy. STOChastic Kinetic Simulator (STOCKS) help you perform stochastic simulations of biochemical processes.
Eden - Stochastic Urban Model v.0.2 Beta
Eden - Stochastic Urban Model is a celular automata based urban simulation models that may be used as urban laboratory to explore various interesting ideas of urban policies about how city work and change over time.Features: 1. Experiments of
Stochastic Local Search Based CSP Solver v.4.6.0
Stochastic Local Search Based CSP Solver use stochastic local search algorithms to solve constraint satisfaction problems. Constraint satisfaction problems (CSPs) are pervasive in AI problems.