Search Results for "stochastic"
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Showing 30 open source projects for "stochastic"
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LINE Solver
Queueing Theory Algorithms
LINE is an open-source software package to analyze queueing models via analytical methods and simulation. The solver is available for Java/Kotlin, MATLAB, and Python. LINE features algorithms for the solution of open queueing systems (e.g., M/M/1, M/M/k, M/G/1, ...), open and closed queueing networks, and layered queueing networks. Additional details are available on the project website: http://line-solver.sf.net. -
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Java Modelling Tools is a suite of scientific tools for performance analysis and modelling using queueing theory and colored stochastic Petri nets. Models are solved either with analytical, asymptotic or simulation methods; workload characterization tools are also included in the suite. See the project website for more details: http://jmt.sf.net
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LabRPS
Random phenomena generator
...Code and release files are primarily hosted on https://github.com/LabRPS/LabRPS and mirrored here LabRPS aims to be a tool for the numerical simulation of random phenomena such as stochastic wind velocity, seismic ground motion, sea surface ... etc. It can be in a wide range of uses around engineering, such as random vibration or vibration fatigue in mechanical engineering, buffeting analysis in bridge engineering.... LabRPS is mainly to assist reseachers in related fields to quickly implement new simulation methods programmatically in their new research work based on the existing works, help engineers to numerically generate random phenomena in a more realistic way, helps students and new comers to this field to learn quickly. ... -
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...Zgoubi simulates beam dynamics and polarization in a variety of accelerators (storage ring, synchrotron, cyclotron, betatron, microtron, FFAG, multi-pass ERL, etc) and optical systems (beam lines, magnetic and electrostatic optical components, time-of-flight and mass spectrometers, etc). The code includes built-in fitting procedures with a wide variety of constraints; stochastic SR energy loss; the tracking of synchrotron radiation (SR) Poynting vector; space charge models; various Monte Carlo procedures, etc. Contact: francoisgmeot@gmail.com Documentation (History of accelerators that zgoubi deals with, theory, tutorials): https://link.springer.com/book/10.1007/978-3-031-59979-8 https://link.springer.com/book/10.1007/978-3-031-16715-7, Chap. 14.
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StochSD
CSS package for contin., discrete and combined modelling & simulation
...In particular, StochSD includes features for stochastic modelling and post analysis of multiple simulations followed by presentation of the results in statistical form. Tools for Sensitivity Analysis, Optimization and Statistical Analysis are parts of StochSD. -
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PCRaster
PCRaster environmental modeling software
...A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data. -
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MED-FOES
An Agent-Based Simulation of Invasive Pest Insects
MED-FOES is an implementation of a stochastic Agent-Based Simulation (ABS) system for analyzing demographic changes in a single population of Medfly (Ceratitis capitata) over time. The simulation currently takes population extinction as a given because it aims to give us better estimates of necessary quarantine lengths in areas where Medfly is not currently established but does repeatedly invade. -
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Cambridge Rocketry Simulator
Simulate high power rocket flights with splash down plots
...Running in Monte Carlo mode allows generates multiple possible flight paths and splash down plots, indicating the probability of landing in an area. Peer-reviewed publication in the Journal of Open Research Software (JORS) http://doi.org/10.5334/jors.137 "Cambridge Rocketry Simulator – A Stochastic Six-Degrees-of-Freedom Rocket Flight Simulator" -
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
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RSSA
Rejection-based stochastic simulation algorithm (RSSA)
Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates. -
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fesslix
Stochastic Analysis
A brief summary of the main features of Fesslix: - Perform non-intrusive reliability analysis or Bayesian updating either --- by running commands on the command line or --- by means of an Octave interface or --- by means of a Python interface - Flexible input language for writing Fesslix parameter files --- Control flow statements (e.g. if, for, while) --- Most parameters can be defined as functions - Working with response surfaces - Linear finite element analysis using truss, beam and plane stress/strain elements - Spectral Stochastic Finite Elements - Bayesian networks This is the download page for Windows executables of Fesslix. -
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abc-sde
approximate Bayesian computation for stochastic differential equations
A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models. It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. -
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NAADSM
A framework for simulating the spread and control of animal diseases
NAADSM is a framework for creating stochastic, spatial, state-transition simulation models of the spread and control of highly contagious diseases of animals. User-established parameters define model behavior in terms of disease progression; disease spread by animal-to-animal contact, contact with contaminated personnel or equipment, and airborne dissemination; and the implementation of control measures such as vaccination and depopulation. -
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SPiM2Eclipse
Eclipse plugin for Stochastic Pi Machine
Stochastic Pi Machine (SPiM), created by Microsoft, is a programming language for modeling biological processes. Two tools are available from Microsoft for simulation. A web application Visual SPiM, and a destkop application SPiM Player. Both simulation tools require to be run on a Windows platform. Fortunately Microsoft has also released a command line version for Linux and Mac OS based on OCAML however this version will only output a CSV file for the simulation results. ... -
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simbTUM
Simulation of stochastic processes and ODE models in biology.
SIMulation of Biological systems (developed at the TU Munich) This program allows to define ODE-models or stochastic compartemental models of biological processes, to simulate, to fit data and to do some statistics (fitting and statistics for deterministic models only). -
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OpenBioGeoSim it's a open source software that simulates the stochastic origin and spread of species geographic ranges in a heterogeneous landscape. It's a free alternative based on Gary Entsminger's BioGeoSim.
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NetBuilder' is a tool for building, visualizing, and simulating multi-layered biological networks, structured as hierarchical Petri-nets. It has a built-in stochastic simulator, but also provides easy access to other simulation and analysis.
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Eden 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.
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A reactor solver which uses stochastic particle methods to model particle population balances. This code is developed by the CoMo group in the chemical engineering department at the university of Cambridge (como.cheng.cam.ac.uk).
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simgi is a simulation engine for stochastic simulations of reactive systems using Gillespie's method written in Haskell.
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This project is aimed at analysis of the bat's cochlear model for its echo location performance. It uses DSP and statistical/stochastic signal processing theory. Language: Matlab and C/C++
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Meredys (MEsoscopic REaction DYnamics Simulator) is a particle based stochastic simulation software designed to model and simulate reaction-diffusion systems. (http://www.ebi.ac.uk/compneur-srv/meredys.html)
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Software implementing various forms of the Reed-Frost model for epidemiology simulation purposes. This project includes deterministic and stochastic implementations, as well as, extensions to Reed-Frost.
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4-Dimensional Cell Simulator (4DiCeS) is a framework on hybrid (stochastic and deterministic) modeling and simulation of (whole) cell environments in 4D. The framework may incorporate any reaction and diffusion algorithms applicable in a 4D grid layout.
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QHQ++ is a C++ library includes: QHQc++ (C++ Numerical Library), QHQmcmc++ (Markov Chain Monte Carlo C++ Library, Bayesian Statistics), QHQsv++ (Stochastic Volatility C++ Library, Finance), QHQyc++ (Yield Curve Modeling C++ Library, Finance).