# The aivika package

- 'ghc-options: -O2' is rarely needed. Check that it is giving a real benefit and not just imposing longer compile times on your users.
- Exposed modules use unallocated top-level names: Simulation

Aivika is a multi-paradigm simulation library with a strong emphasis on the Discrete Event Simulation (DES) in the first order and System Dynamics (SD) in the second one.

The library has the following features:

allows defining recursive stochastic differential equations of System Dynamics (unordered as in maths via the recursive do-notation);

supports the event-driven paradigm of DES as a basic core for implementing other paradigms;

supports extensively the process-oriented paradigm of DES with an ability to resume, suspend and cancel the discontinuous processes;

allows working with the resources (you can define your own behaviour or use the predefined queue strategies);

allows customizing the queues (you can define your own behaviour or use the predefined queue strategies);

allows defining an infinite stream of data based on the process-oriented computation, where we can define a complex enough behaviour just in a few lines of code;

allows defining processors (actually, the Haskell arrows) that operate on the infinite streams of data, because of which some models can remind of their high-level graphical representation on the diagram used by visual simulation software tools;

supports the activity-oriented paradigm of DES;

supports the basic constructs for the agent-based modeling;

allows creating combined discrete-continuous models as all parts of the library are very well integrated and this is reflected directly in the type system;

the arrays of simulation variables are inherently supported (this is mostly a feature of Haskell itself);

supports the Monte-Carlo simulation;

the simulation model can depend on external parameters;

uses extensively the signals to notify the model about changing the reference and variable values;

allows gathering statistics in time points;

hides the technical details in high-level simulation monads and even one arrow (some of these monads support the recursive do-notation).

Aivika itself is a light-weight engine with minimal dependencies. However, it has additional packages Aivika Experiment [1] and Aivika Experiment Chart [2] that offer the following features:

automating the simulation experiments;

saving the results in CSV files;

plotting the deviation chart by rule 3-sigma, histogram, time series, XY chart;

collecting the summary of statistical data;

parallel execution of the Monte-Carlo simulation;

have an extensible architecture.

All three libraries were tested on Linux, Windows and OS X.

Please read the PDF document An Introduction to Aivika Simulation Library [3] for more details, although it is outdated and contains a very basic description only. The most powerful features of Aivika are not yet described in this PDF document.

[1] http://hackage.haskell.org/package/aivika-experiment

[2] http://hackage.haskell.org/package/aivika-experiment-chart

[3] https://github.com/dsorokin/aivika/blob/master/doc/aivika.pdf

- No changelog available

## Properties

Versions | 0.1, 0.2, 0.3, 0.4, 0.4.1, 0.4.2, 0.4.3, 0.5, 0.5.1, 0.5.4, 0.6, 0.6.1, 0.7, 1.0, 1.1, 1.1, 1.2, 1.2.1, 1.3 |
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Dependencies | array (>=0.3.0.0), base (>=4.5.0.0 && <6), containers (>=0.4.0.0), mtl (>=2.1.1), random (>=1.0.0.3) |

License | BSD3 |

Copyright | (c) 2009-2014. David Sorokin <david.sorokin@gmail.com> |

Author | David Sorokin |

Maintainer | David Sorokin <david.sorokin@gmail.com> |

Category | Simulation |

Home page | http://github.com/dsorokin/aivika |

Upload date | Sun Feb 16 16:14:29 UTC 2014 |

Uploaded by | DavidSorokin |

## Modules

*Simulation*- Simulation.Aivika
- Simulation.Aivika.Agent
- Simulation.Aivika.Arrival
- Simulation.Aivika.Cont
- Simulation.Aivika.DoubleLinkedList
- Simulation.Aivika.Dynamics
- Simulation.Aivika.Dynamics.Fold
- Simulation.Aivika.Dynamics.Interpolate
- Simulation.Aivika.Dynamics.Memo
- Simulation.Aivika.Dynamics.Memo.Unboxed

- Simulation.Aivika.Dynamics.Random

- Simulation.Aivika.Event
- Simulation.Aivika.Generator
- Simulation.Aivika.Parameter
- Simulation.Aivika.Parameter.Random

- Simulation.Aivika.PriorityQueue
- Simulation.Aivika.Process
- Simulation.Aivika.Processor
- Simulation.Aivika.Processor.RoundRobbin

- Simulation.Aivika.Queue
- Simulation.Aivika.Queue.Infinite

- Simulation.Aivika.QueueStrategy
- Simulation.Aivika.Ref
- Simulation.Aivika.Resource
- Simulation.Aivika.Server
- Simulation.Aivika.Signal
- Simulation.Aivika.Simulation
- Simulation.Aivika.Specs
- Simulation.Aivika.Statistics
- Simulation.Aivika.Statistics.Accumulator

- Simulation.Aivika.Stream
- Simulation.Aivika.Stream.Random

- Simulation.Aivika.SystemDynamics
- Simulation.Aivika.Table
- Simulation.Aivika.Task
- Simulation.Aivika.Unboxed
- Simulation.Aivika.Var
- Simulation.Aivika.Var.Unboxed

- Simulation.Aivika.Vector
- Simulation.Aivika.Vector.Unboxed

- Simulation.Aivika

## Downloads

- aivika-1.1.tar.gz [browse] (Cabal source package)
- Package description (included in the package)

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