name: aivika
version: 5.3.1
synopsis: A multi-method simulation library
description:
Aivika is a discrete event simulation (DES) framework with support of activity-oriented,
event-oriented and process-oriented paradigms. It supports resource preemption and other
improved simulation techniques. There is also a partial support of system dynamics and
agent-based modelling. All the complexity is hidden under easy-to-use computations.
.
The represented package is a basic simulation library optimized for sequential execution.
There are also packages for nested and parallel distributed simulation.
.
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 basis 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 based on specified queue strategies
(FCFS\/FIFO, LCFS\/LIFO, SIRO, static priorities and so on);
.
* allows customizing the unbounded and bounded queues based on strategies too;
.
* supports the resource preemption;
.
* allows defining a queue network based on streams of data (transacts);
.
* allows using a GPSS-like DSL with help of the additional library;
.
* allows simulating circuits with recursive links and delays;
.
* supports the activity-oriented paradigm of DES;
.
* supports basic constructs for the agent-based modeling such as
agents, states, timeout and timer handlers;
.
* allows creating combined discrete-continuous models as all parts
of the library are well integrated and this is reflected directly
in the type system;
.
* the arrays of simulation variables are inherently supported;
.
* supports the Monte-Carlo simulation;
.
* the simulation model can depend on external parameters;
.
* uses extensively signals for notification;
.
* allows gathering statistics in time points;
.
* hides technical details in high-level simulation computations
(monads, streams and arrows).
.
The simulation engine itself has minimal dependencies.
However, there are additional packages [1, 2] that offer the following
features:
.
* automating 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;
.
* has an extensible architecture.
.
The charting package has two interchangeable back-ends [3, 4],
where one of them uses Cairo and it creates small PNG images, while another
creates more detailed SVG files and it can be used on Windows.
.
There are also additional packages that allow saving the results of simulation
in SQL databases. Then the results can be accessed from other software applications.
For example, it can be useful when creating flight simulators in other programming languages
such as C# or Java.
.
Moreover, the method was generalized [5] and applied to
nested simulation [6] and parallel distributed simulation [7].
.
The libraries were tested on Linux, Windows and OS X.
.
The PDF documentation, installation instructions and a more full information about Aivika
are available on the the AivikaSoft website [8].
.
\[1]
.
\[2]
.
\[3]
.
\[4]
.
\[5]
.
\[6]
.
\[7]
.
\[8]
.
P.S. Aivika is actually a genuine female Mari name which is pronounced
with stress on the last syllable.
.
category: Simulation
license: BSD3
license-file: LICENSE
copyright: (c) 2009-2017. David Sorokin
author: David Sorokin
maintainer: David Sorokin
homepage: http://www.aivikasoft.com
cabal-version: >= 1.10
build-type: Simple
tested-with: GHC == 8.0.2
extra-source-files: examples/BassDiffusion.hs
examples/BouncingBall.hs
examples/ChemicalReaction.hs
examples/ChemicalReactionCircuit.hs
examples/FishBank.hs
examples/MachRep1.hs
examples/MachRep1EventDriven.hs
examples/MachRep1TimeDriven.hs
examples/MachRep2.hs
examples/MachRep3.hs
examples/MachineBreakdowns.hs
examples/Furnace.hs
examples/InspectionAdjustmentStations.hs
examples/InventorySystem.hs
examples/WorkStationsInSeries.hs
examples/QuarryOperations.hs
examples/TimeOut.hs
examples/TimeOutInt.hs
examples/TimeOutWait.hs
examples/PERT.hs
examples/PingPong.hs
examples/PortOperations.hs
examples/SingleLaneTraffic.hs
examples/RenegingFromQueue.hs
examples/TruckHaulingSituation.hs
CHANGELOG.md
library
exposed-modules: Simulation.Aivika
Simulation.Aivika.Activity
Simulation.Aivika.Activity.Random
Simulation.Aivika.Agent
Simulation.Aivika.Arrival
Simulation.Aivika.Channel
Simulation.Aivika.Circuit
Simulation.Aivika.Composite
Simulation.Aivika.Cont
Simulation.Aivika.DoubleLinkedList
Simulation.Aivika.Dynamics
Simulation.Aivika.Dynamics.Extra
Simulation.Aivika.Dynamics.Memo
Simulation.Aivika.Dynamics.Memo.Unboxed
Simulation.Aivika.Dynamics.Random
Simulation.Aivika.Event
Simulation.Aivika.Gate
Simulation.Aivika.Generator
Simulation.Aivika.Internal.Cont
Simulation.Aivika.Internal.Dynamics
Simulation.Aivika.Internal.Event
Simulation.Aivika.Internal.Parameter
Simulation.Aivika.Internal.Process
Simulation.Aivika.Internal.Simulation
Simulation.Aivika.Internal.Specs
Simulation.Aivika.Internal.Arrival
Simulation.Aivika.Net
Simulation.Aivika.Net.Random
Simulation.Aivika.Operation
Simulation.Aivika.Operation.Random
Simulation.Aivika.Parameter
Simulation.Aivika.Parameter.Random
Simulation.Aivika.PriorityQueue
Simulation.Aivika.PriorityQueue.Pure
Simulation.Aivika.Process
Simulation.Aivika.Process.Random
Simulation.Aivika.Processor
Simulation.Aivika.Processor.Random
Simulation.Aivika.Processor.RoundRobbin
Simulation.Aivika.Queue
Simulation.Aivika.Queue.Base
Simulation.Aivika.Queue.Infinite
Simulation.Aivika.Queue.Infinite.Base
Simulation.Aivika.QueueStrategy
Simulation.Aivika.Ref
Simulation.Aivika.Ref.Base
Simulation.Aivika.Resource
Simulation.Aivika.Resource.Base
Simulation.Aivika.Resource.Preemption
Simulation.Aivika.Resource.Preemption.Base
Simulation.Aivika.Results.Locale
Simulation.Aivika.Results.Locale.Russian
Simulation.Aivika.Results.Locale.English
Simulation.Aivika.Results.Locale.Types
Simulation.Aivika.Results.Transform
Simulation.Aivika.Results
Simulation.Aivika.Results.IO
Simulation.Aivika.Server
Simulation.Aivika.Server.Random
Simulation.Aivika.Signal
Simulation.Aivika.Signal.Random
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.Transform
Simulation.Aivika.Transform.Extra
Simulation.Aivika.Transform.Memo
Simulation.Aivika.Transform.Memo.Unboxed
Simulation.Aivika.Unboxed
Simulation.Aivika.Var
Simulation.Aivika.Var.Unboxed
Simulation.Aivika.Vector
Simulation.Aivika.Vector.Unboxed
build-depends: base >= 4.6.0.0 && < 6,
mtl >= 2.1.1,
array >= 0.3.0.0,
containers >= 0.4.0.0,
random >= 1.0.0.3,
mwc-random >= 0.13.0.0,
vector >= 0.10.0.1,
deepseq >= 1.1.0.0,
binary >= 0.6.4.0
other-extensions: FlexibleContexts,
FlexibleInstances,
UndecidableInstances,
BangPatterns,
RecursiveDo,
Arrows,
MultiParamTypeClasses,
FunctionalDependencies,
ExistentialQuantification,
TypeFamilies,
DeriveDataTypeable,
DeriveGeneric,
TypeSynonymInstances,
RankNTypes,
OverlappingInstances
ghc-options: -O2
default-language: Haskell2010
source-repository head
type: git
location: https://github.com/dsorokin/aivika