name: aivika version: 5.0.1 synopsis: A multi-method simulation library description: Aivika is a multi-method simulation library focused on discrete event simulation (DES) with partial support of system dynamics and agent-based modeling. . 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 based on specified queue strategies (FCFS\/FIFO, LCFS\/LIFO, SIRO, static priorities and so on); . * allows customizing the infinite and finite queues based on strategies too; . * supports the resource preemption; . * allows defining a queue network based on streams of data (transacts) and their processors; . * 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). . Aivika itself is a light-weight engine with minimal dependencies. However, it has 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 is more preferable. . The PDF documentation and installation instructions are available on the Aivika Wiki website [5]. . Moreover, the method was generalized [6] and applied to nested simulation [7] and parallel distributed simulation [8]. . The libraries were tested on Linux, Windows and OS X. . A more full information about Aivika is available on the project website [9]. . \[1] . \[2] . \[3] . \[4] . \[5] . \[6] . \[7] . \[8] . \[9] . 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) 2009-2016. David Sorokin author: David Sorokin maintainer: David Sorokin homepage: http://www.aivikasoft.com/en/products/aivika.html cabal-version: >= 1.10 build-type: Simple tested-with: GHC == 8.0.1 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.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.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 other-modules: 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 build-depends: base >= 4.5.0.0 && < 6, mtl >= 2.1.1, array >= 0.3.0.0, containers >= 0.4.0.0, random >= 1.0.0.3, vector >= 0.10.0.1 other-extensions: FlexibleContexts, FlexibleInstances, UndecidableInstances, BangPatterns, RecursiveDo, Arrows, MultiParamTypeClasses, FunctionalDependencies, ExistentialQuantification, TypeFamilies, DeriveDataTypeable, TypeSynonymInstances, RankNTypes ghc-options: -O2 default-language: Haskell2010 source-repository head type: git location: https://github.com/dsorokin/aivika