Packages

  • package root
    Definition Classes
    root
  • package scalation
    Definition Classes
    root
  • package activity

    The activity package contains classes, traits and objects for activity-oriented simulation models (for example, Petri Nets).

    The activity package contains classes, traits and objects for activity-oriented simulation models (for example, Petri Nets).

    Definition Classes
    scalation
  • package analytics

    The analytics package contains classes, traits and objects for analytics including clustering and prediction.

    The analytics package contains classes, traits and objects for analytics including clustering and prediction.

    Definition Classes
    scalation
  • package animation

    The animation package contains classes, traits and objects for 2D animation of simulation objects.

    The animation package contains classes, traits and objects for 2D animation of simulation objects.

    Definition Classes
    scalation
  • package calculus

    The calculus package contains classes with methods for computing derivatives, gradient vectors, Jacobian matrices, integrals and basic operators in Functional Analysis.

    The calculus package contains classes with methods for computing derivatives, gradient vectors, Jacobian matrices, integrals and basic operators in Functional Analysis.

    Definition Classes
    scalation
  • package dynamics

    The dynamics package contains classes, traits and objects for system dynamics simulations using Ordinary Differential Equations (ODEs).

    The dynamics package contains classes, traits and objects for system dynamics simulations using Ordinary Differential Equations (ODEs).

    Definition Classes
    scalation
  • package dynamics_pde

    The dynamics_pde package contains classes, traits and objects for system dynamics simulations using Partial Differential Equations 'PDE's.

    The dynamics_pde package contains classes, traits and objects for system dynamics simulations using Partial Differential Equations 'PDE's.

    Definition Classes
    scalation
  • package event

    The event package contains classes, traits and objects for event oriented simulation models (for example, event scheduling or event graphs).

    The event package contains classes, traits and objects for event oriented simulation models (for example, event scheduling or event graphs).

    Definition Classes
    scalation
  • package maxima

    The maxima package contains classes, traits and objects for optimization to find maxima.

    The maxima package contains classes, traits and objects for optimization to find maxima.

    Definition Classes
    scalation
  • package minima

    The minima package contains classes, traits and objects for optimization to find minima.

    The minima package contains classes, traits and objects for optimization to find minima.

    Definition Classes
    scalation
  • package model

    The model package contains a trait giving a template for models to follow.

    The model package contains a trait giving a template for models to follow.

    Definition Classes
    scalation
  • package process

    The process package contains classes, traits and objects for process-oriented simulation models (for example, process-interaction).

    The process package contains classes, traits and objects for process-oriented simulation models (for example, process-interaction).

    Definition Classes
    scalation
  • package queueingnet

    The queueingnet package contains classes, traits and objects for solving simple queueing network problems.

    The queueingnet package contains classes, traits and objects for solving simple queueing network problems.

    Definition Classes
    scalation
  • package state

    The state package contains classes, traits and objects for state-oriented simulation models (for example, Markov Chains).

    The state package contains classes, traits and objects for state-oriented simulation models (for example, Markov Chains).

    Definition Classes
    scalation
  • HiddenMarkov
  • HiddenMarkovTest
  • HiddenMarkovTest2
  • MDP
  • MDPTest
  • Markov
  • MarkovC
  • MarkovCTest
  • MarkovTest
  • package tableau

    The tableau package contains classes for tableau oriented simulation models (similar to spreadsheet simulations).

    The tableau package contains classes for tableau oriented simulation models (similar to spreadsheet simulations).

    Definition Classes
    scalation

package state

The state package contains classes, traits and objects for state-oriented simulation models (for example, Markov Chains).

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Type Members

  1. class HiddenMarkov extends Classifier

    The HiddenMarkov classes provides Hidden Markov Models (HMM).

    The HiddenMarkov classes provides Hidden Markov Models (HMM). An HMM model consists of a probability vector 'pi' and probability matrices 'a' and 'b'. The discrete-time system is characterized by a hidden 'state(t)' and an 'observed(t)' symbol at time 't'.

    pi(j) = P(state(t) = j) a(i, j) = P(state(t+1) = j | state(t) = i) b(i, k) = P(observed(t) = k | state(t) = i)

    model (pi, a, b)

    See also

    www.cs.sjsu.edu/faculty/stamp/RUA/HMM.pdf

  2. class MDP extends AnyRef

    The MDP class provides Markov Decision Processes.

  3. class Markov extends Error

    The Markov class supports the creation and use of Discrete-Time Markov Chains 'DTMC's.

    The Markov class supports the creation and use of Discrete-Time Markov Chains 'DTMC's. Transient solution: compute the next state 'pp = p * tr' where 'p' is the current state probability vector and 'tr' is the transition probability matrix. Equilibrium solution (steady-state): solve for 'p' in 'p = p * tr'.

  4. class MarkovC extends Error

    The MarkovC class supports the creation and use of Continuous-Time Markov Chains 'CTMC's.

    The MarkovC class supports the creation and use of Continuous-Time Markov Chains 'CTMC's. Note: the transition matrix 'tr' gives the state transition rates off-diagonal. The diagonal elements must equal minus the sum of the rest of their row. Transient solution: Solve the Chapman-Kolmogorov differential equations. Equilibrium solution (steady-state): solve for 'p' in 'p * tr = 0'.

    See also

    www.math.wustl.edu/~feres/Math450Lect05.pdf

Value Members

  1. object HiddenMarkovTest extends App

    The HiddenMarkovTest object is used to test the HiddenMarkov class.

    The HiddenMarkovTest object is used to test the HiddenMarkov class. Given model '(pi, a, b)', determine the probability of the observations 'ob'.

    See also

    www.cs.sjsu.edu/~stamp/RUA/HMM.pdf (exercise 1). > runMain scalation.analytics.classifieu.HiddenMarkovTest

  2. object HiddenMarkovTest2 extends App

    The HiddenMarkovTest2 object is used to test the HiddenMarkov class.

    The HiddenMarkovTest2 object is used to test the HiddenMarkov class. Train the model (pi, a, b) based on the observed data. > runMain scalation.analytics.classifier.HiddenMarkovTest2

  3. object MDPTest extends App

    The MDPTest object is used to test the MDP class.

    The MDPTest object is used to test the MDP class. > runMain scalation.state.MDPTest

  4. object MarkovCTest extends App

    The MarkovCTest object tests the MarkovC class (Continuous-Time Markov Chains).

    The MarkovCTest object tests the MarkovC class (Continuous-Time Markov Chains). > runMain scalation.state.MarkovCTest

  5. object MarkovTest extends App

    The MarkovTest object tests the Markov class (Discrete-Time Markov Chains).

    The MarkovTest object tests the Markov class (Discrete-Time Markov Chains). > runMain scalation.state.MarkovTest

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