Packages

class ArcD extends PetriNetRules with Identifiable

The ArcD class represents an arc connecting continuous place with a transition. If incoming is true the arc is from the place to transition, otherwise it is from the transition to the place (outgoing).

Linear Supertypes
Identifiable, Error, PetriNetRules, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ArcD
  2. Identifiable
  3. Error
  4. PetriNetRules
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new ArcD(place: PlaceD, transition: Transition, incoming: Boolean, minFluids: VectorD, rates: VectorD = null, derv: Array[Derivative] = null, testArc: Boolean = false, scaleFactor: Double = 1.0)

    place

    the continuous place at one end of the arc

    transition

    the transition the other end of the arc

    incoming

    whether the arc goes into a transition

    minFluids

    minimum amount of fluid to transport over the arc

    rates

    the rate vector for the linear flow model

    derv

    the array of derivative functions for ODE's

    testArc

    whether the arc is a test arc meaning the tokens/fluids stay

    scaleFactor

    the scale factor for the firing delay

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def _fluidFlow(fluids: VectorD, time: Double, firingDelay: Double): VectorD

    Compute the amount of fluid of each color to flow over 'this' arc.

    Compute the amount of fluid of each color to flow over 'this' arc.

    fluids

    the amount of fluid available

    time

    the current time

    firingDelay

    the time it takes for the transition to fire

  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def calcFiringDelay(v: Variate, w_t: VectorD, t: VectorI, w_f: VectorD, f: VectorD): Double

    Function to compute the delay in firing a transition.

    Function to compute the delay in firing a transition. The base time is given by a random variate. This is adjusted by weight vectors multiplying the number of aggregate tokens and the aggregate amount of fluids summed over all input places: delay = v + w_t * t + w_f * f.

    v

    the random variate used to compute base firing time

    w_t

    the weight for the token vector

    t

    the aggregate token vector (summed over all input places)

    w_f

    the weight for the fluid vector

    f

    the aggregate fluid level vector (summed over all input places)

    Definition Classes
    PetriNetRules
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(that: Any): Boolean
    Definition Classes
    Identifiable → AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  12. def fluidFlow(f: VectorD, derv: Array[Derivative], t0: Double, d: Double): VectorD

    Compute the amount of fluid to flow over an arc according to the system of first-order Ordinary Differential Equation 'ODE's: "integral 'derv' from t0 to t".

    Compute the amount of fluid to flow over an arc according to the system of first-order Ordinary Differential Equation 'ODE's: "integral 'derv' from t0 to t". Supports ODE base flow models.

    f

    the fluid vector (amount of fluid per color)

    derv

    the array of derivative functions

    t0

    the current time

    d

    the time delay

    Definition Classes
    PetriNetRules
  13. def fluidFlow(f: VectorD, b: VectorD, r: VectorD = null, d: Double = 0): VectorD

    Compute the amount of fluid to flow over an arc according to the vector expression: b + r * (f-b) * d.

    Compute the amount of fluid to flow over an arc according to the vector expression: b + r * (f-b) * d. If r is 0, returns b. Supports linear (w.r.t. time delay) and constant (d == 0) flow models.

    f

    the fluid vector (amount of fluid per color)

    b

    the constant vector for base fluid flow

    r

    the rate vector (amounts of fluids per unit time)

    d

    the time delay

    Definition Classes
    PetriNetRules
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def hashCode(): Int
    Definition Classes
    Identifiable → AnyRef → Any
  16. val id: Int
    Definition Classes
    Identifiable
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. def me: String
    Definition Classes
    Identifiable
  19. val minFluids: VectorD
  20. def name: String
    Definition Classes
    Identifiable
  21. def name_=(name: String): Unit
    Definition Classes
    Identifiable
  22. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  23. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. val place: PlaceD
  26. def simType: String
    Definition Classes
    Identifiable
  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  28. def thresholdD(f: VectorD, b: VectorD): Boolean

    Return whether the vector inequality is true: f >= b.

    Return whether the vector inequality is true: f >= b. The firing threshold should be checked for every incoming arc. If all return true, the transition should fire.

    f

    The fluid vector (amount of fluid per color)

    b

    The base constant vector

    Definition Classes
    PetriNetRules
  29. def thresholdI(t: VectorI, b: VectorI): Boolean

    Return whether the vector inequality is true: t >= b.

    Return whether the vector inequality is true: t >= b. The firing threshold should be checked for every incoming arc. If all return true, the transition should fire.

    t

    the token vector (number of tokens per color)

    b

    the base constant vector

    Definition Classes
    PetriNetRules
  30. def toString(): String
    Definition Classes
    AnyRef → Any
  31. def tokenFlow(t: VectorI, b: VectorI, r: VectorI = null, d: Double = 0): VectorI

    Compute the number of tokens to flow over an arc according to the vector expression: b + r * (t-b) * d.

    Compute the number of tokens to flow over an arc according to the vector expression: b + r * (t-b) * d. If d is 0, returns b. Supports linear (w.r.t. time delay) and constant (d == 0) flow models.

    t

    the token vector (number of tokens per color)

    b

    the constant vector for base token flow

    r

    the rate vector (number of tokens per unit time)

    d

    the time delay

    Definition Classes
    PetriNetRules
  32. val transition: Transition
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from Identifiable

Inherited from Error

Inherited from PetriNetRules

Inherited from AnyRef

Inherited from Any

Ungrouped