FactoredFrontier

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def apply(initial: Universe, transition: (Universe) ⇒ Universe, stepTimeMillis: Long): FactoredFrontier

   

   A Factored Frontier that runs with anytime Belief Propagation.

   A Factored Frontier that runs with anytime Belief Propagation.

   initial

   The universe describing the distribution over the initial state of the system.

   transition

   The transition model describing how the current state of the system depends on the previous.

   stepTimeMillis

   The time, in milliseconds, for which to run Belief Propagation at each time step.

5. def apply(static: Universe, initial: Universe, transition: (Universe, Universe) ⇒ Universe, stepTimeMillis: Long): FactoredFrontier

   

   A Factored Frontier that runs with anytime Belief Propagation and a static universe.

   A Factored Frontier that runs with anytime Belief Propagation and a static universe.

   static

   The universe of elements that do not change over time.

   initial

   The universe describing the distribution over the initial state of the system.

   transition

   The transition model describing how the current state of the system depends on the static and previous, respectively.

   stepTimeMillis

   The time, in milliseconds, for which to run Belief Propagation at each time step.

6. def apply(initial: Universe, transition: (Universe) ⇒ Universe, iterations: Int): FactoredFrontier

   

   A Factored Frontier that runs with one time Belief Propagation.

   A Factored Frontier that runs with one time Belief Propagation.

   initial

   The universe describing the distribution over the initial state of the system.

   transition

   The transition model describing how the current state of the system depends on the previous.

   iterations

   The number of iterations with which to run Belief Propagation at each time step.

7. def apply(static: Universe, initial: Universe, transition: (Universe, Universe) ⇒ Universe, iterations: Int): FactoredFrontier

   

   A Factored Frontier that runs with one time Belief Propagation and a static universe.

   A Factored Frontier that runs with one time Belief Propagation and a static universe.

   static

   The universe of elements that do not change over time.

   initial

   The universe describing the distribution over the initial state of the system.

   transition

   The transition model describing how the current state of the system depends on the static and previous, respectively.

   iterations

   The number of iterations with which to run Belief Propagation at each time step.

8. final def asInstanceOf[T0]: T0

   

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9. def clone(): AnyRef

   

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10. final def eq(arg0: AnyRef): Boolean

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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13. final def getClass(): Class[_]

    

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14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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16. final def ne(arg0: AnyRef): Boolean

    

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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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19. final def synchronized[T0](arg0: ⇒ T0): T0

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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22. final def wait(arg0: Long, arg1: Int): Unit

    

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23. final def wait(arg0: Long): Unit

    

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