com.cra.figaro.algorithm.factored

VEGraph

class VEGraph extends AnyRef

Induced graph for variable elimination.

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Instance Constructors

  1. new VEGraph(factors: Traversable[Factor[_]])

    Create the initial induced graph from a set of factors.

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  8. def eliminate(variable: Variable[_]): VEGraph

    Returns the new graph after eliminating the given variable.

    Returns the new graph after eliminating the given variable. This includes a factor involving all the variables appearing in a factor with the eliminated variable, and excludes all factors in which the eliminated variable appears.

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. val info: Map[Variable[_], VariableInfo]

    A map from variables to information about the variables describing the factors to which it belongs and its neighbors.

  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. def score(variable: Variable[_]): Long

    Returns the elimination score, which is the increase in cost between the new factor involving the variable and the existing factors (we want to minimize score).

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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