com.cra.figaro.experimental.structured

ProblemComponent

class ProblemComponent[Value] extends AnyRef

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Instance Constructors

  1. new ProblemComponent(problem: Problem, element: Element[Value])

Value Members

  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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def constraintFactors(bounds: Bounds = Lower): List[Factor[Double]]

    Gets the constraint factors for this component.

    Gets the constraint factors for this component. Returns the lower bound factors unless an Upper argument is provided.

  7. var constraintLower: List[Factor[Double]]

    Lower bound factors resulting from conditions and constraints on this element.

    Lower bound factors resulting from conditions and constraints on this element. These should be updated when the range changes but otherwise should be left alone.

  8. var constraintUpper: List[Factor[Double]]

    Upper bound factors resulting from conditions and constraints on this element.

    Upper bound factors resulting from conditions and constraints on this element. These should be updated when the range changes but otherwise should be left alone.

  9. val element: Element[Value]

  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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    @throws( classOf[java.lang.Throwable] )
  13. def generateRange(numValues: Int = ...): Unit

    Generate a range of values for this component.

    Generate a range of values for this component. Also sets the variable for this component. The optional argument is the number of values to include in the range. This argument is only used for atomic elements. If an argument is not in the component collection, we do not generate the argument, but instead assume its only value is *. This doesn't change the range of any other element or expand any subproblems. The range will include * based on argument ranges including * or any subproblem not being expanded.\

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def makeConstraintFactors(bounds: Bounds = Lower): Unit

    Generate the constraint factors based on the current range.

    Generate the constraint factors based on the current range. Bounds specifies whether these should be created for computing lower or upper bounds.

  18. def makeNonConstraintFactors(parameterized: Boolean = false): Unit

    Generate the non-constraint factors based on the current range.

    Generate the non-constraint factors based on the current range. For most elements, this just generates the factors in the usual way. For a chain, this takes the current solution to the subproblems, which are lists of factors over this and other components. The parameterized flag indicates whether parameterized elements should have special factors created that use the MAP values of their arguments.

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

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  20. var nonConstraintFactors: List[Factor[Double]]

    All non-constraint factors resulting from the definition of this element.

    All non-constraint factors resulting from the definition of this element. For many element classes, these factors will be generated directly in the usual way. For chains, they will include the solutions of subproblems.

  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val problem: Problem

  24. var range: ValueSet[Value]

    The current range of the element.

    The current range of the element. May grow or change over time.

  25. def setVariable(v: Variable[Value]): Unit

    Set the variable associated with this component to the given variable.

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

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  27. def toString(): String

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  28. def variable: Variable[Value]

    The current variable representing this component in factors.

    The current variable representing this component in factors. This is set automatically when the range is updated.

  29. final def wait(): Unit

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

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

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