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class ReduceWithEqs extends AnyRef

Reduce a term (currently: a linear combination) by rewriting with equations. The equations have to be given in form of a mapping from atomic terms (constants or variables) to linear combinations

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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 addEquations(furtherEqs: Map[Term, LinearCombination]): ReduceWithEqs
  5. def apply(conj: PredConj, logger: ComputationLogger): PredConj
  6. def apply(conj: PredConj): PredConj
  7. def apply(conj: InEqConj, logger: ComputationLogger): InEqConj
  8. def apply(conj: InEqConj): InEqConj
  9. def apply(conj: NegEquationConj, logger: ComputationLogger): NegEquationConj
  10. def apply(conj: NegEquationConj): NegEquationConj
  11. def apply(conj: EquationConj): EquationConj
  12. def apply(lc: LinearCombination, terms: Buffer[(IdealInt, LinearCombination)]): LinearCombination
  13. def apply(lc: LinearCombination): LinearCombination
  14. final def asInstanceOf[T0]: T0
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  15. def clone(): AnyRef
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    @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
  16. final def eq(arg0: AnyRef): Boolean
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  17. def equals(arg0: AnyRef): Boolean
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  18. final def getClass(): Class[_ <: AnyRef]
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  19. def hashCode(): Int
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  20. def isEmpty: Boolean
  21. final def isInstanceOf[T0]: Boolean
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  22. final def ne(arg0: AnyRef): Boolean
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  23. final def notify(): Unit
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  24. final def notifyAll(): Unit
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  25. def passQuantifiers(num: Int): ReduceWithEqs

    Create a ReduceWithEqs that can be used underneath num binders.

    Create a ReduceWithEqs that can be used underneath num binders. The conversion of de Brujin-variables is done on the fly, which should give a good performance when the resulting ReduceWithEqs is not applied too often (TODO: caching)

  26. def pseudoReduce(lc: LinearCombination): LinearCombination

    Same as apply(lc:LinearCombination), but also multiply <cocde>lc with integers in case this allows us to eliminate the leading term (pseudo-division).

    Same as apply(lc:LinearCombination), but also multiply <cocde>lc with integers in case this allows us to eliminate the leading term (pseudo-division). It is ensured that the resulting LinearCombination has a positive leading coefficient

  27. final def synchronized[T0](arg0: => T0): T0
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  28. def toString(): String
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  29. final def wait(arg0: Long, arg1: Int): Unit
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  30. final def wait(arg0: Long): Unit
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  31. final def wait(): Unit
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  1. def finalize(): Unit
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    Deprecated

    (Since version 9)

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