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object DiffStructure

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Type Members

  1. type M = AtomicMove
  2. type P = Presentation
  3. type V = Moves

Value Members

  1. def addCollection(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]
  2. def conjugateByFeedback(presCntn: Double, wrdCntn: Double, scale: Double = 1)(rank: Int, iterations: Int = 5)(lst: List[M]): ((FiniteDistribution[M], FiniteDistribution[V])) => (FiniteDistribution[M], FiniteDistribution[V])
  3. def genCollection(lst: List[M]): List[AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]]
  4. def genDynamics(conjFunc: ((FiniteDistribution[M], FiniteDistribution[V])) => (FiniteDistribution[M], FiniteDistribution[V]))(orig: (FiniteDistribution[M], FiniteDistribution[V])): (FiniteDistribution[M], FiniteDistribution[V])
  5. def genExtendM(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), (FiniteDistribution[M], FiniteDistribution[V])]
  6. def genMoveFn(mf: M): AdjDiffbleFunction[FiniteDistribution[Moves], FiniteDistribution[Moves]]
  7. def genPresentationMoveFn(rank: Int): MoveFn[V, Presentation]
  8. def genProjectionMap(rank: Int, iterations: Int = 5)(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[Presentation]]
  9. def genWtDyn(mf: M): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]
  10. def getFeedback(presCntn: Double, wrdCntn: Double, scale: Double = 1)(dist: FiniteDistribution[P]): FiniteDistribution[P]
  11. def iterateDiff(lst: List[M], iterations: Int = 5): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), (FiniteDistribution[M], FiniteDistribution[V])]