object DiffStructure
Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- def addCollection(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- 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])
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- def genCollection(lst: List[M]): List[AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]]
- def genDynamics(conjFunc: ((FiniteDistribution[M], FiniteDistribution[V])) => (FiniteDistribution[M], FiniteDistribution[V]))(orig: (FiniteDistribution[M], FiniteDistribution[V])): (FiniteDistribution[M], FiniteDistribution[V])
- def genExtendM(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), (FiniteDistribution[M], FiniteDistribution[V])]
- def genMoveFn(mf: M): AdjDiffbleFunction[FiniteDistribution[Moves], FiniteDistribution[Moves]]
- def genPresentationMoveFn(rank: Int): MoveFn[V, Presentation]
- def genProjectionMap(rank: Int, iterations: Int = 5)(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[Presentation]]
- def genWtDyn(mf: M): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]
- final def getClass(): Class[_ <: AnyRef]
- def getFeedback(presCntn: Double, wrdCntn: Double, scale: Double = 1)(dist: FiniteDistribution[P]): FiniteDistribution[P]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- def iterateDiff(lst: List[M], iterations: Int = 5): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), (FiniteDistribution[M], FiniteDistribution[V])]
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
Deprecated Value Members
- def finalize(): Unit
Inherited from AnyRef
Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- def clone(): AnyRef
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
- def finalize(): Unit
Inherited from Any
Value Members
- final def asInstanceOf[T0]: T0
- final def isInstanceOf[T0]: Boolean
Ungrouped
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- def addCollection(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- 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])
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- def genCollection(lst: List[M]): List[AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]]
- def genDynamics(conjFunc: ((FiniteDistribution[M], FiniteDistribution[V])) => (FiniteDistribution[M], FiniteDistribution[V]))(orig: (FiniteDistribution[M], FiniteDistribution[V])): (FiniteDistribution[M], FiniteDistribution[V])
- def genExtendM(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), (FiniteDistribution[M], FiniteDistribution[V])]
- def genMoveFn(mf: M): AdjDiffbleFunction[FiniteDistribution[Moves], FiniteDistribution[Moves]]
- def genPresentationMoveFn(rank: Int): MoveFn[V, Presentation]
- def genProjectionMap(rank: Int, iterations: Int = 5)(lst: List[M]): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[Presentation]]
- def genWtDyn(mf: M): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), FiniteDistribution[V]]
- final def getClass(): Class[_ <: AnyRef]
- def getFeedback(presCntn: Double, wrdCntn: Double, scale: Double = 1)(dist: FiniteDistribution[P]): FiniteDistribution[P]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- def iterateDiff(lst: List[M], iterations: Int = 5): AdjDiffbleFunction[(FiniteDistribution[M], FiniteDistribution[V]), (FiniteDistribution[M], FiniteDistribution[V])]
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
- def finalize(): Unit