PartitionedMatrixSolvers

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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. final def apply[V1, V2, V3, V4, VR](v1: V1, v2: V2, v3: V3, v4: V4)(implicit impl: Impl4[V1, V2, V3, V4, VR]): VR

   

   Definition Classes

   UFunc

5. final def apply[V1, V2, V3, VR](v1: V1, v2: V2, v3: V3)(implicit impl: Impl3[V1, V2, V3, VR]): VR

   

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   UFunc

6. final def apply[V1, V2, VR](v1: V1, v2: V2)(implicit impl: Impl2[V1, V2, VR]): VR

   

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   UFunc

7. final def apply[V, VR](v: V)(implicit impl: Impl[V, VR]): VR

   

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8. final def asInstanceOf[T0]: T0

   

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9. implicit def canZipMapValuesImpl[T, V1, VR, U](implicit handhold: ScalarOf[T, V1], impl: Impl2[V1, V1, VR], canZipMapValues: CanZipMapValues[T, V1, VR, U]): Impl2[T, T, U]

   

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   UFunc

10. def clone(): AnyRef

    

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

    

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12. def equals(arg0: Any): Boolean

    

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13. def finalize(): Unit

    

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

    

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15. def hashCode(): Int

    

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16. implicit object implOpSolveLowerTriPartitionedMatrixByMatrix extends breeze.linalg.operators.OpSolveMatrixBy.Impl2[LowerTriPartitionedMatrix, PartitionedMatrix, PartitionedMatrix]

    

17. implicit object implOpSolveLowerTriPartitionedMatrixByVector extends breeze.linalg.operators.OpSolveMatrixBy.Impl2[LowerTriPartitionedMatrix, PartitionedVector, PartitionedVector]

    

    Tail recursive linear solve: x = L \ y param X A lower triangular matrix (outputted by the bcholesky function) param y A partitioned vector param lAcc An accumulator storing the result block by block param acc A vector containing values to add into the result

18. implicit object implOpSolvePartitionedMatrixByMatrix extends breeze.linalg.operators.OpSolveMatrixBy.Impl2[PartitionedMatrix, PartitionedMatrix, PartitionedMatrix]

    

19. implicit object implOpSolvePartitionedMatrixByVector extends breeze.linalg.operators.OpSolveMatrixBy.Impl2[PartitionedMatrix, PartitionedVector, PartitionedVector]

    

20. implicit object implOpSolveUpperTriPartitionedMatrixByMatrix extends breeze.linalg.operators.OpSolveMatrixBy.Impl2[UpperTriPartitionedMatrix, PartitionedMatrix, PartitionedMatrix]

    

21. implicit object implOpSolveUpperTriPartitionedMatrixByVector extends breeze.linalg.operators.OpSolveMatrixBy.Impl2[UpperTriPartitionedMatrix, PartitionedVector, PartitionedVector]

    

22. final def inPlace[V, V2, V3](v: V, v2: V2, v3: V3)(implicit impl: breeze.generic.UFunc.InPlaceImpl3[PartitionedMatrixSolvers.this.type, V, V2, V3]): V

    

    Definition Classes

    UFunc

23. final def inPlace[V, V2](v: V, v2: V2)(implicit impl: breeze.generic.UFunc.InPlaceImpl2[PartitionedMatrixSolvers.this.type, V, V2]): V

    

    Definition Classes

    UFunc

24. final def inPlace[V](v: V)(implicit impl: breeze.generic.UFunc.InPlaceImpl[PartitionedMatrixSolvers.this.type, V]): V

    

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    UFunc

25. final def isInstanceOf[T0]: Boolean

    

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

    

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27. final def notify(): Unit

    

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28. final def notifyAll(): Unit

    

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29. def recLTriagMultiSolve(X: LowerTriPartitionedMatrix, y: PartitionedMatrix, lAcc: Stream[PartitionedMatrix], acc: PartitionedMatrix): PartitionedMatrix

    

    Tail recursive linear solve: X = L \ Y

    Tail recursive linear solve: X = L \ Y

    X

    A lower triangular matrix (outputted by the bcholesky function)

    y

    A partitioned matrix

    lAcc

    An accumulator storing the result block by block

    acc

    A matrix containing values to add into the result

30. def recLTriagSolve(X: LowerTriPartitionedMatrix, y: PartitionedVector, lAcc: Stream[PartitionedVector], acc: PartitionedVector): PartitionedVector

    

    Tail recursive linear solve: x = L \ y

    Tail recursive linear solve: x = L \ y

    X

    A lower triangular matrix (outputted by the bcholesky function)

    y

    A partitioned vector

    lAcc

    An accumulator storing the result block by block

    acc

    A vector containing values to add into the result

31. def recUTriagMultiSolve(X: UpperTriPartitionedMatrix, y: PartitionedMatrix, lAcc: Stream[PartitionedMatrix], acc: PartitionedMatrix): PartitionedMatrix

    

    Tail recursive linear solve: X = U \ Y

    Tail recursive linear solve: X = U \ Y

    X

    A lower triangular matrix (outputted by the bcholesky function)

    y

    A partitioned matrix

    lAcc

    An accumulator storing the result block by block

    acc

    A auxillary matrix containing historical values to add into the result

32. def recUTriagSolve(X: UpperTriPartitionedMatrix, y: PartitionedVector, lAcc: Stream[PartitionedVector], acc: PartitionedVector): PartitionedVector

    

    Tail recursive linear solve: x = U \ y

    Tail recursive linear solve: x = U \ y

    X

    An upper triangular matrix (transpose of matrix outputted by the bcholesky function)

    y

    A partitioned vector

    lAcc

    An accumulator storing the result block by block

    acc

    A auxilarry vector containing historical values to add into the result

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

    

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34. def toString(): String

    

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35. final def wait(): Unit

    

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

    

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

    

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38. final def withSink[S](s: S): WithSinkHelp[PartitionedMatrixSolvers.this.type, S]

    

    Definition Classes

    UFunc