MatrixOp

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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 asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. def mulMatrixByColumnDouble(a: Array[Double], x: Array[Double], nRows: Int, nColumns: Int): Array[Double]

    

    Multiply a matrix by a column vector: y = a*x

    Multiply a matrix by a column vector: y = a*x

    a

    An Array which is logically a matrix, modeled as concatenated rows

    x

    An input vector of size nColumns, which is logically a column

    nRows

    Number of logical rows in matrix a

    nColumns

    Number of logical columns in matrix a

    returns

    The result y = a*x; logically a column vector of size nRows.

13. def mulMatrixByColumnFloat(a: Array[Float], x: Array[Float], nRows: Int, nColumns: Int): Array[Float]

    

    Multiply a matrix by a column vector: y = a*x

    Multiply a matrix by a column vector: y = a*x

    a

    An Array which is logically a matrix, modeled as concatenated rows

    x

    An input vector of size nColumns, which is logically a column

    nRows

    Number of logical rows in matrix a

    nColumns

    Number of logical columns in matrix a

    returns

    The result y = a*x; logically a column vector of size nRows.

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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

    

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18. def toString(): String

    

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19. final def wait(): Unit

    

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

    

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

    

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