Object

org.apache.flink.ml.math

BLAS

Related Doc: package math

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object BLAS extends Serializable

BLAS routines for vectors and matrices.

Original code from the Apache Spark project: http://git.io/vfZUe

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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 axpy(a: Double, x: Vector, y: Vector): Unit

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    y += a * x

  6. def clone(): AnyRef

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  7. def copy(x: Vector, y: Vector): Unit

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    y = x

  8. def dot(x: Vector, y: Vector): Double

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    dot(x, y)

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def scal(a: Double, x: Vector): Unit

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    x = a * x

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

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  20. def syr(alpha: Double, x: Vector, A: DenseMatrix): Unit

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    A := alpha * x * xT + A

    A := alpha * x * xT + A

    alpha

    a real scalar that will be multiplied to x * xT.

    x

    the vector x that contains the n elements.

    A

    the symmetric matrix A. Size of n x n.

  21. def toString(): String

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  22. final def wait(): Unit

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

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

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