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object Linear extends Serializable

Linear Supertypes
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  1. final def !=(arg0: Any): Boolean
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  9. final def getClass(): Class[_ <: AnyRef]
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  10. def hashCode(): Int
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  11. final def isInstanceOf[T0]: Boolean
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  12. final def ne(arg0: AnyRef): Boolean
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  14. final def notifyAll(): Unit
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  15. def offDiagonal(nDim: Int, magnitude: Double = 1.0): Linear

    Generate a linear function that has a gradient proportional to the one-vector, scaled to the requested magnitude

    Generate a linear function that has a gradient proportional to the one-vector, scaled to the requested magnitude

    nDim

    dimension of the function, which is the length of the gradient

    magnitude

    of the gradient (default: 1)

    returns

    linear function with specified gradient magnitude that points in the (1, 1, ...) direction

  16. def randomDirection(nDim: Int, magnitude: Double = 1.0, rng: Random = Random): Linear

    Generate a linear function in a random direction

    Generate a linear function in a random direction

    nDim

    dimension of the function, which is the length of the gradient

    magnitude

    of the gradient (default: 1)

    returns

    linear function with specified gradient magnitude in a random direction

  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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    @throws(classOf[java.lang.InterruptedException])
  20. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  21. final def wait(arg0: Long): Unit
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