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net.finmath.scala.stochastic

RandomVariableImplicits

object RandomVariableImplicits

Convenient method aliases for the interface net.finmath.stochastic.RandomVariable.

See also

net.finmath.stochastic.RandomVariable

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Type Members

  1. implicit final class DoubleOps extends AnyVal
  2. implicit final class RandomVariableOps extends AnyVal

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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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
    Attributes
    protected[java.lang]
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    @HotSpotIntrinsicCandidate() @throws( ... )
  6. def covariance(x: RandomVariable, y: RandomVariable): RandomVariable

    The covariance of two RandomVariable-s

    The covariance of two RandomVariable-s

    Applies x -> x.covariance(y) to the argument and returns the result.

    x

    The argument value x.

    y

    The argument value y.

    returns

    The covariance of the argument.

  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  8. def equals(arg0: Any): Boolean
    Definition Classes
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  9. def exp(value: RandomVariable): RandomVariable

    Exponential of a RandomVariable

    Exponential of a RandomVariable

    Applies x -> x.exp() to the argument and returns the result.

    value

    The argument value.

    returns

    The exponential of the argument.

    See also

    net.finmath.stochastic.RandomVariable#exp()

  10. def expectation(value: RandomVariable): RandomVariable

    The expectation (average) of a RandomVariable

    The expectation (average) of a RandomVariable

    Applies x -> x.expectation() to the argument and returns the result.

    value

    The argument value.

    returns

    The expectation of the argument.

  11. final def getClass(): Class[_]
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    @HotSpotIntrinsicCandidate()
  12. def hashCode(): Int
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    @HotSpotIntrinsicCandidate()
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  14. def log(value: RandomVariable): RandomVariable

    Logarithm (base e) of a RandomVariable

    Logarithm (base e) of a RandomVariable

    Applies x -> x.log() to the argument and returns the result.

    value

    The argument value.

    returns

    The logarithm of the argument.

  15. def max(left: RandomVariable, right: RandomVariable): RandomVariable

    The maximum of two RandomVariable-s

    The maximum of two RandomVariable-s

    Applies x -> x.floor(y) to the argument and returns the result.

    left

    The argument value x.

    right

    The argument value y.

    returns

    The random variable consisting of the pathwise maximum of the arguments.

  16. def max(left: RandomVariable, right: Double): RandomVariable

    The maximum of a RandomVariable and a Double

    The maximum of a RandomVariable and a Double

    Applies x -> x.floor(y) to the argument and returns the result.

    left

    The argument value x.

    right

    The argument value y.

    returns

    The random variable consisting of the pathwise maximum of the arguments.

  17. def min(left: RandomVariable, right: RandomVariable): RandomVariable

    The minimum of two RandomVariable-s

    The minimum of two RandomVariable-s

    Applies x -> x.cap(y) to the argument and returns the result.

    left

    The argument value x.

    right

    The argument value y.

    returns

    The random variable consisting of the pathwise minimum of the arguments.

  18. def min(left: RandomVariable, right: Double): RandomVariable

    The minimum of a RandomVariable and a Double

    The minimum of a RandomVariable and a Double

    Applies x -> x.cap(y) to the argument and returns the result.

    left

    The argument value x.

    right

    The argument value y.

    returns

    The random variable consisting of the pathwise minimum of the arguments.

  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  20. final def notify(): Unit
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    @HotSpotIntrinsicCandidate()
  21. final def notifyAll(): Unit
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    @HotSpotIntrinsicCandidate()
  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. def toString(): String
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  24. def variance(value: RandomVariable): RandomVariable

    The variance of a RandomVariable

    The variance of a RandomVariable

    Applies x -> x.variance() to the argument and returns the result.

    value

    The argument value.

    returns

    The variance of the argument.

  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  26. final def wait(arg0: Long): Unit
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    @throws( ... )
  27. final def wait(): Unit
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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
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    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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