object RandomVariableImplicits
Convenient method aliases for the interface net.finmath.stochastic.RandomVariable.
- See also
net.finmath.stochastic.RandomVariable
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- RandomVariableImplicits
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- implicit final class DoubleOps extends AnyVal
- implicit final class RandomVariableOps extends AnyVal
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- final def !=(arg0: Any): Boolean
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- 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()
- def expectation(value: RandomVariable): RandomVariable
The average (expectation) of a RandomVariable
The average (expectation) of a RandomVariable
Applies x -> x.average() to the argument and returns the result.
- value
The argument value.
- returns
The logarithm of the argument.
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- 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.
- def max(v: RandomVariable, value: RandomVariable): RandomVariable
- def max(v: RandomVariable, value: Double): RandomVariable
- def min(v: RandomVariable, value: RandomVariable): RandomVariable
- def min(v: RandomVariable, value: Double): RandomVariable
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(Since version ) see corresponding Javadoc for more information.