Package org.ojalgo.random.process

Interface Summary

Interface	Description
GaussianField.Covariance<K extends Comparable<? super K>>
GaussianField.Mean<K extends Comparable<? super K>>
RandomProcess<D extends Distribution>	A random/stochastic process is a collection of random variables representing the evolution of some random value over "time".

Class Summary

Class	Description
GaussianField<K extends Comparable<? super K>>	A Gaussian process is a stochastic process whose realizations consist of random values associated with every point in a range of times (or of space) such that each such random variable has a normal distribution.
GaussianProcess	A Gaussian process is a stochastic process whose realizations consist of random values associated with every point in a range of times (or of space) such that each such random variable has a normal distribution.
GeometricBrownian1D
GeometricBrownianMotion	Diffusion process defined by a stochastic differential equation:
PoissonProcess	A Poisson process is a stochastic process which counts the number of events in a given time interval.
RandomProcess.SimulationResults
Wiener1D
WienerProcess