Package org.ojalgo.random.process
package org.ojalgo.random.process
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ClassDescriptionAbstractProcess<D extends Distribution>GaussianField<K extends Comparable<? super K>>This GaussianField class is a generalization, as well as the underlying implementation, of GaussianProcess.GaussianField.Covariance<K extends Comparable<? super K>>GaussianField.Mean<K extends Comparable<? super K>>A Gaussian process is a
RandomProcess
where each variable has a normal distribution.Diffusion process defined by a stochastic differential equation:MultipleValuesBasedProcess<D extends Distribution>A Poisson process is a stochastic process which counts the number of events in a given time interval.Process1D<P extends Process1D.ComponentProcess<?>>Drive a set of processes simultaneously – correlated or uncorrelated.Process1D.ComponentProcess<D extends Distribution>RandomField<T>A random field is a generalization of a stochastic process such that the underlying parameter need no longer be a simple real or integer valued "time", but can instead take values that are multidimensional vectors, or points on some manifold.RandomProcess<D extends Distribution>A random/stochastic process (a series of random variables indexed by time or space) representing the evolution of some random value.SingleValueBasedProcess<D extends Distribution>Process with fixed mean and (possibly) fluctuating variance given by aScedasticityModel
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