IntegratedWienerProcesses
Documentation for IntegratedWienerProcesses.
IntegratedWienerProcesses.ReverseTaylorIntegratedWienerProcesses.dimIntegratedWienerProcesses.ndiffIntegratedWienerProcesses.ssparamsIntegratedWienerProcesses.state2diff_matrixIntegratedWienerProcesses.transition_covIntegratedWienerProcesses.transition_cov_cholfIntegratedWienerProcesses.transition_matrix
IntegratedWienerProcesses.ReverseTaylor — TypeReverseTaylorType for representing state-space realizations in terms of Taylor coefficients in reverse order. That is the state-vector is of the form:
x = [D^n y, D^(n-1)y, ..., Dy, y]IntegratedWienerProcesses.dim — Methoddim(M::IWP)Computes the number of dimensions of M.
IntegratedWienerProcesses.ndiff — Methodndiff(M::IWP)Computes the number of times M is differentiable.
IntegratedWienerProcesses.ssparams — Methodssparams(model::IWP{T}, method::AbstractRealizationMethod) where {T}Computes the state-space matrices A, B, C for model model using realization method method.
IntegratedWienerProcesses.state2diff_matrix — Methodstate2diff_matrix(model::IWP{T}, m::Integer, method::AbstractRealizationMethod) where {T}Computes the matrix Em such that Dy = Em * x, where x is the state vector associated with realization method method.
IntegratedWienerProcesses.transition_cov — Methodtransition_cov(model::IWP{T}, dt::T, method::AbstractRealizationMethod) where {T}Computes the transition covariance of the model model, with step-size dt, using realization method method.
IntegratedWienerProcesses.transition_cov_cholf — Methodtransition_cov_cholf(model::IWP{T}, dt::T, method::AbstractRealizationMethod) where {T}Computes a left cholesky factor of the transition covariance of the model model, with step-size dt, using realization method method.
IntegratedWienerProcesses.transition_matrix — Methodtransition_matrix(model::IWP{T}, dt::Real, method::AbstractRealizationMethod) where {T}Computes the transition matrix of model model, using step-size dt, and realization method method.