myDefautModel = class=ExponentialCauchy derived from class= SecondOrderModelImplementation covariance model=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spectral model=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
myModel = class=ExponentialCauchy derived from class= SecondOrderModelImplementation covariance model=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spectral model=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
spectral density matrix at f = 1 : class=HermitianMatrix dimension=1 implementation=class=ComplexMatrixImplementation name=Unnamed rows=1 columns=1 values=[(0.049409,0)]
spectral density matrix at f = -1 : class=HermitianMatrix dimension=1 implementation=class=ComplexMatrixImplementation name=Unnamed rows=1 columns=1 values=[(0.049409,0)]
spectral density matrix at f = 4 : class=HermitianMatrix dimension=1 implementation=class=ComplexMatrixImplementation name=Unnamed rows=1 columns=1 values=[(0.00316128,0)]
spectral density matrix at f = -4 : class=HermitianMatrix dimension=1 implementation=class=ComplexMatrixImplementation name=Unnamed rows=1 columns=1 values=[(0.00316128,0)]
covariance matrix at t = 1 : class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879]
covariance matrix at t = -1 : class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879]
covariance matrix at t = 4 : class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0183156]
discretized covariance over the time grid=class=RegularGrid name=Unnamed start=0 step=0.333333 n=4 is
class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0.716531,0.513417,0.367879,0.716531,1,0.716531,0.513417,0.513417,0.716531,1,0.716531,0.367879,0.513417,0.716531,1]
