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myDefautModel = ExponentialModel(input dimension=1, amplitude=[1], scale=[1], no spatial correlation)
myModel = ExponentialModel(input dimension=1, amplitude=[1], scale=[1], no spatial correlation)
covariance matrix at t = 1.0 : [[ 0.367879 ]]
covariance matrix at t = -1.0 : [[ 0.367879 ]]
covariance matrix at t = 15.0 : [[ 3.05902e-07 ]]
discretized covariance over the time grid= RegularGrid(start=0, step=0.333333, n=4) is= [[ 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 ]]
mySecondOrderModel = class= StationaryCovarianceModel
myHighModel = ExponentialModel(input dimension=1, amplitude=[1,2,3], scale=[1], spatial correlation=
[[ 1 1 0 ]
[ 1 1 0.25 ]
[ 0 0.25 1 ]])
covariance matrix at t = 1.0 : [[ 0.367879 0.735759 0 ]
[ 0.735759 1.47152 0.551819 ]
[ 0 0.551819 3.31091 ]]
covariance matrix at t = -1.0 : [[ 0.367879 0.735759 0 ]
[ 0.735759 1.47152 0.551819 ]
[ 0 0.551819 3.31091 ]]
covariance matrix at t = 15.0 : [[ 3.05902e-07 6.11805e-07 0 ]
[ 6.11805e-07 1.22361e-06 4.58853e-07 ]
[ 0 4.58853e-07 2.75312e-06 ]]
discretized covariance over the time grid= RegularGrid(start=0, step=0.333333, n=4) is= 12x12
[[ 1 2 0 0.716531 1.43306 0 0.513417 1.02683 0 0.367879 0.735759 0 ]
[ 2 4 1.5 1.43306 2.86613 1.0748 1.02683 2.05367 0.770126 0.735759 1.47152 0.551819 ]
[ 0 1.5 9 0 1.0748 6.44878 0 0.770126 4.62075 0 0.551819 3.31091 ]
[ 0.716531 1.43306 0 1 2 0 0.716531 1.43306 0 0.513417 1.02683 0 ]
[ 1.43306 2.86613 1.0748 2 4 1.5 1.43306 2.86613 1.0748 1.02683 2.05367 0.770126 ]
[ 0 1.0748 6.44878 0 1.5 9 0 1.0748 6.44878 0 0.770126 4.62075 ]
[ 0.513417 1.02683 0 0.716531 1.43306 0 1 2 0 0.716531 1.43306 0 ]
[ 1.02683 2.05367 0.770126 1.43306 2.86613 1.0748 2 4 1.5 1.43306 2.86613 1.0748 ]
[ 0 0.770126 4.62075 0 1.0748 6.44878 0 1.5 9 0 1.0748 6.44878 ]
[ 0.367879 0.735759 0 0.513417 1.02683 0 0.716531 1.43306 0 1 2 0 ]
[ 0.735759 1.47152 0.551819 1.02683 2.05367 0.770126 1.43306 2.86613 1.0748 2 4 1.5 ]
[ 0 0.551819 3.31091 0 0.770126 4.62075 0 1.0748 6.44878 0 1.5 9 ]]
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