Go to the source code of this file.
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| module | mar |
| | Multidimensional Autoregressive module to generate the correlation for the WL parameterization.
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| real(kind=8), dimension(:,:), allocatable, public | mar::q |
| | Square root of the noise covariance matrix. More...
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| real(kind=8), dimension(:,:), allocatable, public | mar::qred |
| | Reduce version of Q. More...
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| real(kind=8), dimension(:,:), allocatable, public | mar::rred |
| | Covariance matrix of the noise. More...
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| real(kind=8), dimension(:,:,:), allocatable, public | mar::w |
| | W_i matrix. More...
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| real(kind=8), dimension(:,:,:), allocatable, public | mar::wred |
| | Reduce W_i matrix. More...
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| real(kind=8), dimension(:), allocatable | mar::buf_y |
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| real(kind=8), dimension(:), allocatable | mar::dw |
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| integer, public | mar::ms |
| | order of the MAR More...
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