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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