grid_tools
1.10.0
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Private Member Functions | |
subroutine | get_qx (j0, v1, v2, v3, v4) |
From a jacobian matrix, j0, get a sufficient set of v. More... | |
subroutine | get_qxd (j0, j0d, v1, v2, v3, v4, v1d, v2d, v3d, v4d) |
From a jacobian matrix, j0, and its derivative, j0d, get a sufficient set of v. More... | |
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private |
From a jacobian matrix, j0, get a sufficient set of v.
. diagnostics such that, from averages of these v, we can later compute the collective variance of Q(lam) that they imply for any choice of the "lambda" parameter, lam. Note that v1 and v4 are quadratic diagnostics of EL, while v2 and v3 are linear.
[in] | j0 | jacobian matrix |
[out] | v1 | quadratic diagnostics of EL |
[out] | v2 | linear diagnostics of EL |
[out] | v3 | linear diagnostics of EL |
[out] | v4 | quadratic diagnostics of EL |
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private |
From a jacobian matrix, j0, and its derivative, j0d, get a sufficient set of v.
. diagnostics such that, from average of these diagnostics, we can later compute the collective variance of Q and its derivative.
[in] | j0 | jacobian matrix |
[in] | j0d | derivative of j0 |
[in] | v1 | |
[in] | v2 | |
[in] | v3 | |
[in] | v4 | |
[in] | v1d | |
[in] | v2d | |
[in] | v3d | |
[in] | v4d |