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Summing up the ideas above,
we start from fitting goals
| |
(8) |

and we change variables from
to using
| |
(9) |

Preconditioning means iteratively fitting
by adjusting the variables
and then finding the model by using
.A new reusable
preconditioned solver is
the module `solver_prc` .
Likewise the modeling operator is called `Fop`
and the smoothing operator is called `Sop`.
Details of the code are only slightly different from
the regularized solver
`solver_reg` .
solver_prcPreconditioned solver

** Next:** OPPORTUNITIES FOR SMART DIRECTIONS
** Up:** PRECONDITIONING THE REGULARIZATION
** Previous:** Statistical interpretation
Stanford Exploration Project

4/27/2004