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This is equivalent to pre-multiplying L by the diagonal matrix and solving the system:
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(61) |
The data-space preconditioner can be interpreted as an approximation
to a ``data covariance'' operator that is used to express the reliability
and the correlation of the data measurements. In iteratively
re-weighted least squares, it approximates a data variance measure that
can be estimated from the current residual ().
Next: Model-space preconditioning
Up: Inversion to common offset
Previous: Diagonal weighting preconditioning
Stanford Exploration Project
7/5/1998