ben@sep.stanford.edu

## ABSTRACTHere an interior point inversion method is presented that solve a least squares problem with regularization. Velocity inversion can benefit from regularization because the sparse solution creates blocky velocity models. This is often more geologically accurate than smooth models. In this paper an efficient method is present for solving regularized least squares problems. Its usefulness is shown through comparisons of previous methods on an example using a least squares formulation for Dix inversion. |

- Introduction
- The Method
- Synthetic Example
- Real Data Example
- Conclusions and Future Work
- Acknowledgments
- REFERENCES
- About this document ...

5/6/2007