next up previous print clean
Next: Appendix: Working with the Up: Symes: Extremal regularization Previous: Acknowledgement


Björk, A., 1997, Numerical methods for least squares problems: Society for Industrial and Applied Mathematics, Philadelphia.

Claerbout, J. F., 1992, Earth sounding analysis: Processing versus inversion: Blackwell, Boston.

Claerbout, J., S/n segregation: The best ratio between data fitting and model regularization: Gain control:, Technical report, Stanford Exploration Project, 1998.

DennisJr., J., and Schnabel, R., 1983, Numerical methods for unconstrained optimization and nonlinear equations: Prentice-Hall, Englewood Cliffs.

Gockenbach, M., and Symes, W. W., 1997, Duality for inverse problems in wave propagation in Biegler, L., Coleman, T., Santosa, F., and Conn, A., Eds., Large Scale Optimization:: Springer Verlag.

Hebden, M. D., An algorithm for minimization using exact second derivatives:, Technical Report TP515, A.E.R.E., Harwell, 1973.

Jackson, D. D., 1973, Marginal solutions to quasi-linear inverse problems in geophysics: the edgehog method: Geophysical Journal of the Royal Astronomical Society, 35, 121-136.

Jackson, D. D., 1976, Most squares inversion: J. Geophys. Research, 81, 1027-1030.

Jackson, D. D., 1979, The use of a priori data to resolve nonuniqueness in linear inversion: Geophysical Journal of the Royal Astronomical Society, 57, 137-157.

Moré, J. J., 1977, The levenberg-marquardt algorithm: implementation and theory in Watson, G. A., Ed., Numerical Analysis:: Springer-Verlag, 630 ff.

Stanford Exploration Project