(c) Vladimir Kazei and Oleg Ovcharenko (KAUST, 2019)

Standard L2 full-waveform inversion
||D(m)-D_obs||^2 + F_reg(m_0, m) is minimized
where D_obs is the observed data D(m) is the data modeled in the model m
m is current model
m_0 is the starting model F_reg is the regularizing functional

generic FWI implementation (misfit functional and gradient) is based on SimpleFWI by Tristan van Leeuwen LBFGS-B-C optimization implementation by Stephen Becker

We add regularizing functional equivalent to Sobolev space norm for F_reg = ||m||_W¹p.
Kazei et al., 2017 It can also be applied as a regularizing

We demonstrate an application of FWI to Marmousi II benchmark velocity model. We initiate inversion from a linear velocity model and search for updates of model parameters by L-BFGS.

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