Optimization schemes for Full Waveform Inversion: the preconditioned truncated Newton method

In addition, the truncated Newton method offers the possibility of using the approxima- tions of the inverse Hessian operator which have been developed in the context of

In the first step the cost function is approximated (or rather weighted) by a Gauss-Newton type method, and in the second step the first order topological derivative of the weighted

The quality of a surface is assessed through a functional which is optimized; the specificity of the approach is to separate the optimization on the parametric space (performed with

In this contribution we use methods of optimal control theory to compute the optimal step length of the Newton method on the class of self-concordant functions, as a function of

Figure 5: Convergence speed for near-surface application test case: steepest descent (red), l-BFGS (green), Gauss-Newton (blue), Newton (purple).. Figure 6: Near-surface test

Full Waveform Inversion is a seismic imaging method dedicated to the computation of high resolu- tion quantitative estimates of subsurface parameters such as pressure wave

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