SEISCOPE
The SEISCOPE optimization toolbox: A large-scale nonlinear optimization library based on reverse communication. The SEISCOPE optimization toolbox is a set of FORTRAN 90 routines, which implement first-order methods (steepest-descent and nonlinear conjugate gradient) and second-order methods. (l-BFGS and truncated Newton), for the solution of large-scale nonlinear optimization problems. An efficient line-search strategy ensures the robustness of these implementations. The routines are proposed as black boxes easy to interface with any computational code, where such large-scale minimization problems have to be solved. Traveltime tomography, least-squares migration, or full-waveform inversion are examples of such problems in the context of geophysics. Integrating the toolbox for solving this class of problems presents two advantages. First, it helps to separate the routines depending on the physics of the problem from the ones related to the minimization itself, thanks to the reverse communication protocol. This enhances flexibility in code development and maintenance. Second, it allows us to switch easily between different optimization algorithms. In particular, it reduces the complexity related to the implementation of second-order methods. Because the latter benefit from faster convergence rates compared to first-order methods, significant improvements in terms of computational efforts can be expected.
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References in zbMATH (referenced in 6 articles )
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Sorted by year (- Fu, Hongsun; Qi, Hongyu; Hua, Ran: Combining adaptive dictionary learning with nonlocal similarity for full-waveform inversion (2021)
- Métivier, Ludovic; Brossier, R.; Mérigot, Q.; Oudet, E.: A graph space optimal transport distance as a generalization of (L^p) distances: application to a seismic imaging inverse problem (2019)
- Yang, Pengliang; Brossier, Romain; Métivier, Ludovic; Virieux, Jean; Zhou, Wei: A time-domain preconditioned truncated Newton approach to visco-acoustic multiparameter full waveform inversion (2018)
- Métivier, L.; Brossier, R.; Operto, S.; Virieux, J.: Full waveform inversion and the truncated Newton method (2017)
- Zhang, Jie: Fast retrieval algorithm of feature information in database (2017)
- Métivier, L.; Brossier, R.; Mérigot, Q.; Oudet, E.; Virieux, J.: An optimal transport approach for seismic tomography: application to 3D full waveform inversion (2016)