Analysis of the SQP Method for Hyperbolic PDE-Constrained Optimization in Acoustic Full Waveform Inversion
In this paper, the SQP method applied to a hyperbolic PDE-constrained optimization problem is considered. The model arises from the acoustic full waveform inversion in the time domain. The analysis is mainly challenging due to the involved hyperbolicity and second-order bilinear structure. This notorious character leads to an undesired effect of loss of regularity in the SQP method, calling for a substantial extension of developed parabolic techniques. We propose and analyze a novel strategy for the well-posedness and convergence analysis based on the use of a smooth-in-time initial condition, a tailored self-mapping operator, and a two-step estimation process along with Stampacchia's method for second-order wave equations. Our final theoretical result is the R-superlinear convergence of the SQP method.
Authors
- Irwin Yousept (ORCID: https://orcid.org/0000-0001-7315-501X)
- Luis Ammann
Institutions
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- SIAM Journal on Control and Optimization
- Published
- 2026-05-12
- DOI
- https://doi.org/10.1137/25m1722822
- Primary Topic
- Image and Signal Denoising Methods
- Type
- preprint
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Universidad de Oviedo
- Julius-Maximilians-Universität Würzburg