Analysis of the SQP Method for Hyperbolic PDE-Constrained Optimization in Acoustic Full Waveform Inversion

Luis Ammann, Irwin Yousept
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Abstract

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.
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声学全波形反演中双曲 PDE 受限优化的 SQP 方法分析
本文考虑将 SQP 方法应用于双曲 PDE 受限优化问题。该模型源于时域声全波形反演。由于涉及双曲性和二阶双线性结构,分析具有很大的挑战性。这一显著特点导致了 SQP 方法失去规则性的不良后果,要求对已开发的抛物线技术进行大幅扩展。我们提出并分析了一种新的策略,即基于二阶波方程的平滑时间初始条件、定制自映射算子和两步估计过程,以及 Stampacchia 方法,进行良好假设性和收敛性分析。我们的最终理论结果是 SQP 方法的 R 超线性收敛。
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