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Analysis of the SQP Method for Acoustic Waveform Inversion

Paper Authors:

Luis Ammann,

Irwin Yousept

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Key Details

Proposes novel analysis strategy for SQP in hyperbolic PDE-constrained optimization

Uses smooth-in-time condition to ensure SQP well-posedness

Constructs tailored self-mapping operator and applies contraction principle

Performs two-step estimation process with Stampacchia's method

Proves R-superlinear convergence result for SQP method

AI generated summary

Analysis of the SQP Method for Acoustic Waveform Inversion

This paper analyzes the Sequential Quadratic Programming (SQP) method for an acoustic full waveform inversion problem in the time domain. The analysis is challenging due to hyperbolicity and second-order bilinear structure leading to loss of regularity in SQP. A novel strategy is proposed using a smooth-in-time condition, tailored self-mapping operator, and two-step estimation with Stampacchia's method to prove R-superlinear convergence of SQP.

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