#gauss-newton optimization
topicgauss-newton optimization
2 papers · 1 filter
quant-ph2026
Calibrated Pressure-Observable Born and Hessian Actions for Quantum-Assisted Waveform Inversion
Guanyu Li, Jiwei Jia, Yu Wang +1
The paper proposes a quantum‑assisted framework for acoustic full‑waveform inversion that builds a pressure‑consistent operator and readout scheme to compute Born, adjoint, and Gau…
math.NA2026
Tensor-Based Reduced-Order Modeling for Optimization-Based Inverse Problems
Sahidul Islam, Andreas Mang, Maxim Olshanskii
The paper introduces a tensor-train based reduced-order modeling framework that directly approximates the parameter-to-observation map for optimization-based inverse problems, enab…