works on
Gauss-Newton optimization 1inverse problems 1parameter estimation 1reduced-order modeling 1tensor-train decomposition 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

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…