math.NA · 2026-06-11 · No. 20
Numerical Analysis, 2026-06-11.
1 new papers in math.NA. Titles, authors,
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01 — The papers
1 entries-
01
Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems
Zhen Zhang, Alessandro Alla, George Em Karniadakis
math.NA · cs.LG
Inverse problems governed by partial differential equations (PDEs) are central to computational mechanics and are commonly solved by adjoint-based optimization, while physics-informed neural networks (PINNs) have emerged as a flexible alternative. Their relative performance remains difficult to assess because the two approaches are often compared under different formulations, parameterizations, optimizers, and regularization choices. We...
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