Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models

Nicole Aretz, Karen Willcox

This paper presents a data-driven, nested Operator Inference (OpInf) approach for learning physics-informed reduced-order models (ROMs) from snapshot data of high-dimensional dynam…