most citedRandom sketching of operators with application to learning preconditioners

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math.NA2026

Data-driven material identification in micromorphic continua

Jacinto Ulloa, Laurent Stainier

We introduce a data-driven framework for identifying material behavior from full-field kinematics and external force measurements in generalized (micromorphic) continua. The aim is…

math.NA2026★ 2 cited

Random sketching of operators with application to learning preconditioners

Oleg Balabanov, Anthony Nouy, Alexandre Pasco

We propose a new random sketching approach for embedding high-dimensional Hilbert-Schmidt operators, using random input-output pairs. Such operator can then be approximated in a lo…