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Universal Approximation of Nonlinear Operators and Their Derivatives

Fuente: arXiv

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Bibliographic Details
Main Author:	de Feo, Filippo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Numerical Analysis Functional Analysis Optimization and Control
Online Access:	Acceder al recurso
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