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PETScML: Second-order solvers for training regression problems in Scientific Machine Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Zampini, Stefano, Zerbinati, Umberto, Turkiyyah, George, Keyes, David
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Mathematical Software Optimization and Control 65K10, 68T07, 65M70, 65Y05 I.2.5; D.2.m; G.4; G.1.6; J.2
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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