Optimization, Discrete Mathematics and Applications to Data Sciences

This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences. Through a collection of high-quality papers, readers will gain insights into cutting-edge research and methodologies that address comp...

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Detalles Bibliográficos

Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Nikeghbali, Ashkan (Editor), Pardalos, Panos M. (Editor), Rassias, Michael Th (Editor)
Formato:	Electrónico eBook
Lenguaje:	inglés
Publicado:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edición:	1st ed. 2025.
Colección:	Springer Optimization and Its Applications, 220
Materias:	Mathematical optimization. Discrete mathematics. Number theory. System theory. Control theory. Convex geometry . Discrete geometry. Optimization. Discrete Mathematics. Number Theory. Systems Theory, Control. Convex and Discrete Geometry.
Acceso en línea:	https://doi.org/10.1007/978-3-031-78369-2
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