Mathematics for Digital Science 3

Data Analysis and Optimization de

,

Éditeur :

Wiley-ISTE


Collection :

ISTE Invoiced

Paru le : 2025-06-11

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Description

Over the past century, advancements in computer science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathematical foundation. To succeed in this profession, both today's students and tomorrow’s computer engineers need a solid mathematical background.
The goal of this book series is to offer a solid foundation of the knowledge essential to working in the digital sector. Across three volumes, it explores fundamental principles, digital information, data analysis, and optimization. Whether the reader is pursuing initial training or looking to deepen their expertise, the Mathematics for Digital Science series revisits familiar concepts, helping them refresh and expand their knowledge while also introducing equally essential, newer topics.
Pages
336 pages
Collection
ISTE Invoiced
Parution
2025-06-11
Marque
Wiley-ISTE
EAN papier
9781789451962
EAN PDF
9781394388523

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
17551 Ko
Prix
167,11 €
EAN EPUB
9781394388530

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
30556 Ko
Prix
167,11 €