- We will send in 10–14 business days.
/images/books/14950344/9781789451948.jpg)
- Author: Gerard-Michel Cochard
- Publisher: Wiley-ISTE
- ISBN-10: 1789451949
- ISBN-13: 9781789451948
- Format: 15.6 x 23.4 x 2.1 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 22d.20:40:18
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Gerard-Michel Cochard
- Publisher: Wiley-ISTE
- ISBN-10: 1789451949
- ISBN-13: 9781789451948
- Format: 15.6 x 23.4 x 2.1 cm, kieti viršeliai
- Language: English English
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.
Reviews