Mathematics for digital science 3 : data analysis and optimization /
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'...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London, UK : Hoboken, NJ :
ISTE Ltd. ; John Wiley & Sons, Inc.,
2025.
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| Series: | Sciences. Computer science. Operational research and decision
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource. |
| ISBN: | 9781394388547 1394388543 9781394388523 1394388527 |