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Kniha A Practical Guide to Optimization in Engineering and Data Science Gilberto Reynoso Meza

A Practical Guide to Optimization in Engineering and Data Science

Autor: Gilberto Reynoso Meza
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer-Verlag GmbH
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
3 347 Kč
This book offers a hands-on and comprehensive guide to optimization techniques tailored for data sci...

Informace o knize

Autor
Gilberto Reynoso Meza
Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2026
Stránek
338
EAN
9783032046321
ISBN
3032046327
Enbook ID
49343167
Vydavatel
Springer-Verlag GmbH
Hmotnost
613

Kompletní popis

This book offers a hands-on and comprehensive guide to optimization techniques tailored for data scientists and engineers, combining theoretical foundations with practical applications. It begins by demystifying core concepts and types of optimization, then explores their relevance across engineering and data science domains. Readers are introduced to essential mathematical tools, single- and multi-objective optimization methods, and a wide range of algorithms including gradient-based techniques, evolutionary strategies, and swarm intelligence. The book also lists real-world applications across industries and provides several Python-based examples, enabling readers to implement and experiment with optimization models in practice. With its structured approach and rich set of examples, this book serves as a valuable resource for professionals and researchers seeking to apply optimization effectively in their work.

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