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A Practical Guide to Optimization in Engineering and Data Science

Name: A Practical Guide to Optimization in Engineering and Data Science
Brand: Springer-Verlag GmbH
SKU: 9783032046321
Price: 809.06 RON
Availability: InStock

Autor: Gilberto Reynoso Meza

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Legare: Copertă tare

Editura: Springer-Verlag GmbH

Disponibilitate: În depozitul extern

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This book offers a hands-on and comprehensive guide to optimization techniques tailored for data sci...

Informații despre carte

Autor

Gilberto Reynoso Meza

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2026

Pagini

338

EAN

9783032046321

ISBN

3032046327

Enbook ID

49343167

Editura

Springer-Verlag GmbH

Greutate

613

Descriere completă

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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A Practical Guide to Optimization in Engineering and Data Science

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