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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: 49343167
Price: 173.59 EUR
Availability: InStock
Author: Gilberto Reynoso Meza
ISBN: 9783032046321

Gilberto Reynoso Meza

Lingua

Inglese

Libro Rigido

Codice Libristo: 49343167

Casa editrice Springer-Verlag GmbH, febbraio 2026

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

Codice Libristo: 49343167

425 b

173.59 €

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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.