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

A Practical Guide to Optimization in Engineering and Data Science

Автор: Gilberto Reynoso Meza
Език: Английски език
Корици: С твърди корици
Издател: Springer-Verlag GmbH
Наличност: Външен склад
Изпращаме след 10-13 дни
154.76 302.68 лв
This book offers a hands-on and comprehensive guide to optimization techniques tailored for data sci...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2026
страници
338
EAN
9783032046321
ISBN
3032046327
Enbook ID
49343167
Издател
Теглоt
613

Пълно описание

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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