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Total Size:
13.0 MB
Info Hash:
06DC24F662FF019748363AF647E1D4BAB0D197D3
Added By:
Added:
March 1, 2026, 8:59 a.m.
Stats:
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(Last updated: March 1, 2026, 9:01 a.m.)
| File | Size |
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| Monteiro W. A Practical Guide to Optimization in Engineering...Data Science 2026.pdf | 13.0 MB |
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| Uploaded by Nanotsumaya | Size 279.1 MB | Health [ 13 /42 ] | Added 2026-06-03 |
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| Uploaded by Biplab220 | Size 280.9 MB | Health [ 12 /0 ] | Added 2023-07-02 |
NOTE
SOURCE: Monteiro W. A Practical Guide to Optimization in Engineering...Data Science 2026
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COVER
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MEDIAINFO
Textbook in PDF format
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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