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- Integer Programming and Combinatorial Optimization: 27th International Conference, IPCO 2026, Padua, Italy, June 17–19, 2026, Proceedings (Lecture Notes in Computer Science, 16588)
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229921314
Integer Programming and Combinatorial Optimization: 27th International Conference, IPCO 2026, Padua, Italy, June 17–19, 2026, Proceedings (Lecture
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229921314
ARS 510993
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- This book constitutes the refereed proceedings of the 27th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2026, held in Padova, Italy, during June 17-19, 2026. The 33 full papers included in this book were carefully reviewed and selected from 113 submissions. The IPCO conference is held under the auspices of the Mathematical OptimizationSociety. It brings together researchers and practitioners working on a broad range of topics in integer programming and combinatorial optimization, and has become a premier forum for presenting recent advances in theory, computation, and applications. Daha fazla göster
| Yayıncı | Springer |
| Yayınlanma Tarihi | 13 Haziran 2026 |
| Dil | İngilizce |
| ISBN-10 | 3032286905 |
| ISBN-13 | 978-3032286901 |
| Boyutlar | 15.49 x 3.07 x 23.5 cm |
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Integer Programming and Combinatorial Optimization: 27th International Conference, IPCO 2026, Padua, Italy, June 17–19, 2026, Proceedings (Lecture Notes in Computer Science, 16588)
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İngilizce Baskı Format: Kağıt Kapak Editorial Review
Integer Programming and Combinatorial Optimization: 27th International Conference IPCO 2026 Padua Italy June 17–19 2026 Proceedings Lecture Notes in Computer Science 16588 is an essential publication for researchers and practitioners in the field. Published by Springer on June 13, 2026, this work combines crucial advances in integer programming and combinatorial optimization, encapsulated in a format that is accessible and comprehensive. The book, measuring 15.49 x 3.07 x 23.5 cm, contains significant findings presented during the conference, making it a valuable reference for ongoing research and studies within this vibrant area of computer science.
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Pros
- Contributions from leading experts in optimization
- Focus on contemporary research topics
- Well-structured proceedings for ease of navigation
- Includes recent advancements in combinatorial methods
- Essential reference for academics and practitioners
Cons
- May contain highly technical content for some readers
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