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Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization (Classic Reprint) - Couverture souple
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The digital edition of all books may be viewed on our website before purchase. Excerpt from Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
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- ÉditeurForgotten Books
- Date d'édition2024
- ISBN 10 1334213712
- ISBN 13 9781334213717
- ReliureBroché
- Langueanglais
- Nombre de pages77
- Coordonnées du fabricantnon disponible
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EUR 20,14
EUR 1,09 expédition depuis Etats-Unis vers France
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Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization Classic Reprint
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LX-9781334213717
Quantité disponible : 15 disponible(s)
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Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization Classic Reprint
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LX-9781334213717
Quantité disponible : 15 disponible(s)
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Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
impression à la demandeVendeur : Forgotten Books, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. Print on Demand. This book delves into the topic of solving nonlinearly constrained optimization problems, a complex mathematical challenge with wide-ranging applications in engineering, economics, and other fields. The author, an expert in optimization methods, presents a comprehensive analysis of projected Hessian updating algorithms, a specialized technique for solving these problems efficiently. The heart of the book lies in the detailed examination of the theoretical properties of projected Hessian updating algorithms. The author meticulously proves their convergence properties, ensuring that they can reliably find solutions to nonlinearly constrained optimization problems. Furthermore, the book provides valuable insights into the strengths and limitations of different variants of these algorithms. This knowledge equips readers with the tools to select the most appropriate algorithm for their specific problem. Overall, this book offers a deep understanding of projected Hessian updating algorithms, positioning them within the broader context of nonlinear optimization. Its rigorous analysis and practical guidance make it an essential resource for researchers, practitioners, and anyone seeking to master this advanced optimization technique. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N° de réf. du vendeur 9781334213717_0
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