9781332194698 - sequential quadratic programming methods based on approximating a projected hessian matrix (classic reprint) di gurwitz, chaya bleich (3 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 26,26
Spedizione gratuitaSpedito in U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,87
EUR 4,85 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Altre immagini- Brossura
- Print on Demand
Da: Forgotten Books, London, Regno UnitoForgotten Books
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EUR 16,77
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Paperback. Condizione: New. Print on Demand. This book explores an alternative to traditional sequential quadratic programming (SQP) methods for solving complex optimization problems with nonlinear constraints. The author discusses the strengths and shortcomings of the projected Hessian (PH) approach in the context of SQP framew…orks, providing both theoretical and practical insights. The main focus is on developing SQP methods with projected Hessian approximations that maintain an approximation to the Hessian matrix projected onto the tangent space of the constraints. The approach aims to reduce the computational cost of updating the Hessian matrix and to enhance the stability and convergence properties of SQP methods, particularly for inequality constrained problems. The book includes numerical results and detailed descriptions of the proposed algorithms and their implementation, providing valuable resources for researchers and practitioners working in optimization theory and applications. 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.
