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Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems: January 1977 (Classic Reprint) - Couverture souple
Synopsis
Excerpt from Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems: January 1977
In this paper, a method is described to solve integer nonlinear programming problems In this bounded Branch and Bound method, the arborescence has only N nodes, where N is the number of variables of the problem. Therefore, we store in the main memory of the computer only the informations relative to the N nodes. We can.
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Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems January 1977 Classic Reprint
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781332280681
Quantité disponible : 15 disponible(s)
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Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems January 1977 Classic Reprint
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781332280681
Quantité disponible : 15 disponible(s)
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Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming
impression à la demandeVendeur : Forgotten Books, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. Print on Demand. This book presents an innovative method for addressing mixed-integer nonlinear programming, a prevalent type of mathematical optimization problem frequently encountered in various fields, such as engineering, economics, and finance. The technique, known as the Bounded Branch and Bound method, is thoroughly described, encompassing its theoretical foundations, practical implementation, and diverse applications. The author delves into both convex and non-convex formulations, offering comprehensive guidance on solving such complex problems. At its core, this book contributes to the broader realm of applied mathematics, particularly optimization theory. By extending existing knowledge on nonlinear programming, it provides a valuable tool for researchers grappling with intricate real-world scenarios. The author's in-depth analysis of the proposed method, coupled with its wide range of applications, makes this book an indispensable reference for academics, professionals, and students seeking advanced insights into this crucial area of research. 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 9781332280681_0
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