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Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems: January 1977 (Classic Reprint) - Softcover

 
9781332280681: Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems: January 1977 (Classic Reprint)

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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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

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  • PublisherForgotten Books
  • Publication date2019
  • ISBN 10 1332280684
  • ISBN 13 9781332280681
  • BindingPaperback
  • LanguageEnglish
  • Number of pages103

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9780656402700: Rounded Branch and Bound Method for Mixed Integer Nonlinear Programming Problems: January 1977 (Classic Reprint)

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ISBN 10:  0656402709 ISBN 13:  9780656402700
Publisher: Forgotten Books, 2018
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Paperback. Condition: 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. Seller Inventory # 9781332280681_0

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