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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

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.

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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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ISBN 10: 1332280684 ISBN 13: 9781332280681
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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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ISBN 10: 1332280684 ISBN 13: 9781332280681
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Published by Forgotten Books, 2018
ISBN 10: 1332280684 ISBN 13: 9781332280681
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