This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example.

Presents a broad range of nonlinear programming applications from a diverse mix of fields Includes an in-depth discussion of the main solution techniques Each method is formally described, and then fully solved using a numerical example

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H. A. Eiselt is a Professor in the Faculty of, University of New Brunswick, Canada. He joined the then Faculty of Business Administration in 1986 and is a member of the Quantitative Methods Area. He teaches Quantitative Analysis and Location Theory in the BBA program. Dr. Eiselt received the UNB Merit Award in 1991. He received the Faculty of Business Administration's Excellence in Research Award in 1998, 2003 and 2014 for outstanding performance across his career. He is Associate Editor of INFOR. He is also a member of the Advisory or Editorial Boards of Computers & Operations Research, International Journal of Operations, Quantitative Management. He has (co-)authored 121 scientific papers and has authored or edited 14 books, 11 with Springer. Vladimir Marianov is an Emeritus Professor of Electrical Engineering at the Pontificia Universidad Católica de Chile in Santiago, Chile, where he teaches and performs research on Facility Location and Network Design. He has publishedover 90 refereed papers in international journals and presented a large number of papers at conferences and lectures, which has earned him international recognition. His research interests include the design and optimization of communication networks. He earned a degree in Telecommunications Engineering at the Universidad de Chile and his Master of Engineering and Doctor of Philosophy at the Johns Hopkins University, Baltimore, MD, USA. Joyendu "Joy" Bhadury is Professor and Dean at the Davis College of Business and Economics at Radford University, Virginia, USA. Prior to his current appointment, he was Professor and Dean at the School of Business and Management at SUNY-Brockport and Associate Dean of Research and Graduate Programs for the Bryan School of Business and Economics at The University of North Carolina at Greensboro. After completing his PhD in Management Science from the University of Texas at Dallas in 1991, he has also worked at the following institutions: University of New Brunswick, Canada, SUNY-Buffalo and California State University - East Bay. His professional specialization is in Management Science and Operations, Logistics and Supply Chain Management and his work has been published in numerous national and international academic journals and supported by funding from various agencies in USA and Canada.

Inhalt
Introduction.- Unconstrained Optimization.- Applications of Nonlinear Programming.- Optimality Conditions and Duality Theory.- General Solution Methods for Constrained Optimization.- Methods for Linearly Constrained Problems.- Methods for Nonlinearly Constrained Problems.- Geometric Programming.