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Integrated Methods for Optimization
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Table of Contents

Introduction.- Examples.- Optimization Basics.- Duality.- Search.- Inference.- Relaxation.- Dictionary of Constraints.

About the Author

John Hooker is T. Jerome Holleran Professor of Business Ethics and Social Responsibility, and Professor of Operations Research, at Carnegie Mellon University. He is also part-time Visiting Professor at London School of Economics, 2009-2011. He holds doctoral degrees in philosophy and management science. His research interests include operations research, business ethics, and cross-cultural issues. He teaches courses in these fields at the undergraduate, postgraduate, and executive levels, and he has published over 130 articles and seven books. He is founding editor-in-chief of the Journal of Business Ethics Education and an area editor for INFORMS Journal on Computing. He is founding director of the Center for International Corporate Responsibility at Carnegie Mellon. He was recently named an INFORMS Fellow for outstanding contributions to operations research and the management sciences. His recent book Integrated Methods for Optimization reflects his primary research interests in operations research. He developed the ethics curriculum, including course materials, used in CMU's Tepper School of Business, and he has co-organized four conferences on international corporate responsibility. His book Working across Cultures is used as a text in cross-cultural business courses at several universities. He has lived and worked in Australia, China, Denmark, India, Qatar, Turkey, the United States, and Zimbabwe, and has extensive experience in Germany, Mexico, and the United Kingdom. He has led professional workshops in several countries. He was head of Carnegie Mellon's undergraduate Business Administration Program 1996-2001. He reorganized the program, led the design of its curriculum, and received a distinguished service award from the Tepper School for his contributions. In 2009 he received an Award for Sustained Teaching Excellence in the program.

Reviews

From the reviews of the second edition:"The book amply illustrates the power of combining the strengths of constraint programming, mathematical programming, global optimization, and heuristics by detailing these approaches, by articulating the commonalties among them, and by applying them to a wide range of optimization problems. ... this book covers the field both broadly and with sufficient granularity to provide working software engineers and graduate students with both a firm theoretical grasp of optimization and the software techniques needed to solve real-world problems. I recommend the book without reservation." (Marlin Thomas, ACM Computing Reviews, July, 2012)

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