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  • John N. Hooker
    978-0-387-38274-6
    2007
    Edition 1
    • Integrated Methods for Optimization will be used as a textbook in Optimization courses. It is a well written book—John Hooker is an excellent expositor—and it will contain the appropriate textbook pedagogy: exercises and workout problems from a wide variety of OR and CS problems
    • Because of the integration of Mathematical Programming and Constraint Programming, the book will be of substantial interest to a wide number of researchers, students and technical practitioners in the Operations Research/Management Science, Computer Science, Engineering, and Applied Science discipline domains
    • John Hooker has published two earlier books on the methodologies of Optimization and Constraint Programming. The first was Optimization Methods for Logical Inference (Wiley 1999) and the second was Logic Based Methods for Optimization: Combining Optimization and Constraints Satisfaction (Wiley 2000). This book will be his third book in this evolving area and it is the book that completes the process of integrating these two methodologies into a single set of methods
    • Includes supplementary material: sn.pub/extras

    €419

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