Integrated Methods for Optimization (Paperback)

John N. Hooker

ISBN 10: 1441942580 / ISBN 13: 9781441942586

Editore: Springer-Verlag New York Inc., New York, NY, 2010

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Paperback. Integrated Methods for Optimization integrates the key concepts of Mathematical Programming and Constraint Programming into a unified framework that allows them to be generalized and combined. The unification of MP and CP creates optimization methods that have much greater modeling power, increased computational speed, and a sizeable reduction computational coding. Hence the benefits of this integration are substantial, providing the Applied Sciences with a powerful, high-level modeling solution for optimization problems. As reviewers of the book have noted, this integration along with constraint programming being incorporated into a number of programming languages, brings the field a step closer to being able to simply state a problem and having the computer solve it. John Hooker is a leading researcher in both the Optimization and Constraint Programming research communities. He has been an instrumental principal for this integration, and over the years, he has given numerous presentations and tutorials on the integration of these two areas. It is felt by many in the field that the future Optimization courses will increasingly be taught from this integrated framework. Integrated Methods for Optimization integrates the key concepts of Mathematical Programming and Constraint Programming into a unified framework that allows them to be generalized and combined. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9781441942586

Dati bibliografici

• Titolo: Integrated Methods for Optimization (Paperback)
• Editore: Springer-Verlag New York Inc., New York, NY
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441942580
• ISBN 13: 9781441942586
• Rilegatura: Paperback
• Edizione: prima edizione
• Condizione: new

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Riassunto

PEACH (Personal Experience with Active Cultural Heritage) is a large, interdisciplinary development project that explores the use of novel technologies for physical museum visits. Put together by editors and authors who are leading experts on the underlying AI technologies and their application, this book provides a comprehensive survey of the subject. Coverage includes reports on mobile guides, infrastructure and user modeling, the use of stationary devices, collaborative storytelling, 3D modeling, evaluation and usability, and future perspectives. It will be of benefit to AI researchers engaged with interface design as well as practitioners in the area of cultural heritage support and marketing.

Informazioni sull?autore

John Hooker is a leading researcher in both the Optimization and Constraint Programming research communities. He has been an instrumental principal for this integration, and over the years, he has given numerous presentations and tutorials on the integration of these two areas. It is felt by many in the field that the future Optimization courses will increasingly be taught from this integrated framework.

Prof. 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