Descripción:
2000 purple & gray hardcover in like new condition; slight wear to covers, no marks inside. US media mail for shipping. A pioneering look at the fundamental role of logic in optimization and constraint satisfactionWhile recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful as well as flexible modeling and solution techniques. Designed to be easily accessible to industry professionals and academics in both operations research and artificial intelligence, the book provides a wealth of examples as well as elegant techniques and modeling frameworks ready for implementation. Timely, original, and…
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Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction Tapa dura - 2000 - 1st Edición
de John Hooker
Primera línea
Logical inference is inseparable from optimization.
Descripción de contraportada
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction
While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful as well as flexible modeling and solution techniques. Designed to be easily accessible to industry professionals and academics in both operations research and artificial intelligence, the book provides a wealth of examples as well as elegant techniques and modeling frameworks ready for implementation. Timely, original, and thought-provoking, Logic-Based Methods for Optimization:* Demonstrates the advantages of combining the techniques in problem solving
* Offers tutorials in constraint satisfaction/constraint programming and logical inference
* Clearly explains such concepts as relaxation, cutting planes, nonserial dynamic programming, and Bender's decomposition
* Reviews the necessary technologies for software developers seeking to combine the two techniques
* Features extensive references to important computational studies
* And much more
Detalles
- Título Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction
- Autor John Hooker
- Encuadernación Tapa dura
- Número de edición 1st
- Edición 1
- Páginas 520
- Volúmenes 1
- Idioma ENG
- Editorial Wiley-Interscience
- Fecha de publicación 2000-05-30
- Ilustrado Sí
- Features Bibliography, Illustrated, Index
- ISBN 9780471385219 / 0471385212
- Peso 1.83 libras (0.83 kg)
- Dimensiones 9.6 x 5.92 x 1.19 pulgadas (24.38 x 15.04 x 3.02 cm)
- Library of Congress subjects Mathematical optimization, Logic, Symbolic and mathematical
- Número de catálogo de la Librería del Congreso de EEUU 99088732
- Dewey Decimal Code 519.72
Reseñas en medios
Citas
- Choice, 03/01/2001, Page 1304
- Scitech Book News, 12/01/2000, Page 125
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Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction
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Wiley-Interscience, 2000-05-12. Hardcover. New. New. In shrink wrap. Looks like an interesting title!
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