Numerica : a modeling language for global optimization / Pascal Van Hentenryck, Laurent Michel, Yves Deville.
By: Van Hentenryck, Pascal [author.]
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Contributor(s): Michel, Laurent | Deville, Yves | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: 
BookPublisher: Cambridge, Massachusetts : MIT Press, c1997Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [1997]Description: 1 PDF (xvii, 210 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262288408.Subject(s): Numerica | Mathematical optimization | Nonlinear programmingGenre/Form: Electronic books.Additional physical formats: Print version: No titleDDC classification: 519.3 Online resources: Abstract with links to resource Also available in print.Summary: Many science and engineering applications require the user to find solutions to systems of nonlinear constraints or to optimize a nonlinear function subject to nonlinear constraints. The field of global optimization is the study of methods to find all solutions to systems of nonlinear constraints and all global optima to optimization problems. Numerica is modeling language for global optimization that makes it possible to state nonlinear problems in a form close to the statements traditionally found in textbooks and scientific papers. The constraint-solving algorithm of Numerica is based on a combination of traditional numerical methods such as interval and local methods, and constraint satisfaction techniques.This comprehensive presentation of Numerica describes its design, functions, and implementation. It also discusses how to use Numerica effectively to solve practical problems and reports a number of experimental results.A commercial implementation of Numerica is available from ILOG under the name ILOG Numerica.
Includes bibliographical references (p. [203]-206) and index.
Restricted to subscribers or individual electronic text purchasers.
Many science and engineering applications require the user to find solutions to systems of nonlinear constraints or to optimize a nonlinear function subject to nonlinear constraints. The field of global optimization is the study of methods to find all solutions to systems of nonlinear constraints and all global optima to optimization problems. Numerica is modeling language for global optimization that makes it possible to state nonlinear problems in a form close to the statements traditionally found in textbooks and scientific papers. The constraint-solving algorithm of Numerica is based on a combination of traditional numerical methods such as interval and local methods, and constraint satisfaction techniques.This comprehensive presentation of Numerica describes its design, functions, and implementation. It also discusses how to use Numerica effectively to solve practical problems and reports a number of experimental results.A commercial implementation of Numerica is available from ILOG under the name ILOG Numerica.
Also available in print.
Mode of access: World Wide Web
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