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Sinopsis
A semi-infinite programming problem is an optimization problem in which finitely many variables appear in infinitely many constraints. This model naturally arises in an abundant number of applications in different fields of mathematics, economics and engineering. If the infinite index set also depends on the decision variable of optimization, then the problem is called generalized semi-infinite programming problem (GSIP). Chebyshev approximation, reverse Chebyshev approximation, design centering, robust optimizations, the optimal layout of an assembly line, time minimal control and disjunctive optimization are some examples for GSIP problems. This book gives a brief review of numerical methods for solving semi-infinite programming problems and introduces the semi smooth Newton method for solving GSIP problems. Convergence and numerical results shows that the method is a promising numerical method for solution of GSIP problems.
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Reseña del editor
A semi-infinite programming problem is an optimization problem in which finitely many variables appear in infinitely many constraints. This model naturally arises in an abundant number of applications in different fields of mathematics, economics and engineering. If the infinite index set also depends on the decision variable of optimization, then the problem is called generalized semi-infinite programming problem (GSIP). Chebyshev approximation, reverse Chebyshev approximation, design centering, robust optimizations, the optimal layout of an assembly line, time minimal control and disjunctive optimization are some examples for GSIP problems. This book gives a brief review of numerical methods for solving semi-infinite programming problems and introduces the semi smooth Newton method for solving GSIP problems. Convergence and numerical results shows that the method is a promising numerical method for solution of GSIP problems.
Biografía del autor
Dr. Aysun TEZEL ÖZTURAN was born in 1978 in Ordu, Turkey. She studied Mathematics at the Middle East Technical University (METU) in Ankara. She completed her Ph.D. in Mathematics at METU in year 2010 and received best Ph.D. thesis award. Mrs. Tezel Özturan works as an Assistant Professor at Department of Mathematics in Hacettepe University.
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Numerical Methods for Solving Semi-infinite Optimization Problems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tezel Oezturan AysunDr. Aysun TEZEL OeZTURAN was born in 1978 in Ordu, Turkey. She studied Mathematics at the Middle East Technical University (METU) in Ankara. She completed her Ph.D. in Mathematics at METU in year 2010 and received b. Nº de ref. del artículo: 159148083
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Numerical Methods for Solving Semi-infinite Optimization Problems
Publicado por
LAP LAMBERT Academic Publishing Sep 2016, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A semi-infinite programming problem is an optimization problem in which finitely many variables appear in infinitely many constraints. This model naturally arises in an abundant number of applications in different fields of mathematics, economics and engineering. If the infinite index set also depends on the decision variable of optimization, then the problem is called generalized semi-infinite programming problem (GSIP). Chebyshev approximation, reverse Chebyshev approximation, design centering, robust optimizations, the optimal layout of an assembly line, time minimal control and disjunctive optimization are some examples for GSIP problems. This book gives a brief review of numerical methods for solving semi-infinite programming problems and introduces the semi smooth Newton method for solving GSIP problems. Convergence and numerical results shows that the method is a promising numerical method for solution of GSIP problems. 160 pp. Englisch. Nº de ref. del artículo: 9783659942068
Cantidad disponible: 2 disponibles
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Numerical Methods for Solving Semi-infinite Optimization Problems
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A semi-infinite programming problem is an optimization problem in which finitely many variables appear in infinitely many constraints. This model naturally arises in an abundant number of applications in different fields of mathematics, economics and engineering. If the infinite index set also depends on the decision variable of optimization, then the problem is called generalized semi-infinite programming problem (GSIP). Chebyshev approximation, reverse Chebyshev approximation, design centering, robust optimizations, the optimal layout of an assembly line, time minimal control and disjunctive optimization are some examples for GSIP problems. This book gives a brief review of numerical methods for solving semi-infinite programming problems and introduces the semi smooth Newton method for solving GSIP problems. Convergence and numerical results shows that the method is a promising numerical method for solution of GSIP problems. Nº de ref. del artículo: 9783659942068
Cantidad disponible: 1 disponibles
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Numerical Methods for Solving Semi-infinite Optimization Problems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Numerical Methods for Solving Semi-infinite Optimization Problems
Publicado por
LAP LAMBERT Academic Publishing Sep 2016, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -A semi-infinite programming problem is an optimization problem in which finitely many variables appear in infinitely many constraints. This model naturally arises in an abundant number of applications in different fields of mathematics, economics and engineering. If the infinite index set also depends on the decision variable of optimization, then the problem is called generalized semi-infinite programming problem (GSIP). Chebyshev approximation, reverse Chebyshev approximation, design centering, robust optimizations, the optimal layout of an assembly line, time minimal control and disjunctive optimization are some examples for GSIP problems. This book gives a brief review of numerical methods for solving semi-infinite programming problems and introduces the semi smooth Newton method for solving GSIP problems. Convergence and numerical results shows that the method is a promising numerical method for solution of GSIP problems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 160 pp. Englisch. Nº de ref. del artículo: 9783659942068
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Numerical Methods for Solving Semi-infinite Optimization Problems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Numerical Methods for Solving Semi-infinite Optimization Problems
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ISBN 10: 3659942065
ISBN 13: 9783659942068
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Numerical Methods for Solving Semi-infinite Optimization Problems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Paperback. Condición: Brand New. 160 pages. 8.66x5.91x0.37 inches. In Stock. Nº de ref. del artículo: 3659942065
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