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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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Numerical Methods for Solving Semi-infinite Optimization Problems
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LAP LAMBERT Academic Publishing Sep 2016, 2016
ISBN 10: 3659942065
ISBN 13: 9783659942068
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Taschenbuch. Condizione: 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. Codice articolo 9783659942068
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Condizione: 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. Codice articolo 159148083
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Codice articolo 9783659942068
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Taschenbuch. Condizione: Neu. Numerical Methods for Solving Semi-infinite Optimization Problems | Aysun Tezel Özturan | Taschenbuch | 160 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659942068 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 103016785
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Taschenbuch. Condizione: 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. Codice articolo 9783659942068
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