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Ajouter au panierEtat : New. 2015. Paperback. . . . . .
Edité par Princeton University Press, 2015
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 595.
Edité par Princeton University Press, 2015
ISBN 10 : 0691616833 ISBN 13 : 9780691616834
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Ajouter au panierEtat : New. 2015. Paperback. . . . . . Books ship from the US and Ireland.
Edité par Princeton University Press, 2015
ISBN 10 : 0691616833 ISBN 13 : 9780691616834
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Edité par Princeton University Press, 2015
ISBN 10 : 0691616833 ISBN 13 : 9780691616834
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Ajouter au panierPaperback. Etat : Brand New. 440 pages. 9.21x6.14x1.00 inches. In Stock.
Edité par Princeton University Press, 1977
ISBN 10 : 0691081417 ISBN 13 : 9780691081410
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Ajouter au panierHardcover. Etat : Very Good. No Jacket. Former library book; Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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ISBN 10 : 0691644047 ISBN 13 : 9780691644042
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ISBN 10 : 0691644047 ISBN 13 : 9780691644042
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Ajouter au panierHardcover. Etat : Brand New. 440 pages. 9.25x6.12x1.00 inches. In Stock.
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Ajouter au panierPaperback. Etat : Brand New. 440 pages. 9.21x6.14x1.00 inches. In Stock. This item is printed on demand.
Edité par Princeton University Press, 2015
ISBN 10 : 0691616833 ISBN 13 : 9780691616834
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a comprehensive treatment of necessary conditions for general optimization problems. The presentation is carried out in the context of a general theory for extremal problems in a topological vector space setting.Following a brief summary of the required background, generalized Lagrange multiplier rules are derived for optimization problems with equality and generalized 'inequality' constraints. The treatment stresses the importance of the choice of the underlying set over which the optimization is to be performed, the delicate balance between differentiability-continuity requirements on the constraint functionals, and the manner in which the underlying set is approximated by a convex set. The generalized multiplier rules are used to derive abstract maximum principles for classes of optimization problems defined in terms of operator equations in a Banach space. It is shown that special cases include the usual maximum principles for general optimal control problems described in terms of diverse systems such as ordinary differential equations, functional differential equations, Volterra integral equations, and difference equations. Careful distinction is made throughout the analysis between 'local' and 'global' maximum principles.Originally published in 1977.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Edité par Princeton University Press, 2016
ISBN 10 : 0691644047 ISBN 13 : 9780691644042
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Optimization | A Theory of Necessary Conditions | Lucien W. Neustadt | Buch | Einband - fest (Hardcover) | Englisch | 2016 | Princeton University Press | EAN 9780691644042 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Edité par Princeton University Press, 2016
ISBN 10 : 0691644047 ISBN 13 : 9780691644042
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 235,47
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a comprehensive treatment of necessary conditions for general optimization problems. The presentation is carried out in the context of a general theory for extremal problems in a topological vector space setting.Following a brief summary of the required background, generalized Lagrange multiplier rules are derived for optimization problems with equality and generalized 'inequality' constraints. The treatment stresses the importance of the choice of the underlying set over which the optimization is to be performed, the delicate balance between differentiability-continuity requirements on the constraint functionals, and the manner in which the underlying set is approximated by a convex set. The generalized multiplier rules are used to derive abstract maximum principles for classes of optimization problems defined in terms of operator equations in a Banach space. It is shown that special cases include the usual maximum principles for general optimal control problems described in terms of diverse systems such as ordinary differential equations, functional differential equations, Volterra integral equations, and difference equations. Careful distinction is made throughout the analysis between 'local' and 'global' maximum principles.Originally published in 1977.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.