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Duality in Optimization and Variational Inequalities (Optimization Theory and Applications) - Softcover

Goh, C. J.

 
9780367396152: Duality in Optimization and Variational Inequalities (Optimization Theory and Applications)
Softcover
ISBN 10: 0367396157 ISBN 13: 9780367396152
Verlag: CRC Press, 2019

Inhaltsangabe

This comprehensive volume covers a wide range of duality topics ranging from simple ideas in network flows to complex issues in non-convex optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational inequalities, as generalizations to optimization. Duality in Optimization and Variational Inequalities is intended for researchers and practitioners of optimization with the aim of enhancing their understanding of duality. It provides a wider appreciation of optimality conditions in various scenarios and under different assumptions. It will enable the reader to use duality to devise more effective computational methods, and to aid more meaningful interpretation of optimization and variational inequality problems.

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Über die Autorin bzw. den Autor

Goh, C.j.

Von der hinteren Coverseite

This comprehensive volume covers a wide range of duality topics ranging from simple ideas in network flows to complex issues in non-convex optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational inequalities, as generalizations to optimization. Duality in Optimization and Variational Inequalities is intended for researchers and practitioners of optimization with the aim of enhancing their understanding of duality. It provides a wider appreciation of optimality conditions in various scenarios and under different assumptions. It will enable the reader to use duality to devise more effective computational methods, and to aid more meaningful interpretation of optimization and variational inequality problems.

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Verlag
CRC Press
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
0367396157
ISBN 13 
9780367396152
Einband
Taschenbuch
Anzahl der Seiten
336
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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