Robust Optimization of Spline Models and Complex Regulatory Networks: Theory, Methods and Applications (Contributions to Management Science)

�zmen, Ay?e

ISBN 10: 3319307991 ISBN 13: 9783319307992

Editorial: Springer, 2016

Nuevos Encuadernaci�n de tapa dura

Librer�a: Ria Christie Collections, Uxbridge, Reino Unido Calificaci�n del vendedor: 5 de 5 estrellas

Vendedor de AbeBooks desde 25 de marzo de 2015

Este art�culo en concreto ya no est� disponible.

Ver los art�culos de este vendedor Crear una petici�n para art�culos similares

Ver todos los ejemplares de este libro

Descripci�n

In. N� de ref. del art�culo ria9783319307992_new

Denunciar este art�culo

Sinopsis:

This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity. The proposed techniques are implemented andexplained in two-model regulatory systems that can be found in the financialsector and in the contexts of banking, environmental protection, system biologyand medicine. The book provides necessarybackground information on multi-model regulatory networks, optimizationand regression. It presents the theory of and approaches to robust (conic)multivariate adaptive regression splines - R(C)MARS - and robust (conic)generalized partial linear models - R(C)GPLM - under polyhedral uncertainty. Further,it introduces spline regression models for multi-model regulatory networks andinterprets (C)MARS results based on different datasets for the implementation.It explains robust optimization in these models in terms of both the theory andmethodology. In this context it studies R(C)MARS results with differentuncertainty scenarios for a numerical example. Lastly, the book demonstratesthe implementation of the method in a number of applications from thefinancial, energy, and environmental sectors, and provides an outlook on futureresearch.

Acerca del autor: Ayşe �zmen has affiliation at Turkish Energy Foundation(TENVA)and Institute of Applied Mathematics of Middle East Technical University (METU), Ankara, Turkey. Her research is on OR, optimization, energy modelling, renewable energy systems, network modelling, regulatory networks, data mining. She received her Doctorate in Scientific Computing at Institute for Applied Mathematics at METU.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Detalles bibliogr�ficos

T�tulo: Robust Optimization of Spline Models and ...
Editorial: Springer
A�o de publicaci�n: 2016
Encuadernaci�n: Encuadernaci�n de tapa dura
Condici�n: New

Los mejores resultados en AbeBooks

Imagen de archivo

Robust Optimization of Spline Models and Complex Regulatory Networks : Theory, Methods and Applications

�zmen, Ay�e

Publicado por Palgrave Macmillan, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Antiguo o usado Tapa dura

Librería: Buchpark, Trebbin, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: B�cher | This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity. The proposed techniques are implemented andexplained in two-model regulatory systems that can be found in the financialsector and in the contexts of banking, environmental protection, system biologyand medicine. The book provides necessarybackground information on multi-model regulatory networks, optimizationand regression. It presents the theory of and approaches to robust (conic)multivariate adaptive regression splines - R(C)MARS � and robust (conic)generalized partial linear models � R(C)GPLM � under polyhedral uncertainty. Further,it introduces spline regression models for multi-model regulatory networks andinterprets (C)MARS results based on different datasets for the implementation.It explains robust optimization in these models in terms of both the theory andmethodology. In this context it studies R(C)MARS results with differentuncertainty scenarios for a numerical example. Lastly, the book demonstratesthe implementation of the method in a number of applications from thefinancial, energy, and environmental sectors, and provides an outlook on futureresearch. N� de ref. del art�culo: 26475291/12

Contactar al vendedor

Comprar usado

EUR 9,72

EUR 105,00 shipping
Se env�a de Alemania a Estados Unidos de America

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Robust Optimization of Spline Models and Complex Regulatory Networks. Theory, Methods and Applications.

�zmen, Ayse

Publicado por Cham, Springer International Publishing; : Springer., 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Antiguo o usado Tapa dura

Librería: Universit�tsbuchhandlung Herta Hold GmbH, Berlin, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

XII, 139 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Contributions to Management Science. Sprache: Englisch. N� de ref. del art�culo: 6137GB

Contactar al vendedor

Comprar usado

EUR 13,00

EUR 30,00 shipping
Se env�a de Alemania a Estados Unidos de America

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen del vendedor

Robust Optimization of Spline Models and Complex Regulatory Networks

Ayse �zmen

Publicado por Springer International Publishing, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Nuevo Tapa dura

Impresi�n bajo demanda

Librería: moluna, Greven, Alemania

Calificaci�n del vendedor: 4 de 5 estrellas

Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presentsnew methods of robust optimization to handle uncertainty and non-linearity incomplex regulatory networksProvidesguidance in the trade-off between accuracy and robustnessExemplifiesthe new methods in three detailed applications involving fina. N� de ref. del art�culo: 117041163

Contactar al vendedor

Comprar nuevo

EUR 48,37

EUR 48,99 shipping
Se env�a de Alemania a Estados Unidos de America

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen del vendedor

M�s im�genes

Robust Optimization of Spline Models and Complex Regulatory Networks | Theory, Methods and Applications

Ay�e �zmen

Publicado por Springer International Publishing, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Nuevo Tapa dura

Impresi�n bajo demanda

Librería: preigu, Osnabr�ck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Contactar al vendedor

Comprar nuevo

EUR 50,35

EUR 70,00 shipping
Se env�a de Alemania a Estados Unidos de America

Cantidad disponible: 5 disponibles

A�adir al carrito

Imagen de archivo

Robust Optimization of Spline Models and Complex Regulatory Networks: Theory, Methods and Applications (Contributions to Management Science)

�zmen, Ay?e

Publicado por Springer, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Nuevo Tapa dura

Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. N� de ref. del art�culo: ABLIING23Mar3113020092985

Contactar al vendedor

Comprar nuevo

EUR 52,00

EUR 3,38 shipping
Se env�a dentro de Estados Unidos de America

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen del vendedor

Robust Optimization of Spline Models and Complex Regulatory Networks : Theory, Methods and Applications

Ay�e �zmen

Publicado por Springer International Publishing, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Nuevo Tapa dura

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity. The proposed techniques are implemented andexplained in two-model regulatory systems that can be found in the financialsector and in the contexts of banking, environmental protection, system biologyand medicine. The book provides necessarybackground information on multi-model regulatory networks, optimizationand regression. It presents the theory of and approaches to robust (conic)multivariate adaptive regression splines - R(C)MARS - and robust (conic)generalized partial linear models - R(C)GPLM - under polyhedral uncertainty. Further,it introduces spline regression models for multi-model regulatory networks andinterprets (C)MARS results based on different datasets for the implementation.It explains robust optimization in these models in terms of both the theory andmethodology. In this context it studies R(C)MARS results with differentuncertainty scenarios for a numerical example. Lastly, the book demonstratesthe implementation of the method in a number of applications from thefinancial, energy, and environmental sectors, and provides an outlook on futureresearch. N� de ref. del art�culo: 9783319307992

Contactar al vendedor

Comprar nuevo

EUR 53,49

EUR 62,01 shipping
Se env�a de Alemania a Estados Unidos de America

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen del vendedor

Robust Optimization of Spline Models and Complex Regulatory Networks

Ay�e �zmen

Publicado por Springer International Publishing, Springer International Publishing Mai 2016, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Nuevo Tapa dura

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: Neu. Neuware -This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity. The proposed techniques are implemented andexplained in two-model regulatory systems that can be found in the financialsector and in the contexts of banking, environmental protection, system biologyand medicine. The book provides necessarybackground information on multi-model regulatory networks, optimizationand regression. It presents the theory of and approaches to robust (conic)multivariate adaptive regression splines - R(C)MARS � and robust (conic)generalized partial linear models � R(C)GPLM � under polyhedral uncertainty. Furtherit introduces spline regression models for multi-model regulatory networks andinterprets (C)MARS results based on different datasets for the implementation.It explains robust optimization in these models in terms of both the theory andmethodology. In this context it studies R(C)MARS results with differentuncertainty scenarios for a numerical example. Lastly, the book demonstratesthe implementation of the method in a number of applications from thefinancial, energy, and environmental sectors, and provides an outlook on futureresearch.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch. N� de ref. del art�culo: 9783319307992

Contactar al vendedor

Comprar nuevo

EUR 53,49

EUR 60,00 shipping
Se env�a de Alemania a Estados Unidos de America

Cantidad disponible: 2 disponibles

A�adir al carrito

Imagen del vendedor

Robust Optimization of Spline Models and Complex Regulatory Networks

Ay�e �zmen

Publicado por Springer International Publishing Mai 2016, 2016

ISBN 10: 3319307991 ISBN 13: 9783319307992

Nuevo Tapa dura

Impresi�n bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity. The proposed techniques are implemented andexplained in two-model regulatory systems that can be found in the financialsector and in the contexts of banking, environmental protection, system biologyand medicine. The book provides necessarybackground information on multi-model regulatory networks, optimizationand regression. It presents the theory of and approaches to robust (conic)multivariate adaptive regression splines - R(C)MARS - and robust (conic)generalized partial linear models - R(C)GPLM - under polyhedral uncertainty. Further,it introduces spline regression models for multi-model regulatory networks andinterprets (C)MARS results based on different datasets for the implementation.It explains robust optimization in these models in terms of both the theory andmethodology. In this context it studies R(C)MARS results with differentuncertainty scenarios for a numerical example. Lastly, the book demonstratesthe implementation of the method in a number of applications from thefinancial, energy, and environmental sectors, and provides an outlook on futureresearch. 152 pp. Englisch. N� de ref. del art�culo: 9783319307992

Contactar al vendedor