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Robust Optimization of Spline Models and Complex Regulatory Networks
Ay E Ozmen
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Description for Robust Optimization of Spline Models and Complex Regulatory Networks
Hardback. Series: Contributions to Management Science. Num Pages: 139 pages, 2 black & white illustrations, 20 colour illustrations, biography. BIC Classification: KJT; PBU; PBWH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 10. Weight in Grams: 397.
This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are implemented and explained in two-model regulatory systems that can be found in the financial sector and in the contexts of banking, environmental protection, system biology and medicine. The book provides necessary background information on multi-model regulatory networks, optimization and 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 ... Read more
This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are implemented and explained in two-model regulatory systems that can be found in the financial sector and in the contexts of banking, environmental protection, system biology and medicine. The book provides necessary background information on multi-model regulatory networks, optimization and 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 ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
139
Condition
New
Series
Contributions to Management Science
Number of Pages
139
Place of Publication
Cham, Switzerland
ISBN
9783319307992
SKU
V9783319307992
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Ay E Ozmen
Ayşe Özmen 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.
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