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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Özmen, Ayşe (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Contributions to Management Science,
Temas:
Operations research.
Mathematical optimization.
Mathematical models.
Engineering mathematics.
Engineering-Data processing.
Environmental sciences-Mathematics.
Operations Research and Decision Theory.
Optimization.
Mathematical Modeling and Industrial Mathematics.
Mathematical and Computational Engineering Applications.
Mathematical Applications in Environmental Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Mathematical Methods Used
  • New Robust Analytic Tools
  • Spline Regression Models for Complex Multi-Model Regulatory Networks
  • Robust Optimization in Spline Regression Models for Regulatory Networks Under Polyhedral Uncertainty
  • Real-World Application with Our Robust Tools
  • Conclusion and Outlook. .

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