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

• Κύριος συγγραφέας: Özmen, Ayse (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Contributions to Management Science,
• Θέματα: Business.; Operations research.; Decision making.; Mathematical models.; Mathematical optimization.; Applied mathematics.; Engineering mathematics.; Environmental sciences.; Business and Management.; Operation Research/Decision Theory.; Optimization.; Mathematical Modeling and Industrial Mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Math. Appl. in Environmental Science.

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...

Πίνακας περιεχομένων:

• 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. .