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

• Main Author: Özmen, Ayse (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Contributions to Management Science,
• Subjects: 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...

Table of Contents:

• 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. .