Overview
- new methods of robust optimization to handle uncertainty and non-linearity in
- complex regulatory networks
- Provides guidance in the trade-off between accuracy and robustness
- Exemplifies the new methods in three detailed applications involving financial, energy and environmental systems
Part of the book series: Contributions to Management Science (MANAGEMENT SC.)
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Table of contents (7 chapters)
Keywords
About this book
Authors and Affiliations
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Bibliographic Information
Book Title: Robust Optimization of Spline Models and Complex Regulatory Networks
Book Subtitle: Theory, Methods and Applications
Authors: Ayse Özmen
Series Title: Contributions to Management Science
DOI: https://doi.org/10.1007/978-3-319-30800-5
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30799-2Published: 23 May 2016
Softcover ISBN: 978-3-319-80890-1Published: 27 May 2018
eBook ISBN: 978-3-319-30800-5Published: 11 May 2016
Series ISSN: 1431-1941
Series E-ISSN: 2197-716X
Edition Number: 1
Number of Pages: XII, 139
Number of Illustrations: 2 b/w illustrations, 20 illustrations in colour
Topics: Operations Research/Decision Theory, Optimization, Mathematical Modeling and Industrial Mathematics, Mathematical and Computational Engineering, Math. Appl. in Environmental Science