Robust Optimization of Spline Models and Complex Regulatory Networks: Theory, Methods and Applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Switzerland
Springer
[2016]
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| Schriftenreihe: | Contributions to Management Science
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| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FNU01 FRO01 FWS01 FWS02 HTW01 HWR01 TUBA1 UBG01 UBR01 UBT01 UBY01 UEI01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XII, 139 Seiten) 22 illus., 20 illus. in color |
| ISBN: | 9783319308005 |
| ISSN: | 1431-1941 |
| DOI: | 10.1007/978-3-319-30800-5 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 618822 |
|---|---|
| _version_ | 1806179773347528704 |
| adam_text | ROBUST OPTIMIZATION OF SPLINE MODELS AND COMPLEX REGULATORY NETWORKS
/ OEZMEN, AYSE
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
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.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
ROBUST OPTIMIZATION OF SPLINE MODELS AND COMPLEX REGULATORY NETWORKS
/ OEZMEN, AYSE
: 2016
ABSTRACT / INHALTSTEXT
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 SPLINE REGRESSION MODELS
FOR MULTI-MODEL REGULATORY NETWORKS AND INTERPRETS (C)MARS RESULTS BASED
ON DIFFERENT DATASETS FOR THE IMPLEMENTATION. IT EXPLAINS ROBUST
OPTIMIZATION IN THESE MODELS IN TERMS OF BOTH THE THEORY AND
METHODOLOGY. IN THIS CONTEXT IT STUDIES R(C)MARS RESULTS WITH DIFFERENT
UNCERTAINTY SCENARIOS FOR A NUMERICAL EXAMPLE. LASTLY, THE BOOK
DEMONSTRATES THE IMPLEMENTATION OF THE METHOD IN A NUMBER OF
APPLICATIONS FROM THE FINANCIAL, ENERGY, AND ENVIRONMENTAL SECTORS, AND
PROVIDES AN OUTLOOK ON FUTURE RESEARCH
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Özmen, Ayse |
| author_facet | Özmen, Ayse |
| author_role | aut |
| author_sort | Özmen, Ayse |
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| building | Verbundindex |
| bvnumber | BV043579452 |
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| ctrlnum | (ZDB-2-BUM)978-3-319-30800-5 (OCoLC)951074595 (DE-599)BVBBV043579452 |
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| dewey-sort | 3658.40301 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-319-30800-5 |
| format | Electronic eBook |
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| id | DE-604.BV043579452 |
| illustrated | Illustrated |
| indexdate | 2024-08-01T12:14:20Z |
| institution | BVB |
| isbn | 9783319308005 |
| issn | 1431-1941 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028994124 |
| oclc_num | 951074595 |
| open_access_boolean | |
| owner | DE-634 DE-1043 DE-1046 DE-Aug4 DE-573 DE-M347 DE-92 DE-898 DE-BY-UBR DE-859 DE-1049 DE-861 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-523 DE-2070s DE-83 DE-473 DE-BY-UBG DE-355 DE-BY-UBR DE-703 DE-706 DE-824 DE-29 DE-739 |
| owner_facet | DE-634 DE-1043 DE-1046 DE-Aug4 DE-573 DE-M347 DE-92 DE-898 DE-BY-UBR DE-859 DE-1049 DE-861 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-523 DE-2070s DE-83 DE-473 DE-BY-UBG DE-355 DE-BY-UBR DE-703 DE-706 DE-824 DE-29 DE-739 |
| physical | 1 Online-Ressource (XII, 139 Seiten) 22 illus., 20 illus. in color |
| psigel | ZDB-2-BUM ZDB-2-BUM_2016 |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series2 | Contributions to Management Science |
| spellingShingle | Özmen, Ayse Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications 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 Mathematisches Modell Wirtschaft Spline-Funktion (DE-588)4056332-7 gnd Robuste Optimierung (DE-588)7752811-6 gnd |
| subject_GND | (DE-588)4056332-7 (DE-588)7752811-6 |
| title | Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications |
| title_auth | Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications |
| title_exact_search | Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications |
| title_full | Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications Ayşe Özmen |
| title_fullStr | Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications Ayşe Özmen |
| title_full_unstemmed | Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications Ayşe Özmen |
| title_short | Robust Optimization of Spline Models and Complex Regulatory Networks |
| title_sort | robust optimization of spline models and complex regulatory networks theory methods and applications |
| title_sub | Theory, Methods and Applications |
| topic | 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 Mathematisches Modell Wirtschaft Spline-Funktion (DE-588)4056332-7 gnd Robuste Optimierung (DE-588)7752811-6 gnd |
| topic_facet | 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 Mathematisches Modell Wirtschaft Spline-Funktion Robuste Optimierung |
| url | https://doi.org/10.1007/978-3-319-30800-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994124&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994124&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT ozmenayse robustoptimizationofsplinemodelsandcomplexregulatorynetworkstheorymethodsandapplications |