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The book equips both students and newcomers to the field with a grasp of the fundamental questions and ongoing advancements in robust optimization. Based on the authors¿ years of teaching and refining numerous courses, it not only offers essential tools but also highlights the open questions that define this subject area.
The book equips both students and newcomers to the field with a grasp of the fundamental questions and ongoing advancements in robust optimization. Based on the authors¿ years of teaching and refining numerous courses, it not only offers essential tools but also highlights the open questions that define this subject area.
Marc Goerigk is a Professor and Chair of Business Decisions and Data Science at the University of Passau, Germany. He has previously held positions at the Universities of Siegen, Lancaster (UK), Kaiserslautern, and Göttingen, where he pursued his studies in mathematics. Marc has a keen interest in optimization under uncertainty.
Michael Hartisch currently serves as a temporary professor of Analytics & Mixed-Integer Optimization at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany. Prior to this role, he was acting chair of Network and Data Science Management at the University of Siegen, Germany. His academic journey began with studies in mathematics at Friedrich Schiller University Jena, Germany. Michael's primary focus is on optimization under uncertainty.
1. Introduction.- 2. Basic Concepts.- 3. Robust Problems.- 4. General Reformulation Results.- 5. General Solution Methods.- 6. Robust election Problems.- 7. Robust Shortest Path Problems.- 8. Robust Spanning Tree Problems.- 9. Other Combinatorial Problems.- 10. Other Models for Robust Optimization.- 11. Open Problems.
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Recht, Sozialwissenschaften, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: |
xii
308 S. 87 s/w Illustr. 308 p. 87 illus. |
ISBN-13: | 9783031612602 |
ISBN-10: | 3031612604 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Hartisch, Michael
Goerigk, Marc |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing AG |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 23 mm |
Von/Mit: | Michael Hartisch (u. a.) |
Erscheinungsdatum: | 23.08.2024 |
Gewicht: | 0,647 kg |
Marc Goerigk is a Professor and Chair of Business Decisions and Data Science at the University of Passau, Germany. He has previously held positions at the Universities of Siegen, Lancaster (UK), Kaiserslautern, and Göttingen, where he pursued his studies in mathematics. Marc has a keen interest in optimization under uncertainty.
Michael Hartisch currently serves as a temporary professor of Analytics & Mixed-Integer Optimization at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany. Prior to this role, he was acting chair of Network and Data Science Management at the University of Siegen, Germany. His academic journey began with studies in mathematics at Friedrich Schiller University Jena, Germany. Michael's primary focus is on optimization under uncertainty.
1. Introduction.- 2. Basic Concepts.- 3. Robust Problems.- 4. General Reformulation Results.- 5. General Solution Methods.- 6. Robust election Problems.- 7. Robust Shortest Path Problems.- 8. Robust Spanning Tree Problems.- 9. Other Combinatorial Problems.- 10. Other Models for Robust Optimization.- 11. Open Problems.
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Recht, Sozialwissenschaften, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: |
xii
308 S. 87 s/w Illustr. 308 p. 87 illus. |
ISBN-13: | 9783031612602 |
ISBN-10: | 3031612604 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Hartisch, Michael
Goerigk, Marc |
Hersteller: |
Springer Nature Switzerland
Springer International Publishing AG |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 23 mm |
Von/Mit: | Michael Hartisch (u. a.) |
Erscheinungsdatum: | 23.08.2024 |
Gewicht: | 0,647 kg |