Linear Programming : Foundations and Extensions

by Robert J. Vanderbei

Chapter 1. Introduction -- Chapter 2. The Simplex Method -- Chapter 3. Degeneracy -- Chapter 4. Efficiency of the Simplex Method -- Chapter 5. Duality Theory -- Chapter 6. The Simplex Method in Matrix Notational -- Chapter 7. Sensitivity and Parametric Analyses -- Chapter 8. Implementation Issues -- Chapter 9. Problems in General Form -- Chapter 10. Convex Analysis -- Chapter 11. Game Theory -- Chapter 12. Data Science Applications -- Chapter 13. Financial Applications -- Chapter 14. Network Flow Problems -- Chapter 15. Applications -- Chapter 16. Structural Optimization -- Chapter 17. The Central Path -- Chapter 18. A Path-Following Method -- Chapter 19. The KKT System -- Chapter 20. Implementation Issues -- Chapter 21. The Affine-Scaling Method -- Chapter 22. The Homogeneous Self-Dual Method -- Chapter 23. Integer Programming -- Chapter 24. Quadratic Programming -- Chapter 25. Convex Programming.

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Year of publication:	2020 ; 5th ed. 2020.
Authors:	Vanderbei, Robert J.
Publisher:	2020.: Cham : Springer International Publishing 2020.: Cham : Imprint: Springer
Subject:	Mathematische Optimierung \| Mathematical programming \| Theorie \| Theory \| Lineare Optimierung \| Netzwerkfluss \| Innere-Punkte-Methode
Description of contents:	Description [swbplus.bsz-bw.de]

Extent:	1 Online-Ressource(XXV, 471 p. 182 illus., 109 illus. in color.)
Series:	International Series in Operations Research & Management Science ; 285 Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-39415-8 ; 978-3-030-39414-1 ; 978-3-030-39416-5 ; 978-3-030-39417-2
Other identifiers:	10.1007/978-3-030-39415-8 [DOI]
Classification:	Betriebliche Information und Kommunikation
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012399382