• Produktbild: Linear Programming: Foundations and Extensions
  • Produktbild: Linear Programming: Foundations and Extensions
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Linear Programming: Foundations and Extensions

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

31.12.1996

Abbildungen

XVIII, 418 p.

Verlag

Springer Us

Seitenzahl

418

Maße (L/B/H)

24,1/16/2,9 cm

Gewicht

822 g

Auflage

1997 edition

Sprache

Englisch

ISBN

978-0-7923-9804-2

Beschreibung

Rezension

`
Vanderbei's book is thoroughly modern. Vanderbei's book has many novel features. Some nice features. This book has style. Overall, I greatly enjoyed reviewing this book, and I highly recommend it as a textbook for an advanced undergraduate or master's level course in linear programming, particularly for courses in an engineering environment. In addition, it also is a good reference book for interior point methods as well as for implementation and computational aspects of linear programming. This is an excellent new book.
'




Robert Freund,
(MIT) in
Optima, 56 (1997)




`
In conclusion, Vanderbei's book gives an excellent introduction to linear programminbg, especially the algorithmic side of the subject. The book is highly recommended for both self study and as teaching material.
'




Optima, 58 (1998)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

31.12.1996

Abbildungen

XVIII, 418 p.

Verlag

Springer Us

Seitenzahl

418

Maße (L/B/H)

24,1/16/2,9 cm

Gewicht

822 g

Auflage

1997 edition

Sprache

Englisch

ISBN

978-0-7923-9804-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Linear Programming: Foundations and Extensions
  • Produktbild: Linear Programming: Foundations and Extensions
  • Preface. Part 1: Basic Theory - The Simplex Method and Duality. 1. Introduction. 2. The Simplex Method. 3. Degeneracy. 4. Efficiency of the Simplex Method. 5. Duality Theory. 6. The Simplex Method in Matrix Notation. 7. Sensitivity and Parametric Analyses. 8. Implementation Issues. 9. Problems in General Form. 10. Convex Analysis. 11. Game Theory. 12. Regression. Part 2: Network-Type Problems. 13. Network Flow Problems. 14. Applications. 15. Structural Optimization. Part 3: Interior-Point Methods. 16. The Central Path. 17. A Path-Following Method. 18. The KKT System. 19. Implementation Issues. 20. The Affine-Scaling Method. 21. The Homogeneous Self-Dual Method. Part 4: Extensions. 22. Integer Programming. 23. Quadratic Programming. 24. Convex Programming. Appendix A: Source Listings. Answers to Selected Exercises. Bibliography. Index.