Linear programming : foundations and extensions /: foundations and extensions. ([2020])

• Record Type: Book
• Further Information: Note: Robert J. Vanderbei.
• Authors: Vanderbei, Robert J
• Contents: 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.
• Edition: Fifth edition
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (477 pages)
• Subjects: 519.72; Linear programming; Mathematical optimization; Electronic books
• Languages: English
• ISBNs: 3030394158; 9783030394158
• Related ISBNs: 9783030394141
• Notes: Note: Includes bibliographical references and index.; Note: Description based on print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.