Linear Programming Foundations and Extensions /

Linear Programming Foundations and Extensions /

Bibliographic Details
Main Author:	Vanderbei, Robert J. (Author)
Corporate Author:	SpringerLink (Online service)
Summary:	XXV, 471 p. 182 illus., 109 illus. in color. text
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	5th ed. 2020.
Series:	International Series in Operations Research & Management Science, 285
Subjects:	Operations research. Mathematical optimization. Software engineering. Operations Research and Decision Theory. Optimization. Software Engineering.
Online Access:	https://doi.org/10.1007/978-3-030-39415-8
Format:	Electronic Book

Table of 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.