Linear and nonlinear optimization

This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided into...

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Bibliographic Details
Main Authors Cottle, Richard (Author), Thapa, Mukund N. (Author)
Format Electronic eBook
LanguageEnglish
Published New York, NY : Springer New York : Imprint : Springer, 2017.
SeriesInternational series in operations research & management science ; 253.
Subjects
Business.
Operations research.
Decision making.
Mathematical models.
Mathematical optimization.
Management science.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781493970551
9781493970537
ISSN0884-8289 ;
Physical Description1 online resource (XXXI, 614 pages 58 illustrations)

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Table of Contents:
  • Chapter 1. LP Models and Applications
  • Chapter 2. Linear Equations and Inequalities
  • Chapter 3. The Simplex Algorithm
  • Chapter 4. The Simplex Algorithm Continued
  • Chapter 5. Duality and the Dual Simplex Algorithm
  • Chapter 6. Postoptimality Analysis
  • Chapter 7. Some Computational Considerations
  • Chapter 8. NLP Models and Applications
  • Chapter 9. Unconstrained Optimization
  • Chapter 10. Descent Methods
  • Chapter 11. Optimality Conditions
  • Chapter 12. Problems with Linear Constraints
  • Chapter 13. Problems with Nonlinear Constraints
  • Chapter 14. Interior-Point Methods.

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