Linear and Nonlinear Optimization

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Cottle, Richard (Author), Thapa, Mukund N. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2017.
Series:International series in operations research & management science ; 253.
Subjects:
Business.
Operations research.
Decision making.
Mathematical models.
Mathematical optimization.
Management science.
Online Access:Full text (Wentworth users only)
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.

Similar Items