1. Home
  2. E-Book
  3. Linear Programming

Linear Programming by Jim Burke

Linear Programming

Linear Programming by Jim Burke
Linear Programming by Jim Burke
Publisher: University of Washington 2012
An introductory course in linear programming. The four basic components of the course are modeling, solution methodology, duality theory, and sensitivity analysis. We focus on the simplex algorithm due to George Dantzig since it offers a complete framework for discussing both the geometry and duality theory for linear programs.
Mathematics Applied Optimization
Go To Read/Download Page
Home Page

More Free E-Books For Optimization

Similar Books For Optimization

1. An Introduction to Nonlinear Optimization Theory by Marius Durea, Radu Strugariu
2. Universal Optimization and Its Application by Alexander Bolonkin
3. Optimization Algorithms: Methods and Applications by Ozgur Baskan (ed.)
4. Decision Making and Productivity Measurement by Dariush Khezrimotlagh
5. A Practical Guide to Robust Optimization by Bram L. Gorissen, Ihsan Yanıkoğlu, Dick den Hertog
6. Optimization Models For Decision Making by Katta G. Murty
7. Linear Programming by Jim Burke
8. Discrete Optimization by Guido Schaefer
9. Iterative Methods in Combinatorial Optimization by Lap Chi Lau, R. Ravi, M. Singh
10. Advanced Graph Theory and Combinatorial Optimization by Alexander Schrijver
11. A Course in Combinatorial Optimization by Alexander Schrijver
12. Design, Evaluation and Analysis of Combinatorial Optimization Heuristic Algorithms by Daniel Karapetyan
13. Robust Optimization by A. Ben-Tal, L. El Ghaoui, A. Nemirovski
14. Lectures on Optimization: Theory and Algorithms by John Cea
15. Iterative Methods for Optimization by C.T. Kelley
16. Applied Mathematical Programming Using Algebraic Systems by Bruce A. McCarl, Thomas H. Spreen
17. Combinatorial Optimization: Exact and Approximate Algorithms by Luca Trevisan
18. Optimal Stopping and Applications by Thomas S. Ferguson
19. The Design of Approximation Algorithms by D. P. Williamson, D. B. Shmoys
20. Applied Mathematical Programming by S. Bradley, A. Hax, T. Magnanti
21. Linear Complementarity, Linear and Nonlinear Programming by Katta G. Murty
22. Optimization and Dynamical Systems by U. Helmke, J. B. Moore
23. Notes on Optimization by Pravin Varaiya
24. Linear Optimisation and Numerical Analysis by Ian Craw
25. Optimization Algorithms on Matrix Manifolds by P.-A. Absil, R. Mahony, R. Sepulchre
26. Convex Optimization by Stephen Boyd, Lieven Vandenberghe

Free E-Books For Mathematics
Free E-Books For Applied
Free E-Books For Optimization



Categories