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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