1. Introduction 2. An Introduction to Linear Programming 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution 4. Linear Programming Applications in Marketing, Finance and Operations Management 5. Advanced Linear Programming Applications 6. Distribution and Network Models 7. Integer Linear Programming 8. Nonlinear Optimization Models 9. Project Scheduling: PERT/CPM 10. Inventory Models 11. Waiting Line Models 12. Simulation 13. Decision Analysis 14. Multicriteria Decision Problems 15. Forecasting 16. Markov Processes 17. Linear Programming: The Simplex Method 18. Simplex-Based Sensitivity Analysis and Duality 19. Solution Procedures for Transportation and Assignment Problems 20. Minimal Spanning Tree 21. Dynamic Programming Appendix A: Building Spreadsheet Models

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jordancarter 6 months ago

This study guide is clear, well-organized, and covers all the essential topics. The explanations are concise, making complex concepts easier to understand. It could benefit from more practice questions, but overall, it's a great resource for efficient studying. Highly recommend!

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