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Optimization Modeling With LINDO

TLDR
In this article, the LINDO program is used to solve the problem of linear program solvers on the computer, and the model formulation process is described as follows: Covering, Staffing, and Cutting Stock Models, Multiperiod Planning Problems, Blending of Input Materials, Decision Making Under Uncertainty and Stochastic LP.
Abstract
1. What is Linear Programming? 2. Solving LPS on the Computer: The LINDO Program 3. Sensitivity Analysis of LP Solutions 4. The Model Formulation Process 5. Product Mix Problems 6. Covering, Staffing, and Cutting Stock Models 7. Networks, Distribution, and PERT/CPM 8. Multiperiod Planning Problems 9. Blending of Input Materials 10. Decision Making Under Uncertainty and Stochastic LP 11. Economic Equilibria as LPs 12. Game Theory 13. Quadratic Programming 14. Formulating and Solving Integer Programs 15. Application to Statistical Estimation 16. Design and Implementation of Optimization-Based Decision Support Systems 17. Multiple Criteria and Goal Programming 18. Parametric Analysis 19. Methods for Solving Linear Programs References / Index

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