Selected 500-Level Courses

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EG/M510 Linear Programming and Networks

Credits -- 3 (3-0-0)
Term Offered -- Spring
Prerequisite -- M261 or M315
Possible Text --
R. B. Darst, Introduction to Linear Programming: Applications and Extensions, Marcel-Dekker, 1991
Topics --
  1. Examples of problems to which LP applies: production, diet, and transportation problems.
  2. Duality.
  3. Properties of the feasible set for an LP; basic feasible solutions.
  4. An introduction to the simplex method
    1. Notation
    2. Pertinent Algebra
    3. The Simplex Tableau
    4. Reduced Costs
    5. Conditions for Optimality
    6. The Objective Function
    7. Simplex Method Pivoting
    8. When No Optimal Solution Exists
    9. Multiple Solutions
    10. Degeneracy
    11. Phase One
    12. The Revised Simplex Method
    13. Stability and Sensitivity
  5. Multiperiod Problems
  6. Integer Variables
  7. Transportation Problems
  8. Networks
  9. Out of Kilter Formulation
  10. Kuhn-Tucker Conditions
  11. Primal-Dual Method
  12. Quadratic Programming
  13. Dynamic Programming
  14. Network Algorithms
    1. Longest Path Algorithm
    2. Shortest Path Algorithm
    3. Minimal Spanning Tree Algorithm
    4. Max (Simple) Path Flow Algorithm
    5. Residual Digraph
    6. Max Flow Algorithm
    7. Min Cost Flows: Transportation and Assignment Problems
    8. Min Cost Max Flow Algorithm

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Last modified on: Wednesday, 01-Sep-1999 14:51:29 MDT