Course Title

Advanced Linear Programming

Course Number

429525

Instructor Name

هادي حمد

Contact Information

[email protected]

Semester(s) and academic year(s)

First Semester 2020

Compulsory / Elective

Compulsory

The course covers advanced topics in linear programming includes: vector analysis, simplex methods,

duality and sensitivity analysis, special simplex forms, transportation and assignment problems,

game theory, revised simplex methods, parametric linear programming, and networks.

Advanced Linear Programming 429525

Chapter1             Introduction: Vectors and Matrices.

Chapter2             Duality

                              2.1         Matrix Definition of the Dual Problem

                              2.2         Optimal Dual Solution

Chapter3             Sensitivity Analysis

                              3.1         Changes in c's,  b's.

                              3.2         Adding or Deleting Constraint

                              3.3         Changes in aij's.

Chapter4             Efficient Computational Algorithms

                              4.1         Product Form of Matrices

                              4.2         Revised Simplex Method

Chapter5             Parametric Linear Programming