Deeper Dive into Linear Programming and Its Applications:: mathematical models, characteristics, and examples of problem modeling. Solving linear programming problems: theoretical analysis, graphical solution of linear programming problems, and application of the Simplex method. Duality of linear programming and sensitivity analysis. Modeling and solving transportation, assignment, and network optimization problems.
Deepening and applications in Integer - Binary Programming, Optimization Conditions with equality & unequality constraints, Techniques and Applications in Optimization, Nonlinear Optimization Methods, Multi-criteria Optimization, Theory of Convex and Concave Functions - Optimization, Numerical Methods.
You can find the course page here.
Professors: A. Panagopoulos, Professor NTUA
I. Roussaki, Assistant Professor NTUA
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