Akademik Dersler - İçerik

Explain theoritic principal of nonlinear programming (NLP)
Explain basic notion about NLP
Distinguish convex and nonconvex sets and functions
Align necessary and sufficient conditions for local optimal
Use analytic solution methods for nonlinear optimization problems
Analyze general nonlinear programming problems
Solve one variable NLP problems by analytic
Solve multi variable NLP problems by analytic
Explain Lagrange multiplier
Examine Kuhn-Tucker conditions
Use the solution method for some NLP models
Solve one and multi variable NLP problems by numerical analysis techniques
Solve convex programming problems by Frank-Wolfe algorithm
Utilise sequential unconstrained minimization technique in convex programming problems
Utilise computer software for solving models
Use GAMS software
Use Excel tables