- 1 Introduction to Optimization, basic optimization concepts, optimization problem
- 2 Unconstrained Optimization
- 3 Numerical Optimization
- 4 Indirect Methods: Newton Raphson, Bisection Methods and Python Applications
- 5 Direct Methods: Golden Division Method and Python Applications
- 6 Algorithms for multivariate unconstrained optimization
- 7 1st order methods
- 8 Steepest Descent, Conjugate Gradient methods
- 9 2nd order methods, Newtonian and Newtonian-like methods
- 10 Non-gradient methods, Regression
- 11 Linear and Nonlinear Models
- 12 SISO artificial neural network model and Python applications
- 13 MIMO artificial neural network model and Python applications
-
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