Numerical-Optimization

Numerical optimization course study questions and codes

Topics

• 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