1- Multivariate functions, partial derivatives, Taylor's expansion
2- Stationary points, relative minimum and maximum, saddle points
3- Quadratic functions, least-squares problem
4- Gradient method, Newton's method
5-Constrained optimization, the linear case, the general case with Karush-Kuhn-Tucker theorem and Lagrange's multipiers, active or inactive constraints