Authors describe more general problems, thus presenting the MATLAB optimization tool for Quadratic Programming and for Nonlinear Programming. Finally, the authors deal with multi-objective optimization problems, describing how to reformulate them as single-objective optimization problems and constructing the efficient frontier. An optimization problem is a problem in which one wants to minimize or maximize a quantity represented by a real function, whose variables could be constrained to belong to a fixed set. In this section we provide basic elements on constrained optimization, focusing on how to identify the main types of optimization problems covered in this book and how to solve them using MATLAB. In this chapter, the authors provide basic elements on constrained optimization, focusing on how to identify the main types of optimization problems covered in this chapter and how to solve them using MATLAB.