Continuous optimization
Continuous optimization is a branch of optimization in applied mathematics.
As opposed to discrete optimization, the variables used in the objective function are required to be continuous variables—that is, to be chosen from a set of real values between which there are no gaps. Because of this continuity assumption, continuous optimization allows the use of calculus techniques.
