Editing Numerical analysis (section)

===Optimization===
{{Main|Mathematical optimization}}

Optimization problems ask for the point at which a given function is maximized (or minimized). Often, the point also has to satisfy some [[Constraint (mathematics)|constraint]]s.

The field of optimization is further split in several subfields, depending on the form of the [[objective function]] and the constraint. For instance, [[linear programming]] deals with the case that both the objective function and the constraints are linear. A famous method in linear programming is the [[simplex algorithm|simplex method]].

The method of [[Lagrange multipliers]] can be used to reduce optimization problems with constraints to unconstrained optimization problems.