# Optimización global

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The process of solving a problem finding a global (as opposed to a local) minimum or maximum of a function by widely searching in a model space.

## Optimization (numerical optimization)

Many problems involve the search for a solution through a process that may be an

iterative search
for a solution vector ${\displaystyle x}$ in ${\displaystyle n}$-variables called the unknowns,
through the maximization or minimization of a scalar valued function ${\displaystyle f(x)}$ called the objective function
which may be subject to ${\displaystyle m}$ constraints ${\displaystyle C_{j}(x)}$ where ${\displaystyle j=1,...,m}$ which the vector of unknowns must satisfy.

It is desired that the process converge sufficiently rapidly as to be economical, and that the resulting solution be sufficiently precise.