NArgMin
NArgMin[f, x] gives a position xmin at which f is numerically globally minimized.
NArgMin[f, {x, y, ...}] gives a position {xmin, ymin, ...} at which f is minimized.
NArgMin[{f, cons}, {x, y, ...}] gives a position minimizing f subject to constraints cons.
Examples
Find minimum location:
NArgMin[x^2 - 4 x + 5, x]
(* 2. *)With constraints:
NArgMin[{x + y, x >= 0, y >= 0, x + y >= 1}, {x, y}]
(* {0., 1.} *)Please visit the official Wolfram Language Reference for more details.