This is documentation for Mathematica 7, which was
based on an earlier version of the Wolfram Language.

# NArgMin

 NArgMin[f, x]gives a position xmin at which f is numerically minimized. NArgMin[f, {x, y, ...}]gives a position {xmin, ymin, ...} at which f is numerically minimized. NArgMin[{f, cons}, {x, y, ...}]gives a position at which f is numerically minimized subject to the constraints cons.
• NArgMin returns a list of the form {xmin, ymin, ...}.
• NArgMin[..., {x, y, ...}] is effectively equivalent to {x, y, ...}/.Last[NMinimize[..., {x, y, ...}, ...].
• cons can contain equations, inequalities or logical combinations of these.
• NArgMin always attempts to find a global minimum of f subject to the constraints given.
• By default, all variables are assumed to be real.
• can be used to specify that a variable can take on only integer values.
• If f and cons are linear, NArgMin can always find global minima, over both real and integer values.
• Otherwise, NArgMin may sometimes find only a local minimum.
Find a minimizer point for a univariate function:
Find a minimizer point for a multivariate function:
Find a minimizer point for a function subject to constraints:
Find a minimizer point for a univariate function:
 Out[1]=

Find a minimizer point for a multivariate function:
 Out[1]=

Find a minimizer point for a function subject to constraints:
 Out[1]=
 Applications   (2)
Find the lengths of sides of a unit area rectangle with minimal perimeter:
Find the lengths of sides of a unit area triangle with minimal perimeter:
NMinimize gives both the value of the minimum and the minimizer point:
NArgMin gives the minimizer point:
NMinValue gives the minimum:
The objective function may be unbounded:
There may be no points satisfying the constraints:
New in 7