The function **fmin(' function', start, finish)**
will attempt to return the minimum of

An optional fourth argument may be given; this is a vector
of options (see **help foptions**). The relevant options for
**fmin** are the first, second, and fourteenth elements in the
vector. If and only if element 1 is nonzero, the intermediate
steps are displayed (default is 0). Element 2 gives the termination
tolerance in the function argument (default ). Element 14
gives the maximum number of steps (default 500). The other elements
of the options vector are ignored.

If *function* takes more than one argument, the others may be
specified as constant parameters by
**fmin(' function', start, finish, options,
first parameter, second parameter...)**. This minimizes

A function of more than one variable may be similarly minimized with
**fmins**, which uses a simplex search. The basic form is
**fmins(' function', v)**, which looks for a local minimum near
the vector

A vector of options may be passed to **fmins** exactly as to **fmin**,
with the same meanings and defaults. Parameters may also be passed to
**fmins** as to **fmin**, except that there is a mandatory empty
matrix argument between the options vector and the first parameter.

To maximize a function, minimize its negative.

The function **fzero(' function', x)** seeks a zero of

See **help optim** for the contents of the Optimization Toolbox.

Sat Mar 21 21:42:28 EST 1998