Create or edit optimization options structure
options = optimset('param1',value1,'param2',value2,...)
optimset
options = optimset
options = optimset(optimfun)
options = optimset(oldopts,'param1',value1,...)
options = optimset(oldopts,newopts)
Note
optimoptions
is recommended instead
of optimset
for all solvers except
fzero
, fminbnd
,
fminsearch
, and lsqnonneg
.
options = optimset('param1',value1,'param2',value2,...)
creates an optimization options structure called options
, in
which the specified options (param
) have specified values. Any
unspecified options are set to []
(options with value
[]
indicate to use the default value for that option when you
pass options
to the optimization function). It is sufficient to
type only enough leading characters to define the option name uniquely. Case is
ignored for option names.
optimset
with no input or output arguments
displays a complete list of options with their valid values.
options = optimset
(with no input arguments)
creates an options structure options
where all fields are set to
[]
.
options = optimset(optimfun)
creates an
options structure options
with all option names and default
values relevant to the optimization function optimfun
.
options = optimset(oldopts,'param1',value1,...)
creates a copy of oldopts
, modifying the specified options with
the specified values.
options = optimset(oldopts,newopts)
combines an existing options structure, oldopts
, with a new
options structure, newopts
. Any options in
newopts
with nonempty values overwrite the corresponding old
options in oldopts
.
For more information about individual options, including their default values, see
the reference pages for the optimization functions. Optimization Options Reference provides descriptions of optimization options and
which functions use them. optimset
uses different names for
some options than optimoptions
. See Current and Legacy Option Names.
Use the command optimset(@
or
the equivalent solver
)optimset
to see
the default values of relevant optimization options for a solver. Some solvers do
not have a default value, since the default depends on the algorithm. For example,
the default value of the solver
MaxIterations
option in the
fmincon
solver is 400 for the trust-region-reflective
algorithm, but is 1000 for the interior-point algorithm.
This statement creates an optimization options structure called
options
in which the Display
option is set
to 'iter'
and the TolX
option is set to
1e-8
.
options = optimset('Display','iter','TolX',1e-8)
This statement makes a copy of the options structure called
options
, changing the value of the TolX
option and storing new values in optnew
.
optnew = optimset(options,'TolX',1e-4);
This statement returns an optimization options structure
options
that contains all the option names and default values
relevant to the function fminbnd
.
options = optimset('fminbnd')
If you only want to see the default values for fminbnd
, you can
simply type
optimset fminbnd
or equivalently
optimset('fminbnd')