Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.
See the recommended documentation of this function
optimget
Queries an optimization data structure.
Syntax
val = optimget ( options , key ) val = optimget ( options , key , value )
Description
This function allows to make queries on an existing optimization
            data structure. This data structure must have been created and updated by
            the optimset function. The optimget
            allows to retrieve the value associated with a given key.
In the following, we analyse the various ways to call the optimget function.
The following syntax
val = optimget(options , key)
returns the value associated with the given key.
            The key is expected to be a string. We search the
            key among the list of all possible fields in the
            options data structure. In this search, the case is
            ignored. The key which matches a possible field is
            returned. Some letters of the field may be dropped, provided that the
            matching field is unique. For example, the key "MaxF" corresponds to the
            field "MaxFunEval". But the key "Tol" corresponds both to the "TolX" and
            "TolFun" fields and therefore will generate an error.
The following syntax
val = optimget(options, key, value)
allows to manage default value for optimization parameters. Indeed,
            if the field corresponding to the key is empty (i.e.
            has not been set by the user), the input argument value
            is returned. Instead, if the field corresponding the key is not empty
            (i.e. has been set by the user), the parameter stored in the options
            argument is returned.
Arguments
- options
- A struct which contains the optimization fields. 
- key
- A string corresponding to a field of the optimization structure. 
- value
- A real default value. 
- val
- The real value corresponding to the key. 
Example #1
In the following example, we create an optimization structure and
            set the "TolX" field to 1.e-12. Then we use optimget to
            get back the value.
Example #2
In the following example, we create an empty optimization structure.
            Then we use optimget to get back the value
            corresponding to the "TolX" field, with 1.e-5 as the default value. Since
            the field is empty, we retrieve 1.e-5.
op = optimset(); val = optimget(op,'TolX' , 1.e-5); // val = 1.e-5
Example #3
In the following example, we create an optimization structure and
            set the "TolX" field to 1.e-12. Then we use optimget to
            get back the value corresponding to the "TolX" field, with 1.e-5 as the
            default value. Since the field is not empty, we retrieve 1.e-12.
Example #4
In the following example, we create an optimization structure and
            configure the maximum number of function evaluations to 1000. Then we
            query the data structure, giving only the "MaxF" key to the
            optimget function. Since that corresponds only to the
            "MaxFunEvals" field, there is only one match and the function returns
            10000.
See also
- optimset — Configures and returns an optimization data structure.
| Report an issue | ||
| << nmplot | Neldermead | optimplotfunccount >> |