The default class constructor function.

Parameters

name	the name of the problem

Required fields of options:

• DerivativeLevel —  the user-defined derivative order (0, 1 or 2) to be used by a NLP solver.

Default:

1 EqualityConstraintBoundary：a relaxation factor number for equality constraints.

Compile and export symbolic expression and derivatives of all NLP functions.

Parameters

export_path	the path to export the file
varargin	variable input parameters compileConstraint ( ..., ForceExport, BuildMex ) Required Parameters for varargin: ForceExport force the export BuildMex flag whether to MEX the exported file

Compile and export symbolic expression and derivatives of all NLP functions.

Parameters

export_path	the path to export the file
varargin	variable input parameters compileObjective ( ..., ForceExport, BuildMex ) Required Parameters for varargin: ForceExport force the export BuildMex flag whether to MEX the exported file

This function returns an initial guess for the NLP.

Available methods

typical: uses the typical values of NLP variables. random: randomly generates the initial guess. This method generate uniformally distributed random values within the boundaries of NLP variables. previous: returns the previous solution as the initial guess

Parameters

method

specifies the method how to generate the initial guess.

The function returns the dimension, upper/lower limits of NLP variables.

Return values

nVar	the total dimension of all NLP variables
lowerbound	the lower limits
upperbound	the upper limits

This method registers the information of a NLP function as a constraint.

Note

We always assume 'funcs' to be a 2-D array of objects or table consists of array objects. It also covers 1-D array or scalar variables.

See also

NlpFunction

Parameters

funcs

a list of contraint functions new NLP variables

Generated fields of obj:

This method registers the information of a NLP function as a cost function.

Note

We always assume 'funcs' to be a 2-D array of objects or table consists of array objects. It also covers 1-D array or scalar variables.

See also

NlpFunction

Parameters

funcs

a list of objective functions new NLP variables

Generated fields of obj:

This method registers the information of an optimization variable.

Note

We always assume 'vars' to be a 2-D array of objects or table consists of array objects. It also covers 1-D array or scalar variables.

Parameters

vars	new NLP variables

Generated fields of obj:

Sets the object options, and return the complete list of option structure including unchanged default options.

Parameters

varargin

name-value pairs of option field value

Return values

options

the complete list of final option structure

Generated fields of obj:

Updates the NLP problems before load it to NLP solver.

A cell array data stores all constraints functions.

Note

This property has non-standard access specifiers: SetAccess = Protected, GetAccess = Public

Matlab documentation of property attributes.

An array data stores objective functions.

Note

This property has non-standard access specifiers: SetAccess = Protected, GetAccess = Public

Matlab documentation of property attributes.

The name of the problem.

Note

This property has non-standard access specifiers: SetAccess = Protected, GetAccess = Public

Matlab documentation of property attributes.

The class option.

Note

This property has non-standard access specifiers: SetAccess = Protected, GetAccess = Public

Matlab documentation of property attributes.

The solution of the NLP problem.

An array contains all information regarding NLP optimization variables.

Note

This property has non-standard access specifiers: SetAccess = Protected, GetAccess = Public

Matlab documentation of property attributes.