#include <optistack.hpp>

Detailed Description

Definition at line 521 of file optistack.hpp.

Inheritance diagram for casadi::OptiAdvanced:

[legend]

Public Member Functions
	OptiAdvanced (const Opti &x)

	~OptiAdvanced ()
	Destructor. More...

Function	casadi_solver () const
	Get the underlying CasADi solver of the Opti stack. More...

bool	is_parametric (const MX &expr) const
	return true if expression is only dependant on Opti parameters, not variables More...

MetaCon	canon_expr (const MX &expr) const
	Interpret an expression (for internal use only) More...

MetaVar	get_meta (const MX &m) const
	Get meta-data of symbol (for internal use only) More...

MetaCon	get_meta_con (const MX &m) const
	Get meta-data of symbol (for internal use only) More...

void	set_meta (const MX &m, const MetaVar &meta)
	Set meta-data of an expression. More...

void	set_meta_con (const MX &m, const MetaCon &meta)
	Set meta-data of an expression. More...

void	assert_active_symbol (const MX &m) const

std::vector< MX >	active_symvar (VariableType type) const

std::vector< DM >	active_values (VariableType type) const

MX	x_lookup (casadi_index i) const

MX	g_lookup (casadi_index i) const

std::string	x_describe (casadi_index i) const

std::string	g_describe (casadi_index i) const

std::string	describe (const MX &x, casadi_index indent=0) const

void	show_infeasibilities (double tol=0) const

void	solve_prepare ()

DMDict	solve_actual (const DMDict &args)

DMDict	arg () const

void	res (const DMDict &res)

DMDict	res () const

std::vector< MX >	constraints () const

MX	objective () const

OptiAdvanced	baked_copy () const

void	assert_empty () const

void	bake ()
	Fix the structure of the optimization problem. More...

void	mark_problem_dirty (bool flag=true)

bool	problem_dirty () const

void	mark_solver_dirty (bool flag=true)

bool	solver_dirty () const

void	mark_solved (bool flag=true)

bool	solved () const

void	assert_solved () const

void	assert_baked () const

casadi_int	instance_number () const

MX	variable (casadi_int n=1, casadi_int m=1, const std::string &attribute="full")
	Create a decision variable (symbol) More...

MX	parameter (casadi_int n=1, casadi_int m=1, const std::string &attribute="full")
	Create a parameter (symbol); fixed during optimization. More...

void	minimize (const MX &f)
	Set objective. More...

void	subject_to ()
	Clear constraints. More...

void	solver (const std::string &solver, const Dict &plugin_options=Dict(), const Dict &solver_options=Dict())
	Set a solver. More...

OptiSol	solve ()
	Crunch the numbers; solve the problem. More...

OptiSol	solve_limited ()
	Crunch the numbers; solve the problem. More...

Dict	stats () const
	Get statistics. More...

std::string	return_status () const
	Get return status of solver. More...

std::vector< MX >	initial () const
	get assignment expressions for initial values More...

std::vector< MX >	value_variables () const
	get assignment expressions for latest values More...

std::vector< MX >	value_parameters () const

MX	dual (const MX &m) const
	get the dual variable More...

casadi_int	nx () const
	Number of (scalarised) decision variables. More...

casadi_int	np () const
	Number of (scalarised) parameters. More...

casadi_int	ng () const
	Number of (scalarised) constraints. More...

MX	x () const
	Get all (scalarised) decision variables as a symbolic column vector. More...

MX	p () const
	Get all (scalarised) parameters as a symbolic column vector. More...

MX	g () const
	Get all (scalarised) constraint expressions as a column vector. More...

MX	f () const
	Get objective expression. More...

MX	lbg () const
	Get all (scalarised) bounds on constraints as a column vector. More...

MX	ubg () const

MX	lam_g () const
	Get all (scalarised) dual variables as a symbolic column vector. More...

OptiAdvanced	debug () const
	Get a copy with advanced functionality. More...

OptiAdvanced	advanced () const
	Get a copy with advanced functionality. More...

Opti	copy () const
	Get a copy of the. More...

void	update_user_dict (const MX &m, const Dict &meta)
	add user data More...

void	update_user_dict (const std::vector< MX > &m, const Dict &meta)

Dict	user_dict (const MX &m) const
	Get user data. More...

std::string	type_name () const
	Readable name of the class. More...

void	disp (std::ostream &stream, bool more=false) const
	Print representation. More...

std::string	get_str (bool more=false) const
	Get string representation. More...

std::string	class_name () const
	Get class name. More...

bool	is_null () const
	Is a null pointer? More...

casadi_int	__hash__ () const
	Returns a number that is unique for a given Node. More...


std::vector< MX >	symvar () const
	Get symbols present in expression. More...

std::vector< MX >	symvar (const MX &expr) const
	Get symbols present in expression. More...

std::vector< MX >	symvar (const MX &expr, VariableType type) const
	Get symbols present in expression. More...


void	subject_to (const MX &g)
	Add constraints. More...

void	subject_to (const std::vector< MX > &g)
	Add constraints. More...


void	set_initial (const MX &x, const DM &v)

void	set_initial (const std::vector< MX > &assignments)


void	set_value (const MX &x, const DM &v)
	Set value of parameter. More...

void	set_value (const std::vector< MX > &assignments)
	Set value of parameter. More...


void	set_domain (const MX &x, const std::string &domain)
	Set domain of a decision variable. More...


native_DM	value (const MX &x, const std::vector< MX > &values=std::vector< MX >()) const

native_DM	value (const DM &x, const std::vector< MX > &values=std::vector< MX >()) const

native_DM	value (const SX &x, const std::vector< MX > &values=std::vector< MX >()) const


Function	to_function (const std::string &name, const std::vector< MX > &args, const std::vector< MX > &res, const Dict &opts=Dict())
	Create a CasADi Function from the Opti solver. More...

Function	to_function (const std::string &name, const std::vector< MX > &args, const std::vector< MX > &res, const std::vector< std::string > &name_in, const std::vector< std::string > &name_out, const Dict &opts=Dict())
	Create a CasADi Function from the Opti solver. More...

Function	to_function (const std::string &name, const std::map< std::string, MX > &dict, const std::vector< std::string > &name_in, const std::vector< std::string > &name_out, const Dict &opts=Dict())
	Create a CasADi Function from the Opti solver. More...


void	callback_class (OptiCallback *callback)
	Helper methods for callback() More...

void	callback_class ()
	Helper methods for callback() More...

Static Public Member Functions
static MX	bounded (const MX &lb, const MX &expr, const MX &ub)
	Construct a double inequality. More...

Public Attributes
bool	problem_dirty_

bool	solver_dirty_

bool	solved_

Protected Member Functions
	OptiAdvanced ()

Friends
class	InternalOptiCallback

Constructor & Destructor Documentation

◆ OptiAdvanced() [1/2]

casadi::OptiAdvanced::OptiAdvanced ( const Opti & x )

◆ ~OptiAdvanced()

casadi::OptiAdvanced::~OptiAdvanced ( )

inline

Extra doc: https://github.com/casadi/casadi/wiki/L_1t

Definition at line 530 of file optistack.hpp.

◆ OptiAdvanced() [2/2]

casadi::OptiAdvanced::OptiAdvanced ( )

inlineprotected

Definition at line 615 of file optistack.hpp.

Member Function Documentation

◆ hash()

casadi_int casadi::SharedObject::__hash__ ( ) const

inherited

If the Object does not point to any node, "0" is returned.

Extra doc: https://github.com/casadi/casadi/wiki/L_av

◆ active_symvar()

std::vector<MX> casadi::OptiAdvanced::active_symvar ( VariableType type ) const

◆ active_values()

std::vector<DM> casadi::OptiAdvanced::active_values ( VariableType type ) const

◆ advanced()

OptiAdvanced casadi::Opti::advanced ( ) const

inherited

You get access to more methods, but you have no guarantees about API stability

The copy is effectively a deep copy: Updating the state of the copy does not update the original.

Extra doc: https://github.com/casadi/casadi/wiki/L_1m

◆ arg()

DMDict casadi::OptiAdvanced::arg ( ) const

◆ assert_active_symbol()

void casadi::OptiAdvanced::assert_active_symbol ( const MX & m ) const

◆ assert_baked()

void casadi::OptiAdvanced::assert_baked ( ) const

◆ assert_empty()

void casadi::OptiAdvanced::assert_empty ( ) const

◆ assert_solved()

void casadi::OptiAdvanced::assert_solved ( ) const

◆ bake()

void casadi::OptiAdvanced::bake ( )

◆ baked_copy()

OptiAdvanced casadi::OptiAdvanced::baked_copy ( ) const

◆ bounded()

static MX casadi::Opti::bounded	(	const MX &	lb,
		const MX &	expr,
		const MX &	ub
	)

inlinestaticinherited

Constructs: lb(p) <= g(x,p) <= ub(p)

Python prohibits such syntax directly

Extra doc: https://github.com/casadi/casadi/wiki/L_1k

Definition at line 368 of file optistack.hpp.

◆ callback_class() [1/2]

void casadi::Opti::callback_class ( )

inherited

Do not use directly.

Extra doc: https://github.com/casadi/casadi/wiki/L_1p

◆ callback_class() [2/2]

void casadi::Opti::callback_class ( OptiCallback * callback )

inherited

Do not use directly.

Extra doc: https://github.com/casadi/casadi/wiki/L_1p

◆ canon_expr()

MetaCon casadi::OptiAdvanced::canon_expr ( const MX & expr ) const

◆ casadi_solver()

Function casadi::OptiAdvanced::casadi_solver ( ) const

◆ class_name()

std::string casadi::SharedObject::class_name ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_au

◆ constraints()

std::vector<MX> casadi::OptiAdvanced::constraints ( ) const

◆ copy()

Opti casadi::Opti::copy ( ) const

inherited

The copy is effectively a deep copy: Updating the state of the copy does not update the original.

Extra doc: https://github.com/casadi/casadi/wiki/L_1n

◆ debug()

OptiAdvanced casadi::Opti::debug ( ) const

inherited

You get access to more methods, but you have no guarantees about API stability

The copy is effectively a deep copy: Updating the state of the copy does not update the original.

Extra doc: https://github.com/casadi/casadi/wiki/L_1l

◆ describe()

std::string casadi::OptiAdvanced::describe	(	const MX &	x,
		casadi_index	indent = `0`
	)		const

◆ disp()

void casadi::Opti::disp	(	std::ostream &	stream,
		bool	more = `false`
	)		const

inherited

◆ dual()

MX casadi::Opti::dual ( const MX & m ) const

inherited

m must be a constraint expression. The returned value is still a symbolic expression. Use value on it to obtain the numerical value.

Extra doc: https://github.com/casadi/casadi/wiki/L_1h

◆ f()

MX casadi::Opti::f ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_26e

◆ g()

MX casadi::Opti::g ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_26d

◆ g_describe()

std::string casadi::OptiAdvanced::g_describe ( casadi_index i ) const

◆ g_lookup()

MX casadi::OptiAdvanced::g_lookup ( casadi_index i ) const

◆ get_meta()

MetaVar casadi::OptiAdvanced::get_meta ( const MX & m ) const

◆ get_meta_con()

MetaCon casadi::OptiAdvanced::get_meta_con ( const MX & m ) const

◆ get_str()

std::string casadi::Opti::get_str ( bool more = false ) const

inherited

◆ initial()

std::vector<MX> casadi::Opti::initial ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_266

◆ instance_number()

casadi_int casadi::OptiAdvanced::instance_number ( ) const

◆ is_null()

bool casadi::SharedObject::is_null ( ) const

inherited

◆ is_parametric()

bool casadi::OptiAdvanced::is_parametric ( const MX & expr ) const

◆ lam_g()

MX casadi::Opti::lam_g ( ) const

inherited

Useful for obtaining the Lagrange Hessian:

* sol.value(hessian(opti.f+opti.lam_g'*opti.g,opti.x)) % MATLAB
* sol.value(hessian(opti.f+dot(opti.lam_g,opti.g),opti.x)[0]) # Python
*

Extra doc: https://github.com/casadi/casadi/wiki/L_1i

◆ lbg()

MX casadi::Opti::lbg ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_26f

◆ mark_problem_dirty()

void casadi::OptiAdvanced::mark_problem_dirty ( bool flag = true )

◆ mark_solved()

void casadi::OptiAdvanced::mark_solved ( bool flag = true )

◆ mark_solver_dirty()

void casadi::OptiAdvanced::mark_solver_dirty ( bool flag = true )

◆ minimize()

void casadi::Opti::minimize ( const MX & f )

inherited

Objective must be a scalar. Default objective: 0 When method is called multiple times, the last call takes effect

Extra doc: https://github.com/casadi/casadi/wiki/L_1a

◆ ng()

casadi_int casadi::Opti::ng ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_26a

◆ np()

casadi_int casadi::Opti::np ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_269

◆ nx()

casadi_int casadi::Opti::nx ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_268

◆ objective()

MX casadi::OptiAdvanced::objective ( ) const

◆ p()

MX casadi::Opti::p ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_26c

◆ parameter()

MX casadi::Opti::parameter	(	casadi_int	n = `1`,
		casadi_int	m = `1`,
		const std::string &	attribute = `"full"`
	)

inherited

The order of creation does not matter. It is not required for parameter to actualy appear in the optimization problem. Parameters that do appear, must be given a value before the problem can be solved.

Parameters

[in]	n	number of rows (default 1)
[in]	m	number of columnss (default 1)
[in]	attribute	'full' (default) or 'symmetric'

Extra doc: https://github.com/casadi/casadi/wiki/L_19

◆ problem_dirty()

bool casadi::OptiAdvanced::problem_dirty ( ) const

◆ res() [1/2]

DMDict casadi::OptiAdvanced::res ( ) const

◆ res() [2/2]

void casadi::OptiAdvanced::res ( const DMDict & res )

◆ return_status()

std::string casadi::Opti::return_status ( ) const

inherited

   passed as-is from nlpsol

No stability can be guaranteed about this part of the API

Extra doc: https://github.com/casadi/casadi/wiki/L_1g

◆ set_domain()

void casadi::Opti::set_domain	(	const MX &	x,
		const std::string &	domain
	)

inherited

Parameters

[in]	x	decision variable
[in]	type	'real', 'integer' (default: real)

* opti.set_domain(x, "real")
* opti.set_domain(x, "integer")
*

Extra doc: https://github.com/casadi/casadi/wiki/L_27t

◆ set_initial() [1/2]

void casadi::Opti::set_initial	(	const MX &	x,
		const DM &	v
	)

inherited

Set initial guess for decision variables

* opti.set_initial(x, 2)
* opti.set_initial(10*x(1), 2)
*

◆ set_initial() [2/2]

void casadi::Opti::set_initial ( const std::vector< MX > & assignments )

inherited

Set initial guess for decision variables

* opti.set_initial(x, 2)
* opti.set_initial(10*x(1), 2)
*

◆ set_meta()

void casadi::OptiAdvanced::set_meta	(	const MX &	m,
		const MetaVar &	meta
	)

◆ set_meta_con()

void casadi::OptiAdvanced::set_meta_con	(	const MX &	m,
		const MetaCon &	meta
	)

◆ set_value() [1/2]

void casadi::Opti::set_value	(	const MX &	x,
		const DM &	v
	)

inherited

Each parameter must be given a value before 'solve' can be called

Extra doc: https://github.com/casadi/casadi/wiki/L_1d

◆ set_value() [2/2]

void casadi::Opti::set_value ( const std::vector< MX > & assignments )

inherited

Each parameter must be given a value before 'solve' can be called

Extra doc: https://github.com/casadi/casadi/wiki/L_1d

◆ show_infeasibilities()

void casadi::OptiAdvanced::show_infeasibilities ( double tol = 0 ) const

◆ solve()

OptiSol casadi::Opti::solve ( )

inherited

◆ solve_actual()

DMDict casadi::OptiAdvanced::solve_actual ( const DMDict & args )

◆ solve_limited()

OptiSol casadi::Opti::solve_limited ( )

inherited

Allows the solver to return without error when an iteration or time limit is reached

Extra doc: https://github.com/casadi/casadi/wiki/L_1e

◆ solve_prepare()

void casadi::OptiAdvanced::solve_prepare ( )

◆ solved()

bool casadi::OptiAdvanced::solved ( ) const

◆ solver()

void casadi::Opti::solver	(	const std::string &	solver,
		const Dict &	plugin_options = `Dict()`,
		const Dict &	solver_options = `Dict()`
	)

inherited

Parameters

[in]	solver	any of the nlpsol plugins can be used here In practice, not all nlpsol plugins may be supported yet
[in]	options	passed on to nlpsol plugin No stability can be guaranteed about this part of the API
[in]	options	to be passed to nlpsol solver No stability can be guaranteed about this part of the API

Extra doc: https://github.com/casadi/casadi/wiki/L_1c

◆ solver_dirty()

bool casadi::OptiAdvanced::solver_dirty ( ) const

◆ stats()

Dict casadi::Opti::stats ( ) const

inherited

nlpsol stats are passed as-is. No stability can be guaranteed about this part of the API

Extra doc: https://github.com/casadi/casadi/wiki/L_1f

◆ subject_to() [1/3]

void casadi::Opti::subject_to ( )

inherited

◆ subject_to() [2/3]

void casadi::Opti::subject_to ( const MX & g )

inherited

Examples:

* \begin{itemize}
* opti.subject_to( sqrt(x+y) >= 1);
* opti.subject_to( sqrt(x+y) > 1)}: same as above
* opti.subject_to( 1<= sqrt(x+y) )}: same as above
* opti.subject_to( 5*x+y==1 )}: equality
*
* Python
* opti.subject_to([x*y>=1,x==3])
* opti.subject_to(opti.bounded(0,x,1))
*
* MATLAB
* opti.subject_to({x*y>=1,x==3})
* opti.subject_to( 0<=x<=1 )
*

Related functionalities:

opti.lbg,opti.g,opti.ubg represent the vector of flattened constraints
opti.debug.show_infeasibilities() may be used to inspect which constraints are violated

Extra doc: https://github.com/casadi/casadi/wiki/L_1b

◆ subject_to() [3/3]

void casadi::Opti::subject_to ( const std::vector< MX > & g )

inherited

Examples:

* \begin{itemize}
* opti.subject_to( sqrt(x+y) >= 1);
* opti.subject_to( sqrt(x+y) > 1)}: same as above
* opti.subject_to( 1<= sqrt(x+y) )}: same as above
* opti.subject_to( 5*x+y==1 )}: equality
*
* Python
* opti.subject_to([x*y>=1,x==3])
* opti.subject_to(opti.bounded(0,x,1))
*
* MATLAB
* opti.subject_to({x*y>=1,x==3})
* opti.subject_to( 0<=x<=1 )
*

Related functionalities:

opti.lbg,opti.g,opti.ubg represent the vector of flattened constraints
opti.debug.show_infeasibilities() may be used to inspect which constraints are violated

Extra doc: https://github.com/casadi/casadi/wiki/L_1b

◆ symvar() [1/3]

std::vector<MX> casadi::OptiAdvanced::symvar ( ) const

Returned vector is ordered according to the order of variable()/parameter() calls used to create the variables

Extra doc: https://github.com/casadi/casadi/wiki/L_1u

◆ symvar() [2/3]

std::vector<MX> casadi::OptiAdvanced::symvar ( const MX & expr ) const

Returned vector is ordered according to the order of variable()/parameter() calls used to create the variables

Extra doc: https://github.com/casadi/casadi/wiki/L_1u

◆ symvar() [3/3]

std::vector<MX> casadi::OptiAdvanced::symvar	(	const MX &	expr,
		VariableType	type
	)		const

Returned vector is ordered according to the order of variable()/parameter() calls used to create the variables

Extra doc: https://github.com/casadi/casadi/wiki/L_1u

◆ to_function() [1/3]

Function casadi::Opti::to_function	(	const std::string &	name,
		const std::map< std::string, MX > &	dict,
		const std::vector< std::string > &	name_in,
		const std::vector< std::string > &	name_out,
		const Dict &	opts = `Dict()`
	)

inherited

Parameters

[in]	name	Name of the resulting CasADi Function
[in]	args	List of parameters and decision/dual variables (which can be given an initial guess) with the resulting Function
[in]	res	List of expressions that will get evaluated at the optimal solution
[in]	opts	Standard CasADi Funcion options

Extra doc: https://github.com/casadi/casadi/wiki/L_1j

◆ to_function() [2/3]

Function casadi::Opti::to_function	(	const std::string &	name,
		const std::vector< MX > &	args,
		const std::vector< MX > &	res,
		const Dict &	opts = `Dict()`
	)

inherited

Parameters

[in]	name	Name of the resulting CasADi Function
[in]	args	List of parameters and decision/dual variables (which can be given an initial guess) with the resulting Function
[in]	res	List of expressions that will get evaluated at the optimal solution
[in]	opts	Standard CasADi Funcion options

Extra doc: https://github.com/casadi/casadi/wiki/L_1j

◆ to_function() [3/3]

Function casadi::Opti::to_function	(	const std::string &	name,
		const std::vector< MX > &	args,
		const std::vector< MX > &	res,
		const std::vector< std::string > &	name_in,
		const std::vector< std::string > &	name_out,
		const Dict &	opts = `Dict()`
	)

inherited

Parameters

[in]	name	Name of the resulting CasADi Function
[in]	args	List of parameters and decision/dual variables (which can be given an initial guess) with the resulting Function
[in]	res	List of expressions that will get evaluated at the optimal solution
[in]	opts	Standard CasADi Funcion options

Extra doc: https://github.com/casadi/casadi/wiki/L_1j

◆ type_name()

std::string casadi::Opti::type_name ( ) const

inlineinherited

Definition at line 411 of file optistack.hpp.

◆ ubg()

MX casadi::Opti::ubg ( ) const

inherited

◆ update_user_dict() [1/2]

void casadi::Opti::update_user_dict	(	const MX &	m,
		const Dict &	meta
	)

inherited

Add arbitrary data in the form of a dictionary to symbols or constraints

Extra doc: https://github.com/casadi/casadi/wiki/L_1o

◆ update_user_dict() [2/2]

void casadi::Opti::update_user_dict	(	const std::vector< MX > &	m,
		const Dict &	meta
	)

inherited

◆ user_dict()

Dict casadi::Opti::user_dict ( const MX & m ) const

inherited

◆ value() [1/3]

native_DM casadi::Opti::value	(	const DM &	x,
		const std::vector< MX > &	values = `std::vector< MX >()`
	)		const

inherited

Obtain value of expression at the current value

In regular mode, teh current value is the converged solution In debug mode, the value can be non-converged

Parameters

[in] values Optional assignment expressions (e.g. x==3) to overrule the current value

◆ value() [2/3]

native_DM casadi::Opti::value	(	const MX &	x,
		const std::vector< MX > &	values = `std::vector< MX >()`
	)		const

inherited

Obtain value of expression at the current value

In regular mode, teh current value is the converged solution In debug mode, the value can be non-converged

Parameters

[in] values Optional assignment expressions (e.g. x==3) to overrule the current value

◆ value() [3/3]

native_DM casadi::Opti::value	(	const SX &	x,
		const std::vector< MX > &	values = `std::vector< MX >()`
	)		const

inherited

Obtain value of expression at the current value

In regular mode, teh current value is the converged solution In debug mode, the value can be non-converged

Parameters

[in] values Optional assignment expressions (e.g. x==3) to overrule the current value

◆ value_parameters()

std::vector<MX> casadi::Opti::value_parameters ( ) const

inherited

◆ value_variables()

std::vector<MX> casadi::Opti::value_variables ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_267

◆ variable()

MX casadi::Opti::variable	(	casadi_int	n = `1`,
		casadi_int	m = `1`,
		const std::string &	attribute = `"full"`
	)

inherited

The order of creation matters. The order will be reflected in the optimization problem. It is not required for decision variables to actualy appear in the optimization problem.

Parameters

[in]	n	number of rows (default 1)
[in]	m	number of columnss (default 1)
[in]	attribute	'full' (default) or 'symmetric'

Extra doc: https://github.com/casadi/casadi/wiki/L_18

◆ x()

MX casadi::Opti::x ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_26b

◆ x_describe()

std::string casadi::OptiAdvanced::x_describe ( casadi_index i ) const

◆ x_lookup()

MX casadi::OptiAdvanced::x_lookup ( casadi_index i ) const

Friends And Related Function Documentation

◆ InternalOptiCallback

friend class InternalOptiCallback

friend

Definition at line 522 of file optistack.hpp.

Member Data Documentation

◆ problem_dirty_

bool casadi::OptiAdvanced::problem_dirty_

Definition at line 597 of file optistack.hpp.

◆ solved_

bool casadi::OptiAdvanced::solved_

Definition at line 605 of file optistack.hpp.

◆ solver_dirty_

bool casadi::OptiAdvanced::solver_dirty_

Definition at line 601 of file optistack.hpp.

The documentation for this class was generated from the following file:

optistack.hpp

Detailed Description

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Friends

Constructor & Destructor Documentation

◆ OptiAdvanced() [1/2]

◆ ~OptiAdvanced()

◆ OptiAdvanced() [2/2]

Member Function Documentation

◆ __hash__()

◆ active_symvar()

◆ active_values()

◆ advanced()

◆ arg()

◆ assert_active_symbol()

◆ assert_baked()

◆ assert_empty()

◆ assert_solved()

◆ bake()

◆ baked_copy()

◆ bounded()

◆ callback_class() [1/2]

◆ callback_class() [2/2]

◆ canon_expr()

◆ casadi_solver()

◆ class_name()

◆ constraints()

◆ copy()

◆ debug()

◆ describe()

◆ disp()

◆ dual()

◆ f()

◆ g()

◆ g_describe()

◆ g_lookup()

◆ get_meta()

◆ get_meta_con()

◆ get_str()

◆ initial()

◆ instance_number()

◆ is_null()

◆ is_parametric()

◆ lam_g()

◆ lbg()

◆ mark_problem_dirty()

◆ mark_solved()

◆ mark_solver_dirty()

◆ minimize()

◆ ng()

◆ np()

◆ nx()

◆ objective()

◆ p()

◆ parameter()

◆ problem_dirty()

◆ res() [1/2]

◆ res() [2/2]

◆ return_status()

◆ set_domain()

◆ set_initial() [1/2]

◆ set_initial() [2/2]

◆ set_meta()

◆ set_meta_con()

◆ set_value() [1/2]

◆ set_value() [2/2]

◆ show_infeasibilities()

◆ solve()

◆ solve_actual()

◆ solve_limited()

◆ solve_prepare()

◆ solved()

◆ solver()

◆ solver_dirty()

◆ stats()

◆ subject_to() [1/3]

◆ subject_to() [2/3]

◆ subject_to() [3/3]

◆ hash()