Detailed Description

Classes
class	COptions
	parameters for the solver More...

class	Stats
	Statistics holder for the solver. More...

Public Types
enum	{ _E_n = problem_type::_E_n, _E_g = 0, _E_h = 0, _E_nA = problem_type::_E_nA, _E_nL = problem_type::_E_nL, _E_nAL = problem_type::_E_nAL }

typedef problem_type::ad_0_type	ad_0_type
	automatic differentiation type of order one

typedef problem_type::ad_1_type	ad_1_type
	automatic differentiation type of order one

typedef problem_type::ad_2_type	ad_2_type
	automatic differentiation type of order two

typedef ublas::banded_matrix < double >	banded_matrix_type

typedef directionalScalingMatrix < value_type >	dsm_type

typedef problem_type::f_type	f_type
	functional objective type

typedef problem_type::matrix_type	matrix_type
	matrix type

typedef COptions	options_type
	option data type

typedef Problem< Data >	problem_type
	problem data type

typedef SolverUnconstrained < Data, Problem >	solver_type
	this solver type

typedef Stats	statistics_type
	statistics data type

typedef problem_type::symmetric_matrix_type	symmetric_matrix_type

typedef ad_0_type::value_type	value_type
	numerical type

typedef problem_type::vector_type	vector_type
	numerical type More...

Public Member Functions
bool	optimize (vector_type &__x)
	optimization algorithm More...

problem_type &	problem ()

void	redefine_problem (value_type x_definitions[_E_n][3])
	redefined the bounds of the control variables

	SolverUnconstrained (value_type x_definitions[_E_n][3])
	constructor that takes the control variables bounds

	SolverUnconstrained (Data const &__data)
	constructor that takes a data instance

statistics_type const &	stats () const

	~SolverUnconstrained ()
	destructor

Member Typedef Documentation

template<typename Data, template< class > class Problem = problem>

typedef problem_type::vector_type Feel::SolverUnconstrained< Data, Problem >::vector_type

numerical type

vector type

template<typename Data, template< class > class Problem = problem>

anonymous enum

Enumerator
_E_n	number of control variables
_E_g	number of inequality constraints
_E_h	number of equality constraints
_E_nA	size of the matrix
_E_nL	number of multipliers
_E_nAL	size of the multipliers matrix

template<typename Data , template< class > class Problem>

bool Feel::SolverUnconstrained< Data, Problem >::optimize ( vector_type & __x )

optimization algorithm

find an approximate stot for the step to make solve : Find $\tilde{s}^k = \mathrm{arg}\mathrm{min}_{s \in R^n}{\tilde{\phi}^k : ||s|| < \Delta^k}$

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