clear_failure() | vnl_least_squares_function | |
compute(const InternalParametersType &x, InternalMeasureType *f, InternalDerivativeType *g) | itk::MultipleValuedVnlCostFunctionAdaptor | [virtual] |
ConvertExternalToInternalGradient(const DerivativeType &input, InternalDerivativeType &output) | itk::MultipleValuedVnlCostFunctionAdaptor | |
ConvertExternalToInternalMeasures(const MeasureType &input, InternalMeasureType &output) | itk::MultipleValuedVnlCostFunctionAdaptor | |
ConvertExternalToInternalParameters(const ParametersType &input, InternalParametersType &output) | itk::MultipleValuedVnlCostFunctionAdaptor | [static] |
ConvertInternalToExternalParameters(const InternalParametersType &input, ParametersType &output) | itk::MultipleValuedVnlCostFunctionAdaptor | [static] |
DerivativeType typedef | itk::MultipleValuedVnlCostFunctionAdaptor | |
f(const InternalParametersType &inparameters, InternalMeasureType &measures) | itk::MultipleValuedVnlCostFunctionAdaptor | [virtual] |
vnl_least_squares_function::f(vnl_vector< double > const &x, vnl_vector< double > &fx)=0 | vnl_least_squares_function | [pure virtual] |
failure | vnl_least_squares_function | |
get_number_of_residuals() const | vnl_least_squares_function | [inline] |
get_number_of_unknowns() const | vnl_least_squares_function | [inline] |
GetCostFunction(void) const | itk::MultipleValuedVnlCostFunctionAdaptor | [inline] |
GetUseGradient() const | itk::MultipleValuedVnlCostFunctionAdaptor | |
gradf(const InternalParametersType &inparameters, InternalDerivativeType &gradient) | itk::MultipleValuedVnlCostFunctionAdaptor | [virtual] |
vnl_least_squares_function::gradf(vnl_vector< double > const &x, vnl_matrix< double > &jacobian) | vnl_least_squares_function | [virtual] |
has_gradient() const | vnl_least_squares_function | [inline] |
init(int number_of_unknowns, int number_of_residuals) | vnl_least_squares_function | [protected] |
InternalDerivativeType typedef | itk::MultipleValuedVnlCostFunctionAdaptor | |
InternalMeasureType typedef | itk::MultipleValuedVnlCostFunctionAdaptor | |
InternalParametersType typedef | itk::MultipleValuedVnlCostFunctionAdaptor | |
MeasureType typedef | itk::MultipleValuedVnlCostFunctionAdaptor | |
MultipleValuedVnlCostFunctionAdaptor(unsigned int spaceDimension, unsigned int numberOfValues) | itk::MultipleValuedVnlCostFunctionAdaptor | |
n_ | vnl_least_squares_function | [protected] |
no_gradient enum value | vnl_least_squares_function | |
p_ | vnl_least_squares_function | [protected] |
ParametersType typedef | itk::MultipleValuedVnlCostFunctionAdaptor | |
print_f_fmt_ | vnl_least_squares_function | [protected] |
print_x_fmt_ | vnl_least_squares_function | [protected] |
rms(vnl_vector< double > const &x) | vnl_least_squares_function | |
SetCostFunction(MultipleValuedCostFunction *costFunction) | itk::MultipleValuedVnlCostFunctionAdaptor | [inline] |
SetUseGradient(bool) | itk::MultipleValuedVnlCostFunctionAdaptor | |
throw_failure() | vnl_least_squares_function | |
trace(int iteration, vnl_vector< double > const &x, vnl_vector< double > const &fx) | vnl_least_squares_function | [virtual] |
use_gradient enum value | vnl_least_squares_function | |
use_gradient_ | vnl_least_squares_function | [protected] |
UseGradient enum name | vnl_least_squares_function | |
UseGradientOff() | itk::MultipleValuedVnlCostFunctionAdaptor | [inline] |
UseGradientOn() | itk::MultipleValuedVnlCostFunctionAdaptor | [inline] |
vnl_least_squares_function(int number_of_unknowns, int number_of_residuals, UseGradient=use_gradient) | vnl_least_squares_function | |
~vnl_least_squares_function() | vnl_least_squares_function | [virtual] |