eckerle4_functor Struct Reference

Inheritance diagram for eckerle4_functor:

Public Member Functions
	eckerle4_functor (void)
int	operator() (const VectorXd &b, VectorXd &fvec)
int	df (const VectorXd &b, MatrixXd &fjac)
	eckerle4_functor (void)
int	operator() (const VectorXd &b, VectorXd &fvec)
int	df (const VectorXd &b, MatrixXd &fjac)
Public Member Functions inherited from Eigen::DenseFunctor< double >
	DenseFunctor ()
	DenseFunctor (int inputs, int values)
int	inputs () const
int	values () const
Public Member Functions inherited from Functor< double >
	Functor ()
	Functor (int inputs, int values)
	Functor ()
	Functor (int inputs_, int values_)
int	inputs () const
int	inputs () const
int	values () const
int	values () const

Static Public Attributes
static const double	x [35]
static const double	y [35]

Additional Inherited Members
Public Types inherited from Eigen::DenseFunctor< double >
enum
typedef double	Scalar
typedef Matrix< Scalar, InputsAtCompileTime, 1 >	InputType
typedef Matrix< Scalar, ValuesAtCompileTime, 1 >	ValueType
typedef Matrix< Scalar, ValuesAtCompileTime, InputsAtCompileTime >	JacobianType
typedef ColPivHouseholderQR< JacobianType >	QRSolver
Public Types inherited from Functor< double >
enum
enum
typedef double	Scalar
typedef double	Scalar
typedef Matrix< Scalar, InputsAtCompileTime, 1 >	InputType
typedef Matrix< Scalar, InputsAtCompileTime, 1 >	InputType
typedef Matrix< Scalar, ValuesAtCompileTime, 1 >	ValueType
typedef Matrix< Scalar, ValuesAtCompileTime, 1 >	ValueType
typedef Matrix< Scalar, ValuesAtCompileTime, InputsAtCompileTime >	JacobianType
typedef Matrix< Scalar, ValuesAtCompileTime, InputsAtCompileTime >	JacobianType
Public Attributes inherited from Eigen::DenseFunctor< double >
const int	m_inputs
const int	m_values
Public Attributes inherited from Functor< double >
const int	m_inputs
int	m_inputs
const int	m_values
int	m_values

Constructor & Destructor Documentation

eckerle4_functor() [1/2]

eckerle4_functor::eckerle4_functor ( void  )

inline

: DenseFunctor<double>(3, 35) {}

eckerle4_functor() [2/2]

eckerle4_functor::eckerle4_functor ( void  )

inline

: Functor<double>(3, 35) {}

Member Function Documentation

df() [1/2]

int eckerle4_functor::df ( const VectorXd &  b, MatrixXd &  fjac  )

inline

                                            {
    assert(b.size() == 3);
    assert(fjac.rows() == 35);
    assert(fjac.cols() == 3);
    for (int i = 0; i < 35; i++) {
      double b12 = b[1] * b[1];
      double e = exp(-0.5 * (x[i] - b[2]) * (x[i] - b[2]) / b12);
      fjac(i, 0) = e / b[1];
      fjac(i, 1) = ((x[i] - b[2]) * (x[i] - b[2]) / b12 - 1.) * b[0] * e / b12;
      fjac(i, 2) = (x[i] - b[2]) * e * b[0] / b[1] / b12;
    }
    return 0;
  }

References assert, b, e(), Eigen::bfloat16_impl::exp(), i, and x.

df() [2/2]

int eckerle4_functor::df ( const VectorXd &  b, MatrixXd &  fjac  )

inline

                                            {
    assert(b.size() == 3);
    assert(fjac.rows() == 35);
    assert(fjac.cols() == 3);
    for (int i = 0; i < 35; i++) {
      double b12 = b[1] * b[1];
      double e = exp(-0.5 * (x[i] - b[2]) * (x[i] - b[2]) / b12);
      fjac(i, 0) = e / b[1];
      fjac(i, 1) = ((x[i] - b[2]) * (x[i] - b[2]) / b12 - 1.) * b[0] * e / b12;
      fjac(i, 2) = (x[i] - b[2]) * e * b[0] / b[1] / b12;
    }
    return 0;
  }

References assert, b, e(), Eigen::bfloat16_impl::exp(), i, and x.

operator()() [1/2]

int eckerle4_functor::operator() ( const VectorXd &  b, VectorXd &  fvec  )

inline

                                                    {
    assert(b.size() == 3);
    assert(fvec.size() == 35);
    for (int i = 0; i < 35; i++)
      fvec[i] = b[0] / b[1] * exp(-0.5 * (x[i] - b[2]) * (x[i] - b[2]) / (b[1] * b[1])) - y[i];
    return 0;
  }

References assert, b, Eigen::bfloat16_impl::exp(), i, x, and y.

operator()() [2/2]

int eckerle4_functor::operator() ( const VectorXd &  b, VectorXd &  fvec  )

inline

                                                    {
    assert(b.size() == 3);
    assert(fvec.size() == 35);
    for (int i = 0; i < 35; i++)
      fvec[i] = b[0] / b[1] * exp(-0.5 * (x[i] - b[2]) * (x[i] - b[2]) / (b[1] * b[1])) - y[i];
    return 0;
  }

References assert, b, Eigen::bfloat16_impl::exp(), i, x, and y.

Member Data Documentation

x

const double eckerle4_functor::x

static

Initial value:

= {400.0, 405.0, 410.0, 415.0, 420.0, 425.0, 430.0, 435.0, 436.5,
                                        438.0, 439.5, 441.0, 442.5, 444.0, 445.5, 447.0, 448.5, 450.0,
                                        451.5, 453.0, 454.5, 456.0, 457.5, 459.0, 460.5, 462.0, 463.5,
                                        465.0, 470.0, 475.0, 480.0, 485.0, 490.0, 495.0, 500.0}

Referenced by df(), and operator()().

y

const double eckerle4_functor::y

static

Initial value:

= {0.0001575, 0.0001699, 0.0002350, 0.0003102, 0.0004917, 0.0008710, 0.0017418,
                                        0.0046400, 0.0065895, 0.0097302, 0.0149002, 0.0237310, 0.0401683, 0.0712559,
                                        0.1264458, 0.2073413, 0.2902366, 0.3445623, 0.3698049, 0.3668534, 0.3106727,
                                        0.2078154, 0.1164354, 0.0616764, 0.0337200, 0.0194023, 0.0117831, 0.0074357,
                                        0.0022732, 0.0008800, 0.0004579, 0.0002345, 0.0001586, 0.0001143, 0.0000710}

Referenced by operator()().

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The documentation for this struct was generated from the following files:

• levenberg_marquardt.cpp
• NonLinearOptimization.cpp