NAV::IncrementalLeastSquares< Scalar > Class Template Reference

Incremental Least Squares Curve Fitting. More...

Public Member Functions
void	addDataPoint (const Scalar &x, const Scalar &y)
	Add a data point to the polynomial.
Eigen::VectorX< Scalar >	calcCoefficients () const
	Calculates the polynomial coefficients in order a0 + a1 * x + a2 * x^2 + ...
	IncrementalLeastSquares (size_t polynomialDegree)
	Constructor.
void	removeDataPoint (const Scalar &x, const Scalar &y)
	Removes a data point from the polynomial fit.
void	reset ()
	Reset the saved data.
void	setPolynomialDegree (size_t polynomialDegree)
	Set the Polynomial Degree.

Private Attributes
size_t	_polyDegree
	Polynomial degree to fit.
Eigen::VectorX< Scalar >	_summedPowersX
	Sum{x^2}. (DEGREE + 1) * 2 - 1 values.
Eigen::VectorX< Scalar >	_summedPowersXTimesY
	Sum{x^2 * y}. DEGREE + 1 values.

Detailed Description

template<typename Scalar>
class NAV::IncrementalLeastSquares< Scalar >

Incremental Least Squares Curve Fitting.

Template Parameters

Scalar

Data type to store

Definition at line 29 of file IncrementalLeastSquares.hpp.

Constructor & Destructor Documentation

IncrementalLeastSquares()

template<typename Scalar>

NAV::IncrementalLeastSquares< Scalar >::IncrementalLeastSquares ( size_t polynomialDegree )

inlineexplicit

Constructor.

Parameters

[in]

polynomialDegree

Degree of the polynomial to fit

Definition at line 34 of file IncrementalLeastSquares.hpp.

Member Function Documentation

addDataPoint()

template<typename Scalar>

void NAV::IncrementalLeastSquares< Scalar >::addDataPoint ( const Scalar & x, const Scalar & y )

inline

Add a data point to the polynomial.

Parameters

[in]	x	X Value
[in]	y	Y Value

Definition at line 51 of file IncrementalLeastSquares.hpp.

calcCoefficients()

template<typename Scalar>

Eigen::VectorX< Scalar > NAV::IncrementalLeastSquares< Scalar >::calcCoefficients ( ) const

inlinenodiscard

Calculates the polynomial coefficients in order a0 + a1 * x + a2 * x^2 + ...

Definition at line 96 of file IncrementalLeastSquares.hpp.

removeDataPoint()

template<typename Scalar>

void NAV::IncrementalLeastSquares< Scalar >::removeDataPoint ( const Scalar & x, const Scalar & y )

inline

Removes a data point from the polynomial fit.

Parameters

[in]	x	X Value
[in]	y	Y Value

Definition at line 71 of file IncrementalLeastSquares.hpp.

reset()

template<typename Scalar>

void NAV::IncrementalLeastSquares< Scalar >::reset ( )

inline

Reset the saved data.

Definition at line 89 of file IncrementalLeastSquares.hpp.

setPolynomialDegree()

template<typename Scalar>

void NAV::IncrementalLeastSquares< Scalar >::setPolynomialDegree ( size_t polynomialDegree )

inline

Set the Polynomial Degree.

Parameters

[in]

polynomialDegree

Degree of the polynomial to fit

Definition at line 41 of file IncrementalLeastSquares.hpp.

Field Documentation

_polyDegree

template<typename Scalar>

size_t NAV::IncrementalLeastSquares< Scalar >::_polyDegree

private

Polynomial degree to fit.

Definition at line 113 of file IncrementalLeastSquares.hpp.

_summedPowersX

template<typename Scalar>

Eigen::VectorX<Scalar> NAV::IncrementalLeastSquares< Scalar >::_summedPowersX

private

Sum{x^2}. (DEGREE + 1) * 2 - 1 values.

Definition at line 114 of file IncrementalLeastSquares.hpp.

_summedPowersXTimesY

template<typename Scalar>

Eigen::VectorX<Scalar> NAV::IncrementalLeastSquares< Scalar >::_summedPowersXTimesY

private

Sum{x^2 * y}. DEGREE + 1 values.

Definition at line 115 of file IncrementalLeastSquares.hpp.

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

• /home/runner/work/INSTINCT/INSTINCT/src/Navigation/Math/internal/PolynomialRegressor/IncrementalLeastSquares.hpp