Template Class Covariogram

• Defined in File GaussianProcess.h

Inheritance Relationships

Derived Types

• public lsst::afw::math::NeuralNetCovariogram< T > (Template Class NeuralNetCovariogram)

• public lsst::afw::math::SquaredExpCovariogram< T > (Template Class SquaredExpCovariogram)

Class Documentation

template<typename T>
class Covariogram

The parent class of covariogram functions for use in Gaussian Process interpolation

Each instantiation of a Covariogram will store its own hyper parameters

Subclassed by lsst::afw::math::NeuralNetCovariogram< T >, lsst::afw::math::SquaredExpCovariogram< T >

Public Functions

virtual ~Covariogram()

Covariogram(const Covariogram&)

Covariogram &operator=(const Covariogram&)

Covariogram(Covariogram&&)

Covariogram &operator=(Covariogram&&)

Covariogram()

construct a Covariogram assigning default values to the hyper parameters

virtual T operator()(ndarray::Array<const T, 1, 1> const &p1, ndarray::Array<const T, 1, 1> const &p2) const

Actually evaluate the covariogram function relating two points you want to interpolate from

Parameters

• [in] p1: the first point

• [in] p2: the second point