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Public Member Functions | List of all members
lsst::afw::math::SquaredExpCovariogram< T > Class Template Reference

SquaredExpCovariogram. More...

#include <GaussianProcess.h>

Inheritance diagram for lsst::afw::math::SquaredExpCovariogram< T >:
lsst::afw::math::Covariogram< T >

Public Member Functions

 ~SquaredExpCovariogram () override
 
 SquaredExpCovariogram ()
 
void setEllSquared (double ellSquared)
 set the _ellSquared hyper parameter (the square of the characteristic length scale of the covariogram)
 
operator() (ndarray::Array< const T, 1, 1 > const &, ndarray::Array< const T, 1, 1 > const &) const override
 Actually evaluate the covariogram function relating two points you want to interpolate from.
 

Detailed Description

template<typename T>
class lsst::afw::math::SquaredExpCovariogram< T >

SquaredExpCovariogram.

a Covariogram that falls off as the negative exponent of the square of the distance between the points

Contains one hyper parameter (_ellSquared) encoding the square of the characteristic length scale of the covariogram

Definition at line 164 of file GaussianProcess.h.

Constructor & Destructor Documentation

◆ ~SquaredExpCovariogram()

template<typename T >
lsst::afw::math::SquaredExpCovariogram< T >::~SquaredExpCovariogram ( )
overridedefault

◆ SquaredExpCovariogram()

template<typename T >
lsst::afw::math::SquaredExpCovariogram< T >::SquaredExpCovariogram ( )
explicit

Definition at line 2000 of file GaussianProcess.cc.

2000 {
2001 _ellSquared = 1.0;
2002}

Member Function Documentation

◆ operator()()

template<typename T >
T lsst::afw::math::SquaredExpCovariogram< T >::operator() ( ndarray::Array< const T, 1, 1 > const & p1,
ndarray::Array< const T, 1, 1 > const & p2 ) const
overridevirtual

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

Parameters
[in]p1the first point
[in]p2the second point

Reimplemented from lsst::afw::math::Covariogram< T >.

Definition at line 2010 of file GaussianProcess.cc.

2011 {
2012 T d = 0.0;
2013 for (ndarray::Size i = 0; i < p1.template getSize<0>(); i++) {
2014 d += (p1[i] - p2[i]) * (p1[i] - p2[i]);
2015 }
2016
2017 d = d / _ellSquared;
2018 return T(exp(-0.5 * d));
2019}
T exp(T... args)

◆ setEllSquared()

template<typename T >
void lsst::afw::math::SquaredExpCovariogram< T >::setEllSquared ( double ellSquared)

set the _ellSquared hyper parameter (the square of the characteristic length scale of the covariogram)

Definition at line 2005 of file GaussianProcess.cc.

2005 {
2006 _ellSquared = ellSquared;
2007}

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