|
LSSTApplications
8.0.0.0+107,8.0.0.1+13,9.1+18,9.2,master-g084aeec0a4,master-g0aced2eed8+6,master-g15627eb03c,master-g28afc54ef9,master-g3391ba5ea0,master-g3d0fb8ae5f,master-g4432ae2e89+36,master-g5c3c32f3ec+17,master-g60f1e072bb+1,master-g6a3ac32d1b,master-g76a88a4307+1,master-g7bce1f4e06+57,master-g8ff4092549+31,master-g98e65bf68e,master-ga6b77976b1+53,master-gae20e2b580+3,master-gb584cd3397+53,master-gc5448b162b+1,master-gc54cf9771d,master-gc69578ece6+1,master-gcbf758c456+22,master-gcec1da163f+63,master-gcf15f11bcc,master-gd167108223,master-gf44c96c709
LSSTDataManagementBasePackage
|
Metrics (distance functions) over K-dimensional spaces. More...
#include <cmath>#include "Eigen/Core"Go to the source code of this file.
Classes | |
| struct | lsst::ap::cluster::detail::SquaredEuclidianDistanceOverSphere |
Namespaces | |
| lsst | |
| Estimate image backgrounds. | |
| lsst::ap | |
| lsst::ap::cluster | |
| lsst::ap::cluster::detail | |
Metrics (distance functions) over K-dimensional spaces.
A metric is a functor providing operators to computes the distance between two K dimensional points and the minimum distance between two K-dimensional points when given the their k-th coordinate values.
Definition in file Metrics.h.
1.8.5