Uses of Class
cern.colt.matrix.DoubleFactory2D
Packages that use DoubleFactory2D
Package
Description
Matrix interfaces and factories; efficient and flexible dense and sparse
1, 2, 3 and d-dimensional matrices holding objects or primitive data types such
as int, double, etc; Templated, fixed sized (not dynamically
resizable); Also known as multi-dimensional arrays or Data Cubes.
Matrix benchmarks.
Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of
cern.colt.matrix
, without subsetting or supersetting.-
Uses of DoubleFactory2D in cern.colt.matrix
Fields in cern.colt.matrix declared as DoubleFactory2DModifier and TypeFieldDescriptionstatic final DoubleFactory2D
DoubleFactory2D.dense
A factory producing dense matrices.static final DoubleFactory2D
DoubleFactory2D.rowCompressed
A factory producing sparse row compressed matrices.static final DoubleFactory2D
DoubleFactory2D.sparse
A factory producing sparse hash matrices. -
Uses of DoubleFactory2D in cern.colt.matrix.bench
Methods in cern.colt.matrix.bench that return DoubleFactory2DModifier and TypeMethodDescriptionprotected static DoubleFactory2D
BenchmarkMatrix.getFactory
(String type) Not yet documented. -
Uses of DoubleFactory2D in cern.colt.matrix.impl
Fields in cern.colt.matrix.impl declared as DoubleFactory2DMethods in cern.colt.matrix.impl with parameters of type DoubleFactory2DModifier and TypeMethodDescriptionstatic void
TestMatrix2D.doubleTest28
(DoubleFactory2D f) static void
TestMatrix2D.doubleTest29
(int size, DoubleFactory2D f) static void
TestMatrix2D.doubleTest29
(DoubleFactory2D f)