Uses of Class
org.kramerlab.bmad.matrix.RowMajor

Packages that use RowMajor

Package	Description
org.kramerlab.bmad.matrix	Contains implementations of elementary data structures, required to perform boolean matrix decompositions: matrices.

Uses of RowMajor in org.kramerlab.bmad.matrix

Methods in org.kramerlab.bmad.matrix that return RowMajor

Modifier and Type	Method and Description
static <X> RowMajor<X>	RowMajor.asColumnVector(ArrayList<X> list)
static <X> RowMajor<X>	RowMajor.asRowVector(ArrayList<X> list)
<Y> RowMajor<Y>	RowMajor.flatMap(Function<X,RowMajor<Y>> f) A dense matrix flatMap, that is done about right: it makes real effort not to calculate anything twice, not to allocate more space than necessary, and not to use dynamic memory allocation of arrayLists, which copies entries under the hood.
<Y> RowMajor<Y>	RowMajor.map(Function<X,Y> f) Creates new matrix, where each entry is mapped by the function f
<Y> RowMajor<Y>	RowMajor.mapWithIndices(Function<Tuple<X,Tuple<Integer,Integer>>,Y> f) Pointwise application of a function that can depend on the value and the index.
RowMajor<Byte>	BooleanMatrix.toRowMajor() Transforms this matrix to a generic matrix.

Method parameters in org.kramerlab.bmad.matrix with type arguments of type RowMajor

Modifier and Type	Method and Description
<Y> RowMajor<Y>	RowMajor.flatMap(Function<X,RowMajor<Y>> f) A dense matrix flatMap, that is done about right: it makes real effort not to calculate anything twice, not to allocate more space than necessary, and not to use dynamic memory allocation of arrayLists, which copies entries under the hood.