Uses of Class
org.flag4j.arrays.sparse.CooRingMatrix

Packages that use CooRingMatrix

Package	Description
org.flag4j.arrays.backend.smart_visitors
org.flag4j.arrays.dense	Provides implementations for dense tensors, matrices, and vectors.
org.flag4j.arrays.sparse	Contains implementations for sparse tensors, matrices, and vectors.

Uses of CooRingMatrix in org.flag4j.arrays.backend.smart_visitors

Methods in org.flag4j.arrays.backend.smart_visitors with parameters of type CooRingMatrix

Modifier and Type	Method	Description
<U extends Ring<U>> MatrixMixin<?,?,?,?>	AddVisitor.visit(CooRingMatrix<U> matrix)
<U extends Ring<U>> MatrixMixin<?,?,?,?>	DivVisitor.visit(CooRingMatrix<U> matrix)
<U extends Ring<U>> MatrixMixin<?,?,?,?>	ElemMultVisitor.visit(CooRingMatrix<U> matrix)
<U extends Ring<U>> MatrixMixin<?,?,?,?>	MatMultVisitor.visit(CooRingMatrix<U> matrix)
abstract <U extends Ring<U>> T	MatrixVisitor.visit(CooRingMatrix<U> matrix)
<U extends Ring<U>> MatrixMixin<?,?,?,?>	SubVisitor.visit(CooRingMatrix<U> matrix)

Uses of CooRingMatrix in org.flag4j.arrays.dense

Methods in org.flag4j.arrays.dense that return CooRingMatrix

Modifier and Type	Method	Description
protected CooRingMatrix<T>	RingMatrix.makeLikeCooMatrix(Shape shape, T[] entries, int[] rowIndices, int[] colIndices)	Constructs a sparse COO matrix which is of a similar type as this dense matrix.
CooRingMatrix<T>	RingMatrix.toCoo()	Converts this dense tensor to an equivalent sparse COO tensor.
CooRingMatrix<T>	RingMatrix.toCoo(double estimatedSparsity)	Converts this matrix to an equivalent sparse COO matrix.

Uses of CooRingMatrix in org.flag4j.arrays.sparse

Subclasses with type arguments of type CooRingMatrix in org.flag4j.arrays.sparse

Modifier and Type	Class	Description
class	CooRingMatrix<T extends Ring<T>>	Represents a sparse matrix whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Ring type.
class	CooRingVector<T extends Ring<T>>	Represents a sparse vector whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Ring type.

Methods in org.flag4j.arrays.sparse that return CooRingMatrix

Modifier and Type	Method	Description
CooRingMatrix<T>	CooRingMatrix.div(CooRingMatrix<T> b)	Computes the element-wise quotient of two matrices.
CooRingMatrix<T>	CsrRingMatrix.makeLikeCooMatrix(Shape shape, T[] entries, int[] rowIndices, int[] colIndices)	Constructs a sparse COO matrix of a similar type to this sparse CSR matrix.
CooRingMatrix<T>	CooRingVector.makeLikeMatrix(Shape shape, T[] entries, int[] rowIndices, int[] colIndices)	Constructs a COO matrix with the specified shape, non-zero data, and row and column indices.
CooRingMatrix<T>	CooRingMatrix.makeLikeTensor(Shape shape, List<T> entries, List<Integer> rowIndices, List<Integer> colIndices)	Constructs a COO matrix with the specified shape, non-zero data, and non-zero indices.
CooRingMatrix<T>	CooRingMatrix.makeLikeTensor(Shape shape, T[] entries)	Constructs a tensor of the same type as this tensor with the given the shape and data.
CooRingMatrix<T>	CooRingMatrix.makeLikeTensor(Shape shape, T[] entries, int[] rowIndices, int[] colIndices)	Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero data and indices.
CooRingMatrix<T>	CsrRingMatrix.toCoo()	Converts this sparse CSR matrix to an equivalent sparse COO matrix.
CooRingMatrix<T>	CooRingTensor.toMatrix()	Converts this tensor to an equivalent matrix.
CooRingMatrix<T>	CooRingTensor.toMatrix(Shape matShape)	Converts this tensor to a matrix with the specified shape.
CooRingMatrix<T>	CooRingVector.toMatrix(boolean columVector)	Converts a vector to an equivalent matrix representing either a row or column vector.

Methods in org.flag4j.arrays.sparse with parameters of type CooRingMatrix

Modifier and Type	Method	Description
CooRingMatrix<T>	CooRingMatrix.div(CooRingMatrix<T> b)	Computes the element-wise quotient of two matrices.
RingTensor<T>	CooRingMatrix.tensorDot(CooRingMatrix<T> src2, int[] aAxes, int[] bAxes)	Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.