Uses of Class
org.flag4j.arrays.dense.RingMatrix

Packages that use RingMatrix

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 RingMatrix in org.flag4j.arrays.backend.smart_visitors

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

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

Uses of RingMatrix in org.flag4j.arrays.dense

Subclasses with type arguments of type RingMatrix in org.flag4j.arrays.dense

Modifier and Type	Class	Description
class	RingMatrix<T extends Ring<T>>	Instances of this class represents a dense matrix backed by a Ring array.
class	RingVector<T extends Ring<T>>	Instances of this class represents a dense vector backed by a Ring array.

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

Modifier and Type	Method	Description
RingMatrix<T>	RingMatrix.div(RingMatrix<T> b)	Computes the element-wise quotient of two matrices.
static <T extends Ring<T>> RingMatrix<T>	RingMatrix.I(int numRows, int numCols, T fieldValue)	Constructs an identity-like matrix of the specified shape.
static <T extends Ring<T>> RingMatrix<T>	RingMatrix.I(int size, T fieldValue)	Constructs an identity matrix of the specified size.
static <T extends Ring<T>> RingMatrix<T>	RingMatrix.I(Shape shape, T fieldValue)	Constructs an identity-like matrix of the specified shape.
protected RingMatrix<T>	RingVector.makeLikeMatrix(Shape shape, T[] entries)	Constructs a matrix of similar type to this vector with the specified shape and data.
RingMatrix<T>	RingMatrix.makeLikeTensor(Shape shape, T[] entries)	Constructs a tensor of the same type as this tensor with the given the shape and data.
RingMatrix<T>	RingMatrix.pow(int n)	Computes the matrix multiplication of this matrix with itself n times.
RingMatrix<T>	RingMatrix.sub(RingMatrix<T> b)	Computes the element-wise difference of two matrices.
RingMatrix<T>	RingTensor.toMatrix(Shape matShape)	Converts this tensor to a matrix with the specified shape.

Methods in org.flag4j.arrays.dense with parameters of type RingMatrix

Modifier and Type	Method	Description
RingMatrix<T>	RingMatrix.div(RingMatrix<T> b)	Computes the element-wise quotient of two matrices.
RingMatrix<T>	RingMatrix.sub(RingMatrix<T> b)	Computes the element-wise difference of two matrices.

Uses of RingMatrix in org.flag4j.arrays.sparse

Subclasses with type arguments of type RingMatrix 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.
class	CsrRingMatrix<T extends Ring<T>>

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

Modifier and Type	Method	Description
RingMatrix<T>	CooRingVector.makeLikeDenseMatrix(Shape shape, T... entries)	Constructs a dense matrix of a similar type as this vector with the specified shape and data.
RingMatrix<T>	CooRingMatrix.makeLikeDenseTensor(Shape shape, T[] entries)	Constructs a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
RingMatrix<T>	CsrRingMatrix.makeLikeDenseTensor(Shape shape, T[] entries)	Constructs a dense matrix which is of a similar type to this sparse CSR matrix.