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

Packages that use Tensor

Package	Description
org.flag4j.arrays.backend.primitive_arrays
org.flag4j.arrays.dense	Provides implementations for dense tensors, matrices, and vectors.
org.flag4j.arrays.sparse	Contains implementations for sparse tensors, matrices, and vectors.
org.flag4j.linalg	General purpose linear algebra operations including condition number evaluations, eigenvalue/eigenvector computations, matrix inversion, and subspace analysis.
org.flag4j.linalg.ops.dense_sparse.coo.real
org.flag4j.linalg.ops.dense_sparse.coo.real_complex
org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops
org.flag4j.linalg.ops.dense.real	Implementations of operations on real dense array objects.
org.flag4j.linalg.ops.dense.real_field_ops	Implementations of operations between real array objects and Field dense array objects.
org.flag4j.linalg.ops.sparse.coo.real	Implementations of operations on real sparse COO (coordinate) array objects.
org.flag4j.linalg.solvers.exact	Contains solvers which solve well determined linear tensor and matrix equations in an exact sense.
org.flag4j.rng	Pseudo-random generation of real/complex numbers, and arrays, vectors, matrices, and tensors.

Uses of Tensor in org.flag4j.arrays.backend.primitive_arrays

Methods in org.flag4j.arrays.backend.primitive_arrays that return Tensor

Modifier and Type	Method	Description
Tensor	AbstractDenseDoubleTensor.tensorTr(int axis1, int axis2)	Computes the generalized trace of this tensor along the specified axes.

Uses of Tensor in org.flag4j.arrays.dense

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

Modifier and Type	Class	Description
class	Tensor	A real dense tensor backed by a primitive double array.

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

Modifier and Type	Method	Description
Tensor	FieldTensor.abs()	Computes the element-wise absolute value of this tensor.
Tensor	RingTensor.abs()	Computes the element-wise absolute value of this tensor.
Tensor	Tensor.add(CooTensor b)	Computes the element-wise sum between two tensors of the same shape.
Tensor	Tensor.flatten()	Flattens tensor to single dimension while preserving order of data.
Tensor	Tensor.flatten(int axis)	Flattens a tensor along the specified axis.
Tensor	Tensor.makeLikeTensor(Shape shape, double[] entries)	Constructs a tensor of the same type as this tensor with the given the shape and data.
Tensor	Tensor.sub(CooTensor b)	Computes the element-wise difference between two tensors of the same shape.
Tensor	CTensor.toReal()	Converts this complex tensor to a real tensor.
Tensor	Matrix.toTensor()	Converts this matrix to an equivalent Tensor.
Tensor	Vector.toTensor()	Converts this vector to an equivalent tensor.

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

Modifier and Type	Method	Description
CTensor	CTensor.add(Tensor b)	Computes the element-wise sum between two tensors of the same shape.
void	CTensor.addEq(Tensor b)	Computes the element-wise sum between two tensors of the same shape and stores hte result in this tensor.
CTensor	CTensor.div(Tensor b)	Computes the element-wise quotient between two tensors.
CTensor	CTensor.elemMult(Tensor b)	Computes the element-wise multiplication of two tensors of the same shape.
CTensor	CTensor.sub(Tensor b)	Computes the element-wise difference between two tensors of the same shape.
void	CTensor.subEq(Tensor b)	Computes the element-wise difference of this tensor with a real dense tensor and stores the result in this tensor.

Constructors in org.flag4j.arrays.dense with parameters of type Tensor

Modifier	Constructor	Description
	Tensor(Tensor src)	Constructs a copy of the specified tensor.

Uses of Tensor in org.flag4j.arrays.sparse

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

Modifier and Type	Method	Description
Tensor	CooTensor.makeDenseTensor(Shape shape, double[] data)	Makes a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
Tensor	CooTensor.tensorDot(CooTensor src2, int[] aAxes, int[] bAxes)	Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
Tensor	CooTensor.toDense()	Converts this sparse tensor to an equivalent dense tensor.

Uses of Tensor in org.flag4j.linalg

Methods in org.flag4j.linalg that return Tensor

Modifier and Type	Method	Description
static Tensor	TensorInvert.inv(Tensor src, int numIndices)	Deprecated.

Methods in org.flag4j.linalg with parameters of type Tensor

Modifier and Type	Method	Description
static Tensor	TensorInvert.inv(Tensor src, int numIndices)	Deprecated.

Uses of Tensor in org.flag4j.linalg.ops.dense_sparse.coo.real

Methods in org.flag4j.linalg.ops.dense_sparse.coo.real that return Tensor

Modifier and Type	Method	Description
static Tensor	RealDenseCooTensorOps.add(Tensor src1, CooTensor src2)	Adds a real dense tensor to a real sparse tensor.
static Tensor	RealDenseCooTensorOps.add(CooTensor src1, double b)	Adds a scalar to a real sparse COO tensor.
static Tensor	RealDenseCooTensorOps.sub(Tensor src1, CooTensor src2)	Subtracts a real sparse tensor from a real dense tensor.
static Tensor	RealDenseCooTensorOps.sub(CooTensor src1, double b)	Subtracts a scalar from each entry of a real sparse COO tensor.
static Tensor	RealDenseCooTensorOps.sub(CooTensor src1, Tensor src2)	Subtracts a real dense tensor from a real sparse tensor.

Methods in org.flag4j.linalg.ops.dense_sparse.coo.real with parameters of type Tensor

Modifier and Type	Method	Description
static Tensor	RealDenseCooTensorOps.add(Tensor src1, CooTensor src2)	Adds a real dense tensor to a real sparse tensor.
static void	RealDenseCooTensorOps.addEq(Tensor src1, CooTensor src2)	Adds a real dense tensor to a real sparse tensor and stores the result in the first tensor.
static CooTensor	RealDenseCooTensorOps.elemDiv(CooTensor src1, Tensor src2)	Computes the element-wise division between a real dense tensor and a real sparse tensor.
static CooTensor	RealDenseCooTensorOps.elemMult(Tensor src1, CooTensor src2)	Computes the element-wise multiplication between a real dense tensor and a real sparse tensor.
static Tensor	RealDenseCooTensorOps.sub(Tensor src1, CooTensor src2)	Subtracts a real sparse tensor from a real dense tensor.
static Tensor	RealDenseCooTensorOps.sub(CooTensor src1, Tensor src2)	Subtracts a real dense tensor from a real sparse tensor.
static void	RealDenseCooTensorOps.subEq(Tensor src1, CooTensor src2)	Subtracts a real sparse tensor from a real dense tensor and stores the result in the dense tensor.
static boolean	RealDenseSparseEquals.tensorEquals(Tensor A, CooTensor B)	Checks if a real dense tensor is equal to a real sparse tensor.

Uses of Tensor in org.flag4j.linalg.ops.dense_sparse.coo.real_complex

Methods in org.flag4j.linalg.ops.dense_sparse.coo.real_complex with parameters of type Tensor

Modifier and Type	Method	Description
static CooCTensor	RealComplexDenseCooOps.elemMult(Tensor src1, CooCTensor src2)	Computes the element-wise multiplication between a complex dense tensor and a real sparse matrix.
static CTensor	RealComplexDenseCooOps.sub(Tensor src1, CooCTensor src2)	Subtracts a sparse complex tensor from a real dense tensor.
static CTensor	RealComplexDenseCooOps.sub(CooCTensor src1, Tensor src2)	Subtracts a real dense tensor from a complex sparse tensor.
static boolean	RealComplexDenseSparseEquals.tensorEquals(Tensor A, CooCTensor B)	Checks if a real dense tensor is equal to a complex sparse tensor.

Uses of Tensor in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops

Methods in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops with parameters of type Tensor

Modifier and Type	Method	Description
static <T extends Field<T>> AbstractCooFieldTensor<?,?,T>	RealFieldDenseCooOps.elemDiv(AbstractCooFieldTensor<?,?,T> src1, Tensor src2)	Computes the element-wise division between a real dense tensor and a real sparse tensor.
static <T extends Field<T>> AbstractCooFieldTensor<?,?,T>	RealFieldDenseCooOps.elemMult(Tensor src1, AbstractCooFieldTensor<?,?,T> src2)	Computes the element-wise multiplication between a real dense tensor and a complex sparse tensor.

Uses of Tensor in org.flag4j.linalg.ops.dense.real

Methods in org.flag4j.linalg.ops.dense.real with parameters of type Tensor

Modifier and Type	Method	Description
static boolean	RealDenseEquals.tensorEquals(Tensor A, Tensor B)	Checks if two real dense tensors are equal.

Uses of Tensor in org.flag4j.linalg.ops.dense.real_field_ops

Methods in org.flag4j.linalg.ops.dense.real_field_ops with parameters of type Tensor

Modifier and Type	Method	Description
static <T extends Field<T>> boolean	RealFieldDenseEquals.tensorEquals(Tensor A, AbstractDenseFieldTensor<?,T> B)	Checks if two real dense tensors are equal.

Uses of Tensor in org.flag4j.linalg.ops.sparse.coo.real

Methods in org.flag4j.linalg.ops.sparse.coo.real that return Tensor

Modifier and Type	Method	Description
static Tensor	RealCooTensorDot.tensorDot(CooTensor src1, CooTensor src2, int[] src1Axes, int[] src2Axes)	Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.

Uses of Tensor in org.flag4j.linalg.solvers.exact

Subclasses with type arguments of type Tensor in org.flag4j.linalg.solvers.exact

Modifier and Type	Class	Description
class	RealExactTensorSolver	Solver for solving a real well determined linear tensor equation \( AX = B \) in an exact sense.

Methods in org.flag4j.linalg.solvers.exact that return Tensor

Modifier and Type	Method	Description
protected Tensor	RealExactTensorSolver.wrap(Vector x, Shape outputShape)	Wraps solution as a tensor and reshapes to the proper shape.

Methods in org.flag4j.linalg.solvers.exact with parameters of type Tensor

Modifier and Type	Method	Description
protected Matrix	RealExactTensorSolver.initMatrix(Tensor A, int prod)	Initializes matrix for equivalent linear matrix equation.
protected Vector	RealExactTensorSolver.initVector(Tensor B)	Initializes vector for equivalent linear matrix equation.

Uses of Tensor in org.flag4j.rng

Methods in org.flag4j.rng that return Tensor

Modifier and Type	Method	Description
Tensor	RandomDenseTensor.randnTensor(Shape shape)	Generates a tensor filled with pseudorandom values sampled from a normal distribution with mean of 0.0 and standard deviation of 1.0.
Tensor	RandomDenseTensor.randnTensor(Shape shape, double mean, double std)	Generates a tensor filled with pseudorandom values sampled from a normal distribution with specified mean and standard deviation.
Tensor	RandomDenseTensor.randomTensor(Shape shape)	Generates a tensor filled with pseudorandom values uniformly distributed in [0, 1).
Tensor	RandomDenseTensor.randomTensor(Shape shape, double min, double max)	Generates a tensor filled with pseudorandom values uniformly distributed in [min, max).