Uses of Class
org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor
Packages that use AbstractDoubleTensor
Package
Description
Provides implementations for dense tensors, matrices, and vectors.
Contains implementations for sparse tensors, matrices, and vectors.
General linear algebra operations.
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Uses of AbstractDoubleTensor in org.flag4j.arrays.backend.primitive_arrays
Classes in org.flag4j.arrays.backend.primitive_arrays with type parameters of type AbstractDoubleTensorModifier and TypeClassDescriptionclassAbstractDenseDoubleTensor<T extends AbstractDoubleTensor<T>>This is the base class of all real primitive double tensors.classAbstractDoubleTensor<T extends AbstractDoubleTensor<T>>This is the base class of all real primitive double tensors, matrices, or vectors.Subclasses of AbstractDoubleTensor in org.flag4j.arrays.backend.primitive_arraysModifier and TypeClassDescriptionclassAbstractDenseDoubleTensor<T extends AbstractDoubleTensor<T>>This is the base class of all real primitive double tensors. -
Uses of AbstractDoubleTensor in org.flag4j.arrays.dense
Subclasses of AbstractDoubleTensor in org.flag4j.arrays.dense -
Uses of AbstractDoubleTensor in org.flag4j.arrays.sparse
Subclasses of AbstractDoubleTensor in org.flag4j.arrays.sparseModifier and TypeClassDescriptionclassA real sparse matrix stored in coordinate list (COO) format.classA real sparse tensor stored in coordinate list (COO) format.classA real sparse vector stored in coordinate list (COO) format.classInstances of this class represent a real sparse matrix using the compressed sparse row (CSR) format. -
Uses of AbstractDoubleTensor in org.flag4j.linalg.ops
Methods in org.flag4j.linalg.ops with type parameters of type AbstractDoubleTensorModifier and TypeMethodDescriptionstatic <T extends AbstractDoubleTensor<T>>
TTransposeDispatcher.dispatchTensor(T src, int axis1, int axis2) Dispatches a tensor transpose problem to the appropriate algorithm based on its shape and size.