mark.tensor
(Package: tensorA) :
Marks the names of a tensor with a mark
This modifies the names of the dimensions in a simple and reversible way by adding a mark.
● Data Source:
CranContrib
● Keywords: arith
● Alias: mark, mark.character, mark.numeric, mark.tensor
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solve.tensor
(Package: tensorA) :
Solving linear equations with tensors
We can formulate linear equation systems with tensors. This functions solves these systems or gives a least squares fit of minimal norm.
● Data Source:
CranContrib
● Keywords: arith
● Alias: solve.tensor
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slice.tensor
(Package: tensorA) :
Working with the indices of a tensor (accessing, slicing, renaming, ...)
Indexing of tensors allows beside the ordinary selection of ranges of indices the renaming of indices. The functions are mainly here to keep the the tensor property of the results.
● Data Source:
CranContrib
● Keywords: arith
● Alias: [.tensor, [<-.tensor, [[.tensor, [[<-.tensor, slice.tensor
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to.matrix.tensor
(Package: tensorA) :
The matrix corresponding to a tensor seen as a linear mapping of tensors.
A tensor can be seen as a linear mapping of a tensor to a tensor. This function gives the corresponding matrix of the mapping.
● Data Source:
CranContrib
● Keywords: arith
● Alias: to.matrix.tensor
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diagmul.tensor
(Package: tensorA) :
Multiplication of a tensor with a tensor given by its diagonal
This is a convenience function for scaling elements of a tensor with different numbers based on their position in the tensor.
● Data Source:
CranContrib
● Keywords: arith
● Alias: diagmul.tensor
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svd.tensor
(Package: tensorA) :
Singular value decomposition of tensors
A tensor can be seen as a linear mapping of a tensor to a tensor. This function computes the singular value decomposition of this mapping
● Data Source:
CranContrib
● Keywords: arith
● Alias: svd.tensor
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delta.tensor
(Package: tensorA) :
Creates a Kronecker delta tensor
The delta tensor is the tensor equivalent of the identity.
● Data Source:
CranContrib
● Keywords: arith
● Alias: delta.tensor
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diag.tensor
(Package: tensorA) :
Creates a "diagonal" tensor
The diagonal tensor is the tensor equivalent of the diagonal matrix.
● Data Source:
CranContrib
● Keywords: arith
● Alias: diag.tensor
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to.tensor
(Package: tensorA) :
Creates a tensor object
Constructs a "tensor". A tensor is the generalization of vectors and matrices to multi-index arrays.
● Data Source:
CranContrib
● Keywords: algebra
● Alias: to.tensor, to.tensor.default
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reorder.tensor
(Package: tensorA) :
Permutation of indices and storage sequence of a tensor
This permutes tensor dimensions like aperm. However the interface is more flexible since not all dimensions have to given and names can be used instead of numbers.
● Data Source:
CranContrib
● Keywords: array
● Alias: reorder.tensor
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