Wolfram Language Paclet Repository
Community-contributed installable additions to the Wolfram Language
RubenRanval`TensorTrainTools`
TensorTrainNorm  |
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The norm is computed without forming the dense tensor: the train is left-orthogonalized, after which the norm equals the Euclidean norm of the single non-orthonormal core.
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Examples
(1)
Basic Examples
(1)
Get the norm of a random tensor train:
In[1]:=
tt=TensorTrainDecomposition[RandomReal[1,{1,2,3}]];TensorTrainNorm[tt]
Out[1]=
1.75589
In[2]:=
TensorTrainNorm[tt]Sqrt[TensorTrainInnerProduct[tt,tt]]
Out[2]=
True
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