tucker3d is Python implementation of the Tucker format in the three-dimensional case. This implemetation includes

• Basic linear algebra operations
• New version of the cross approximation method (it allows to construct tucker representation of a tensor by using only few of its elements)
• Element-wise functions (multifun in the cross module)
• 3D convolutions (cross-conv algorithm, see http://arxiv.org/pdf/1402.5649.pdf for details)

Tucker format is a low-parametric representation of multidimensional arrays (tensors). This representaion is based on the idea of separation of variables (so-called tensor format).

If a Tucker representation of some tensors is given and it has low number of parameters, then basic linear algebra operations are fast to compute.

First, to clone this repository run

git clone git://github.com/rakhuba/tucker3d

Then go to 'maxvol' directory:

cd tucker3d/core/maxvol

and run

python setup.py build_ext --inplace