Tensor Types
============

.. toctree::
    :maxdepth: 1

    Dense Tensors (tensor)<tutorial/class_tensor.ipynb>
    Sparse Tensors (sptensor)<tutorial/class_sptensor.ipynb>
    Tucker Tensors (sptensor)<tutorial/class_ttensor.ipynb>
    Kruskal Tensors (ktensor)<tutorial/class_ktensor.ipynb>
    Sum of Structured Tensors (sumtensor)<tutorial/class_sumtensor.ipynb>

CP Decompositions
=================

.. toctree::
   :maxdepth: 1

   Alternating Least Squares (cp_als)<tutorial/algorithm_cp_als.ipynb>
   Alternating Poisson Regression (cp_apr)<tutorial/algorithm_cp_apr.ipynb>
   Generalized CP (gcp_opt)<tutorial/algorithm_gcp_opt.ipynb>

Tucker Decompositions
=====================

.. toctree::
   :maxdepth: 1

   Higher-order SVD (hosvd)<tutorial/algorithm_hosvd.ipynb>
   Alternating Least Squares (tucker_als)<tutorial/algorithm_tucker_als.ipynb>

Working with Tensors
====================

.. toctree::
   :maxdepth: 1

   Creating Test Problems<tutorial/utility_test_problem.ipynb>   

Converting Between Tensors and Matrices
---------------------------------------

.. toctree::
   :maxdepth: 1

   Dense Case<tutorial/class_tenmat.ipynb>
   Sparse Case<tutorial/class_sptenmat.ipynb>