Version 0.2.0
=============

Differences to Version 0.1.0
----------------------------

svds module
***********

:code:`tensornet.svd()` has new input parameters and less returns:

  .. py:function:: svd(tensor, u_indices, v_indices, chi=0, tol=0.0, relative=True, minimum=True, descriptions=[None]*4, names=["u","s","v"])

    :returns: u,s,v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.svd_factorize()` has been added:

  .. py:function:: single_svd_factorize(tensor, u_index, v_index=2, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v", descriptions=[None]*4, names=["u","s","v"])

    :returns: u, [s,] v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.svd_and_plug()` has new input parameters and less returns:

  .. py:function:: contract_and_svd(first_tensor, first_index, second_tensor, second_index, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v")

    :returns: u,v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.svd_and_plug()` has new input parameters and less returns:

  .. py:function:: svd_and_plug(first_tensor, first_index, second_tensor, second_index, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v")

    :returns: u,v
    :rtype: :py:class:`tensornet.tensor.Tensor`


other
*****

There are several additional methods and functions. However, they are not
garanteed by automated testing and might be included in later 0.2.x versions.


Differences Compared to DKilda Commit from 2019-03-08
-----------------------------------------------------

svds module
***********

:code:`tensornet.svd()` change parameter names:

  .. py:function:: svd(tensor, u_indices, v_indices, chi=0, tol=0.0, relative=True, minimum=True, descriptions=[None]*4, names=["u","s","v"])

    :returns: u,s,v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.svd_factorize()` change parameter names:

  .. py:function:: svd_factorize(tensor, u_indices, v_indices, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v", descriptions=[None]*4, names=["u","s","v"])

    :returns: u, [s,] v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.single_svd_factorize()` has been added:

  .. py:function:: single_svd_factorize(tensor, u_index, v_index=2, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v", descriptions=[None]*4, names=["u","s","v"])

    :returns: u, [s,] v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.svd_and_plug()` change parameter names:

  .. py:function:: contract_and_svd(first_tensor, first_index, second_tensor, second_index, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v")

    :returns: u,v
    :rtype: :py:class:`tensornet.tensor.Tensor`

:code:`tensornet.svd_and_plug()` change parameter names:

  .. py:function:: svd_and_plug(first_tensor, first_index, second_tensor, second_index, chi=0, tol=0.0, relative=True, minimum=True, ocenter="v")

    :returns: u,v
    :rtype: :py:class:`tensornet.tensor.Tensor`