Version 0.2.0¶

Differences to Version 0.1.0¶

svds module¶

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

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

Return type: tensornet.tensor.Tensor

tensornet.svd_factorize() has been added:

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

Return type: tensornet.tensor.Tensor

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

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

Return type: tensornet.tensor.Tensor

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

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

Return type: 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¶

tensornet.svd() change parameter names:

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

Return type: tensornet.tensor.Tensor

tensornet.svd_factorize() change parameter names:

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

Return type: tensornet.tensor.Tensor

tensornet.single_svd_factorize() has been added:

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

Return type: tensornet.tensor.Tensor

tensornet.svd_and_plug() change parameter names:

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

Return type: tensornet.tensor.Tensor

tensornet.svd_and_plug() change parameter names:

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

Return type: tensornet.tensor.Tensor