You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
If you have a fixed tensor X and fix some indices, then contracting this tensor with another tensor along the given indices is a linear map on tensors (of each fixed size). It would be nice if this package provided a way to solve linear systems of this form. Technically, this should be no more difficult than inverting a matrix -- the request is just for a way to support solving the system within the tensor notation.
The text was updated successfully, but these errors were encountered:
Do you have a good tensor notation convention for denoting this operation? I/You can of course easily write a function for that and to the necessary permutations and reshapes, but I read your request as having this supported within the @tensor macro?
Yeah, that was my suggestion, but indeed a great notation does not come to mind. Perhaps a more achievable goal would be a nice notation for reshaping an array within the @tensor macro? E.g. a way if I have a tensor with 4 indices to "combine" the first and second indices, or the second and third, or the first and third and fourth, etc?
If you have a fixed tensor X and fix some indices, then contracting this tensor with another tensor along the given indices is a linear map on tensors (of each fixed size). It would be nice if this package provided a way to solve linear systems of this form. Technically, this should be no more difficult than inverting a matrix -- the request is just for a way to support solving the system within the tensor notation.
The text was updated successfully, but these errors were encountered: