Tensor assigner

Linear Algebra
1

Is there any way that I can assign the tensor for the calculation of the next step?

I mean the version for the tensor like “~~.vector()[:] = ~~” which we use for the vector.

Thanks for your help in advance!

2

If you want to assign values to subspaces of your tensor valued Function consider FunctionAssigner.

I think perhaps you’re confusing the nature of Function.vector() which returns the underlying data array (also called a vector in computer science), with an actual vector valued mathematical entity.

1 Like
3

Thanks, Nate!

I’m still confusing about data returning process…

I did the same thing as you mentioned above,

Function2 = Function1.vector(), for the case of both the function 1 and function 2 are vectors.

But when the case of the tensor, the method cannot be applied in the same way… (I mean function 1 and 2 are tensor forms.)

Backward Euler

def der_be_(U, Uprev, dT):
U_ = U.vector()[:]
Uprev_ = Uprev.vector()[:]
return (U_ - Uprev_) / dT

In the above case, in the function definition step, the U is tensor and the above code does not work well.

The error message is as follows.

  • AttributeError: ‘ListTensor’ object has no attribute ‘vector’

Is there any other proper way to definite for the tensor well?

Thanks a lot.

4

Sorry, I had mistake in the process of tensor input before the definition of function.

It works well.

Thank you for your attention!