Closed KikeM closed 3 years ago
(For the forcing term in MFP-1
, whose equation is a parametrised parabola).
I have scaled the vectors by their norm before proceeding to orthogonalise them with the SVD. This hasn't had any impact.
So I checked the spectrum of the singular values ... and tachan!
After basis number 2, the singular values decay to 1e-15
!
Empirically, with what I am seeing, after a given threshold in the spectrum, the basis vectors must be disregarded:
I observed during the implementation of the DEIM algorithm (#22) that when I increase the number of nodes, the two boundary point where coming out as interpolation nodes (which is not necessarily a problem).
Yet, when I checked the basis vectors, I realised that the homogeneous boundary conditions are not being honoured by all basis vectors.
I went to check the boundary conditions of the vectors in the naive ROM for
MFP-1
... and not all of them satisfy the boundary values either! I performed a visual check on the basis vectors, only to find out that most of them are smooth up to basis vector 11.I think this might have to do with using the snapshots as they are, without any prior orthogonalisation, scaling with their norm, etc.