-
-
Chapter 7 is getting a bit out of control. Meanwhile, Chapter 1 is simultaneously an intro chapter and a "viewer features" chapter. Let's use this issue to discuss some reorganization. For reference, …
-
Hey there!
My lab spends a lot of time taking SVDs of, let's say, "nearly nice" matrices. For these matrices, we can often compute `t(A) %*% x` and `A %*% x` in a reasonable amount of time if we gi…
-
There are few things that make me feel confused, I just what to make sure I understand correctly.
1. ReadMe
- The large q and qdot in **Generalized Coordinates and Velocities** should only be x0, …
-
Hello!
Thank you for the code release for "Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses" paper.
In the paper, you desribe a normalisation of the ground-tru…
-
I am implementing randomized SVD in BidMach/BidMat, which I would love to contribute to BidMach later if possible :-).
One of the steps of my algorithm involves, for a large dense matrix A, computing …
-
For symmetric 3x3 matrices:
https://dl.acm.org/doi/abs/10.1145/355578.366316
Singular Value decomp:
https://minds.wisconsin.edu/handle/1793/60736
I' be happy to contribute this feature.
-
Update the method of decomposing mixed states to pure states. At the moment we just do an eigen decomposition. To give the main pure state more meaning, it should be what the state would be if it was …
-
It would be nice to have a simplified interface for a general linear constant coefficient PDE of the form `du/dt + A*du/dx + B*du/dy + C*du/dz = f` where the matrices A, B, C are specified. Assuming c…
-
This will allow the equilibrium frequencies and the data type to be provided by the SubstitutionModel along with the instantaneous rate matrix.