-
With the latest release (v0.13) nalgebra now supports Rust-native implementations of the following matrix factorizations:
> In particular, this release includes pure-rust implementations of the fol…
-
Moved from former wiki page of the same title (Wiki page was removed).
### Introduction
Stan's linear algebra functions assume dense matrices with no special structure. We intend to add speciali…
-
Hi there, nice package.
I'd like to compute the full hosvd of a large sparse tensor. I thought I could use the method tucker.hosvd, but it breaks for me.
Here is a small example:
```
T = sptensor((…
-
Can we add an option for calculating the transformation matrix/change of basis matrix? That is, the matrix that maps the generators of the ideal to the Gröbner basis (see for example [Oscar.jl](https:…
-
The following Linear Operator Library has recently been released, https://cola.readthedocs.io/en/latest/index.html, which allows for lazy evaluation in the following manner,
`lazy_A = cola.fns.lazi…
-
Thank you for your wonderful work and algorithm! I found it really helpful.
Now I am trying to apply inkpca to a large image dataset. However, I found that in the 'experiments.py', there are no resul…
-
Hi,
I'm using armadillo to do eigendecomposition on some sparse matrices. armadillo uses SuperLU and ARPACK for this.
In particular, for the matrices I'm interested in, armadillo uses zgstrf, zgst…
-
Most of the factorisations that PyTorch has (LU, Cholesky, SVD, eigendecomposition...) have differentiability problems on some matrices. Those that are spectral decompositions (SVD, eig, eigh) have pr…
-
I am finding that fmmax can hang or be unexpectedly slow in certain scenarios, specifically on GPU platform with uniform patterned layers and using a vector formulation.
I put together a colab whic…
-
For all Mahalanobis metric learners, we should be able to reduce the dimension. For those that optimize the transformation matrix `L`, this can be done explicitely by setting the matrix at init to hav…