-
I have been using `CVXOPT` lately and have found it brilliant for individual sparse cholesky decompositions. However, I was just wondering if `CVXOPT` has any plans in vectorising/broadcasting operati…
-
I was surprised by this:
```julia
julia> sqrt(5.0I)
ERROR: MethodError: no method matching sqrt(::UniformScaling{Float64})
Closest candidates are:
sqrt(::Float16) at math.jl:1085
sqrt(::Comp…
jagot updated
4 years ago
-
The following matrix cannot be decomposed even though it is unitary.
```
U = np.matrix([[(-0.7108860402090058-0.7033072016973199j),
(-9.403468524726843e-05+9.504800300819127e-…
-
Some thoughts about the structure of the library:
- sparse-traits: All interfaces and trait definitions
- sparse-core: Common sparse matrix implementations, vectors, etc. Essentially a minimum via…
-
System:
- Arch linux 64bit
- Nvidia 960 (4gb)
- Nvidia driver: 410-66
- Cuda version: 10.0.130
- Using arch linux's tensorflow-opt-cuda (or tensorflow-cuda) for GPU support
Tested:
- GPU supp…
-
### Describe the bug
Using the Bayesian Ridge Regression with MultiOutputRegression(n_jobs=-1) consumes all the memory on the computer and the process dies. (Tested with 128G Ram + 128G Swap)
### St…
-
To make it easier to write generalized code involving matrix inversion, it might be useful to have an `Invertible` typeclass with instances for `Fractional a => M22 a`, `Fractional a => M33 a`, and `F…
-
What's left to do in the np.linalg library?
-
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…
-
In GitLab by **spfeifer** on Nov 29, 2017, 14:13
The tangent stiffness matrix could technically be stored as a sparse matrix. The problem however (and the reason why currently a dense matrix is use…
stfnp updated
3 years ago