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sparse linear algebra library for rust

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I am new to sprs library, I do not understand why the following program does not compile: ```rust use num_traits::Float; use sprs::CsMat; fn test(val: F) -> CsMat { let a...

I am considering to start experimenting with a Python wrapper for sprs, probably in some separate repo. The situation with sparse array libraries is not so great in the Python...

Currently only sparse by sparse products are parallel in the `smmp` module. Converting the current sparse by dense products using `ndarray::parallel` should be straight forward. Here is an implementation for...

Hi, a while back I mentioned that I had written some Python code to wrapper `sprs`. I got permission to open-source that code (Apache license), and thought I should mention...

Recently I was writing tests to read matrix market files written by Scipy, and I made the mistake of writing a diagonal matrix with scipy as "skew-symmetric" and then reading...

As mentioned in https://github.com/vbarrielle/sprs/issues/278#issuecomment-820984278, I'm currently lacking the time to work on this crate, and I'm unsure when I'll have the time and motivation again. I think it's probably a...

I just found out that my implementation of an ML model has been training up to several times slower than before. After some debugging, turns out that the cause was...

I've been using `sprs-ldl` to solve some symmetric sparse matrix systems and found the performance to be surprisingly poor. `lsolve_csc_dense_rhs` has had significantly better performance. Here is the benchmark I've...

Starts on #298. Using `ndarray` parallel iterators this is the naive conversion of the sparse by dense products to a multithreaded implementation. Ideally, there is a `rayon` `into_par_iter` implemenation for...