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amontoison authored Oct 2, 2024
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# `KrylovPreconditioners.jl`

The best sidekick of [Krylov.jl](https://github.com/JuliaSmoothOptimizers/Krylov.jl) └(^o^ )X( ^o^)┘

| **Documentation** | **CI** | **Coverage** | **Downloads** |
|:-----------------:|:------:|:------------:|:-------------:|
| [![docs-stable][docs-stable-img]][docs-stable-url] [![docs-dev][docs-dev-img]][docs-dev-url] | [![build-gh][build-gh-img]][build-gh-url] [![build-cirrus][build-cirrus-img]][build-cirrus-url] | [![codecov][codecov-img]][codecov-url] | [![downloads][downloads-img]][downloads-url] |
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[downloads-img]: https://img.shields.io/badge/dynamic/json?url=http%3A%2F%2Fjuliapkgstats.com%2Fapi%2Fv1%2Fmonthly_downloads%2FKrylovPreconditioners&query=total_requests&suffix=%2Fmonth&label=Downloads
[downloads-url]: https://juliapkgstats.com/pkg/KrylovPreconditioners

The best sidekick of [Krylov.jl](https://github.com/JuliaSmoothOptimizers/Krylov.jl) └(^o^ )X( ^o^)┘

## How to Cite

If you use KrylovPreconditioners.jl in your work, please cite using the format given in [`CITATION.cff`](https://github.com/JuliaSmoothOptimizers/KrylovPreconditioners.jl/blob/main/CITATION.cff).

## Content
## Content

To further enhance the performance of [Krylov.jl](https://github.com/JuliaSmoothOptimizers/Krylov.jl), especially on GPUs, we recommend using `KrylovPreconditioners.jl`.
This package provides a variety of preconditioning strategies that can significantly improve convergence rates for Krylov solvers, making them even more efficient for large-scale problems.
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