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@@ -42,5 +42,5 @@ To enhance the performance of [Krylov.jl](https://github.com/JuliaSmoothOptimize
This package provides a variety of preconditioning strategies that significantly improve convergence rates for Krylov solvers, making them more efficient for large-scale problems.
It also contains operators that improve the efficiency of sparse matrix-dense vector products and sparse triangular solves on different GPUs, ensuring better performance on modern hardware.
KrylovPreconditioners.jl is the best sidekick of Krylov.jl. └(^o^ )Ｘ( ^o^)┘
[KrylovPreconditioners.jl](https://github.com/JuliaSmoothOptimizers/KrylovPreconditioners.jl) is the best sidekick of [Krylov.jl](https://github.com/JuliaSmoothOptimizers/Krylov.jl). └(^o^ )Ｘ( ^o^)┘
