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HYPRE.jl
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Fix links in README

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Fredrik Ekre 11 months ago
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      README.md

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@ -1,12 +1,13 @@
# HYPRE.jl # HYPRE.jl
| **Documentation** | **Build Status** | [![Documentation](https://img.shields.io/badge/docs-latest%20release-blue.svg)](https://fredrikekre.github.io/HYPRE.jl/)
|:------------------------- |:------------------------------------- | [![Test](https://github.com/fredrikekre/HYPRE.jl/actions/workflows/Test.yml/badge.svg?branch=master&event=push)](https://github.com/fredrikekre/HYPRE.jl/actions/workflows/Test.yml)
| [![][docs-img]][docs-url] | [![][gh-actions-img]][gh-actions-url] | [![Codecov](https://codecov.io/github/fredrikekre/HYPRE.jl/graph/badge.svg)](https://codecov.io/github/fredrikekre/HYPRE.jl)
[![code style: runic](https://img.shields.io/badge/code_style-%E1%9A%B1%E1%9A%A2%E1%9A%BE%E1%9B%81%E1%9A%B2-black)](https://github.com/fredrikekre/Runic.jl)
[Julia][julia] interface to [HYPRE][hypre] ("high performance preconditioners and solvers [Julia](https://julialang.org) interface to [HYPRE](https://github.com/hypre-space/hypre)
featuring multigrid methods for the solution of large, sparse linear systems of equations on ("high performance preconditioners and solvers featuring multigrid methods for the solution
massively parallel computers"). of large, sparse linear systems of equations on massively parallel computers").
While the main purpose of HYPRE is to solve problems on multiple cores, it can also be used While the main purpose of HYPRE is to solve problems on multiple cores, it can also be used
for single core problems. HYPRE.jl aims to make it easy to use both modes of operation, with for single core problems. HYPRE.jl aims to make it easy to use both modes of operation, with
@ -22,7 +23,7 @@ HYPRE.jl can be installed from the Pkg REPL (press `]` in the Julia REPL to ente
(@v1) pkg> add HYPRE (@v1) pkg> add HYPRE
``` ```
To configure MPI, see the [documentation for MPI.jl][mpi-docs]. To configure MPI, see the [documentation for MPI.jl](https://juliaparallel.org/MPI.jl/).
## Changes ## Changes
@ -35,9 +36,10 @@ Some basic usage examples are shown below. See the [documentation][docs-url] for
### Example: Single-core solve with standard sparse matrices ### Example: Single-core solve with standard sparse matrices
It is possible to use Julia's standard sparse arrays (`SparseMatrixCSC` from the It is possible to use Julia's standard sparse arrays (`SparseMatrixCSC` from the
[SparseArrays.jl][sparse-stdlib] standard library, and `SparseMatrixCSR` from the [SparseArrays.jl](https://github.com/JuliaSparse/SparseArrays.jl) standard library, and
[SparseMatricesCSR.jl][sparsecsr] package) directly in HYPRE.jl. For example, to solve `SparseMatrixCSR` from the
`Ax = b` with conjugate gradients: [SparseMatricesCSR.jl](https://github.com/gridap/SparseMatricesCSR.jl) package) directly in
HYPRE.jl. For example, to solve `Ax = b` with conjugate gradients:
```julia ```julia
# Initialize linear system # Initialize linear system
@ -53,10 +55,10 @@ x = HYPRE.solve(cg, A, b)
### Example: Multi-core solve using PartitionedArrays.jl ### Example: Multi-core solve using PartitionedArrays.jl
For multi-core problems it is possible to use [PartitionedArrays.jl][partarrays] directly For multi-core problems it is possible to use
with HYPRE.jl. Once the linear system is setup the solver interface is identical. For [PartitionedArrays.jl](https://github.com/fverdugo/PartitionedArrays.jl) directly with
example, to solve `Ax = b` with bi-conjugate gradients and an algebraic multigrid HYPRE.jl. Once the linear system is setup the solver interface is identical. For example, to
preconditioner: solve `Ax = b` with bi-conjugate gradients and an algebraic multigrid preconditioner:
```julia ```julia
# Initialize linear system # Initialize linear system
@ -72,15 +74,3 @@ bicg = HYPRE.BiCGSTAB(; Precond = precond)
# Compute the solution # Compute the solution
x = HYPRE.solve(bicg, A, b) x = HYPRE.solve(bicg, A, b)
``` ```
[julia]: https://julialang.org/
[hypre]: https://github.com/hypre-space/hypre
[mpi-docs]: https://juliaparallel.org/MPI.jl/
[sparse-stdlib]: https://github.com/JuliaSparse/SparseArrays.jl
[sparsecsr]: https://github.com/gridap/SparseMatricesCSR.jl
[partarrays]: https://github.com/fverdugo/PartitionedArrays.jl
[docs-img]: https://img.shields.io/badge/docs-stable%20release-blue.svg
[docs-url]: https://fredrikekre.github.io/HYPRE.jl/
[gh-actions-img]: https://github.com/fredrikekre/HYPRE.jl/actions/workflows/Test.yml/badge.svg?branch=master&event=push
[gh-actions-url]: https://github.com/fredrikekre/HYPRE.jl/actions/workflows/Test.yml?query=branch%3Amaster

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