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diff --git a/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/SuiteSparse/docs/src/index.md b/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/SuiteSparse/docs/src/index.md new file mode 100644 index 0000000..e8654ca --- /dev/null +++ b/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/SuiteSparse/docs/src/index.md @@ -0,0 +1,34 @@ +# Sparse Linear Algebra + +```@meta +DocTestSetup = :(using LinearAlgebra, SparseArrays, SuiteSparse) +``` + +Sparse matrix solvers call functions from [SuiteSparse](http://suitesparse.com). The following factorizations are available: + +| Type | Description | +|:--------------------------------- |:--------------------------------------------- | +| `SuiteSparse.CHOLMOD.Factor` | Cholesky factorization | +| `SuiteSparse.UMFPACK.UmfpackLU` | LU factorization | +| `SuiteSparse.SPQR.QRSparse` | QR factorization | + +Other solvers such as [Pardiso.jl](https://github.com/JuliaSparse/Pardiso.jl/) are as external packages. [Arpack.jl](https://julialinearalgebra.github.io/Arpack.jl/stable/) provides `eigs` and `svds` for iterative solution of eigensystems and singular value decompositions. + +These factorizations are described in the [`Linear Algebra`](@ref man-linalg) section of the manual: +1. [`cholesky`](@ref) +2. [`ldlt`](@ref) +3. [`lu`](@ref) +4. [`qr`](@ref) + +```@docs +SuiteSparse.CHOLMOD.lowrankupdate +SuiteSparse.CHOLMOD.lowrankupdate! +SuiteSparse.CHOLMOD.lowrankdowndate +SuiteSparse.CHOLMOD.lowrankdowndate! +SuiteSparse.CHOLMOD.lowrankupdowndate! +``` + + +```@meta +DocTestSetup = nothing +``` |