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12 changes: 9 additions & 3 deletions docs/src/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@ DocTestSetup = :(using SparseArrays, LinearAlgebra)
```

Julia has support for sparse vectors and [sparse matrices](https://en.wikipedia.org/wiki/Sparse_matrix)
in the `SparseArrays` stdlib module. Sparse arrays are arrays that contain enough zeros
that storing them in a special data structure leads to savings in space and execution time,
compared to dense arrays.
in the `SparseArrays` stdlib module. Sparse arrays are arrays that contain enough zeros that storing them in a special data structure leads to savings in space and execution time, compared to dense arrays.

External packages which implement different sparse storage types, multidimensional sparse arrays, and more can be found in [Noteworthy external packages](@ref man-csc)

## [Compressed Sparse Column (CSC) Sparse Matrix Storage](@id man-csc)

Expand Down Expand Up @@ -249,3 +249,9 @@ Several other Julia packages provide sparse matrix implementations that should b
3. [SparseMatricesCSR.jl](https://github.com/gridap/SparseMatricesCSR.jl) provides a Julia native implementation of the Compressed Sparse Rows (CSR) format.

4. [MKLSparse.jl](https://github.com/JuliaSparse/MKLSparse.jl) accelerates SparseArrays sparse-dense matrix operations using Intel's MKL library.

5. [SparseArrayKit.jl](https://github.com/Jutho/SparseArrayKit.jl) available for multidimensional sparse arrays.

6. [LuxurySparse.jl](https://github.com/QuantumBFS/LuxurySparse.jl) provides static sparse array formats, as well as a coordinate format.

7. [ExtendableSparse.jl](https://github.com/j-fu/ExtendableSparse.jl) enables fast insertion into sparse matrices using a lazy approach to new stored indices.