From d6dad30aac27429b0dca194c9cd57cbddf98dc6a Mon Sep 17 00:00:00 2001 From: Tarn Yeong Ching Date: Thu, 19 Sep 2024 14:55:00 +0800 Subject: [PATCH] fix a broken link in docs --- docs/src/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/src/index.md b/docs/src/index.md index 69b5a87a..3b976db7 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -11,7 +11,7 @@ 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. -External packages which implement different sparse storage types, multidimensional sparse arrays, and more can be found in [Noteworthy External Sparse Packages](@ref) +External packages which implement different sparse storage types, multidimensional sparse arrays, and more can be found in [Noteworthy External Sparse Packages](@ref ext-pkg) ## [Compressed Sparse Column (CSC) Sparse Matrix Storage](@id man-csc) @@ -265,7 +265,7 @@ SparseArrays.ftranspose! DocTestSetup = nothing ``` -# Noteworthy External Sparse Packages +# [Noteworthy External Sparse Packages](@id ext-pkg) Several other Julia packages provide sparse matrix implementations that should be mentioned: