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kgryte merged 1 commit into from
Mar 3, 2026
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docs: update namespace table of contents #10668

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6 changes: 6 additions & 0 deletions lib/node_modules/@stdlib/stats/strided/distances/README.md
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Expand Up @@ -55,10 +55,12 @@ The namespace exports the following:

<div class="namespace-toc">

- <span class="signature">[`dchebyshev( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dchebyshev]</span><span class="delimiter">: </span><span class="description">compute the Chebyshev distance between two double-precision floating-point strided arrays.</span>
- <span class="signature">[`dcityblock( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcityblock]</span><span class="delimiter">: </span><span class="description">compute the city block (Manhattan) distance between two double-precision floating-point strided arrays.</span>
- <span class="signature">[`dcosineDistance( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcosine-distance]</span><span class="delimiter">: </span><span class="description">compute the cosine distance between two double-precision floating-point strided arrays.</span>
- <span class="signature">[`dcosineSimilarity( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcosine-similarity]</span><span class="delimiter">: </span><span class="description">compute the cosine similarity of two double-precision floating-point strided arrays.</span>
- <span class="signature">[`deuclidean( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/deuclidean]</span><span class="delimiter">: </span><span class="description">compute the Euclidean distance between two double-precision floating-point strided arrays.</span>
- <span class="signature">[`dminkowski( N, p, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dminkowski]</span><span class="delimiter">: </span><span class="description">compute the Minkowski distance between two double-precision floating-point strided arrays.</span>
- <span class="signature">[`dsquaredEuclidean( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dsquared-euclidean]</span><span class="delimiter">: </span><span class="description">compute the squared Euclidean distance between two double-precision floating-point strided arrays.</span>

</div>
Expand Down Expand Up @@ -112,6 +114,8 @@ console.log( objectKeys( ns ) );

<!-- <toc-links> -->

[@stdlib/stats/strided/distances/dchebyshev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dchebyshev

[@stdlib/stats/strided/distances/dcityblock]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcityblock

[@stdlib/stats/strided/distances/dcosine-distance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcosine-distance
Expand All @@ -120,6 +124,8 @@ console.log( objectKeys( ns ) );

[@stdlib/stats/strided/distances/deuclidean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/deuclidean

[@stdlib/stats/strided/distances/dminkowski]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dminkowski

[@stdlib/stats/strided/distances/dsquared-euclidean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dsquared-euclidean

<!-- </toc-links> -->
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