docs: update namespace table of contents

PR-URL: stdlib-js#3902
Reviewed-by: Athan Reines <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>
Co-authored-by: Philipp Burckhardt <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/array/base/README.md

@@ -77,7 +77,7 @@ The namespace exports the following:
 -   <span class="signature">[`bbinary4d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-binary4d]</span><span class="delimiter">: </span><span class="description">apply a binary callback to elements in two broadcasted nested input arrays and assign results to elements in a four-dimensional nested output array.</span>
 -   <span class="signature">[`bbinary5d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-binary5d]</span><span class="delimiter">: </span><span class="description">apply a binary callback to elements in two broadcasted nested input arrays and assign results to elements in a five-dimensional nested output array.</span>
 -   <span class="signature">[`bquaternary2d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-quaternary2d]</span><span class="delimiter">: </span><span class="description">apply a quaternary callback to elements in four broadcasted nested input arrays and assign results to elements in a two-dimensional nested output array.</span>
--   <span class="signature">[`bquinary2d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-quinary2d]</span><span class="delimiter">: </span><span class="description">apply a quinary callback to elements in four broadcasted nested input arrays and assign results to elements in a two-dimensional nested output array.</span>
+-   <span class="signature">[`bquinary2d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-quinary2d]</span><span class="delimiter">: </span><span class="description">apply a quinary callback to elements in five broadcasted nested input arrays and assign results to elements in a two-dimensional nested output array.</span>
 -   <span class="signature">[`bternary2d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-ternary2d]</span><span class="delimiter">: </span><span class="description">apply a ternary callback to elements in three broadcasted nested input arrays and assign results to elements in a two-dimensional nested output array.</span>
 -   <span class="signature">[`bunary2d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-unary2d]</span><span class="delimiter">: </span><span class="description">apply a unary callback to elements in a broadcasted nested input array and assign results to elements in a two-dimensional nested output array.</span>
 -   <span class="signature">[`bunary3d( arrays, shapes, fcn )`][@stdlib/array/base/broadcasted-unary3d]</span><span class="delimiter">: </span><span class="description">apply a unary callback to elements in a broadcasted nested input array and assign results to elements in a three-dimensional nested output array.</span>

lib/node_modules/@stdlib/blas/ext/base/README.md

@@ -82,8 +82,8 @@ var ns = extblas;
 -   <span class="signature">[`dsortins( N, order, x, stride )`][@stdlib/blas/ext/base/dsortins]</span><span class="delimiter">: </span><span class="description">sort a double-precision floating-point strided array using insertion sort.</span>
 -   <span class="signature">[`dsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/dsortsh]</span><span class="delimiter">: </span><span class="description">sort a double-precision floating-point strided array using Shellsort.</span>
 -   <span class="signature">[`dssum( N, x, stride )`][@stdlib/blas/ext/base/dssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.</span>
--   <span class="signature">[`dssumors( N, x, stride )`][@stdlib/blas/ext/base/dssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
--   <span class="signature">[`dssumpw( N, x, stride )`][@stdlib/blas/ext/base/dssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dssumors( N, x, strideX )`][@stdlib/blas/ext/base/dssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dssumpw( N, x, strideX )`][@stdlib/blas/ext/base/dssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsum( N, x, stride )`][@stdlib/blas/ext/base/dsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements.</span>
 -   <span class="signature">[`dsumkbn( N, x, stride )`][@stdlib/blas/ext/base/dsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`dsumkbn2( N, x, stride )`][@stdlib/blas/ext/base/dsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
@@ -155,7 +155,7 @@ var ns = extblas;
 -   <span class="signature">[`ssum( N, x, stride )`][@stdlib/blas/ext/base/ssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements.</span>
 -   <span class="signature">[`ssumkbn( N, x, stride )`][@stdlib/blas/ext/base/ssumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`ssumkbn2( N, x, stride )`][@stdlib/blas/ext/base/ssumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
--   <span class="signature">[`ssumors( N, x, stride )`][@stdlib/blas/ext/base/ssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
+-   <span class="signature">[`ssumors( N, x, strideX )`][@stdlib/blas/ext/base/ssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
 -   <span class="signature">[`ssumpw( N, x, strideX )`][@stdlib/blas/ext/base/ssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation.</span>
 
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