docs: update namespace table of contents

PR-URL: #3261
Reviewed-by: Athan Reines <kgryte@gmail.com>
Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
Co-authored-by: Philipp Burckhardt <pburckhardt@outlook.com>

Author: stdlib-bot

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

@@ -43,7 +43,7 @@ var ns = extblas;
 
 <div class="namespace-toc">
 
--   <span class="signature">[`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]</span><span class="delimiter">: </span><span class="description">add a constant to each element in a double-precision floating-point strided array.</span>
+-   <span class="signature">[`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum.</span>
 -   <span class="signature">[`dapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`dapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
@@ -67,13 +67,13 @@ var ns = extblas;
 -   <span class="signature">[`dnansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`dnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`dnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
--   <span class="signature">[`dnansumpw( N, x, stride )`][@stdlib/blas/ext/base/dnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
+-   <span class="signature">[`dnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/dnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
 -   <span class="signature">[`drev( N, x, strideX )`][@stdlib/blas/ext/base/drev]</span><span class="delimiter">: </span><span class="description">reverse a double-precision floating-point strided array in-place.</span>
--   <span class="signature">[`dsapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/dsapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element, and compute the sum using extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsumpw]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element, and compute the sum using pairwise summation with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsnannsumors( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dsnannsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsnansum( N, x, stride )`][@stdlib/blas/ext/base/dsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.</span>
--   <span class="signature">[`dsnansumors( N, x, stride )`][@stdlib/blas/ext/base/dsnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
+-   <span class="signature">[`dsnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dsnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsnansumpw( N, x, stride )`][@stdlib/blas/ext/base/dsnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using pairwise summation with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
 -   <span class="signature">[`dsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>