docs: update namespace table of contents

PR-URL: #5132

Co-authored-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: stdlib-bot

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

@@ -113,7 +113,7 @@ var ns = extblas;
 -   <span class="signature">[`gsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two strided arrays based on the sort order of the first array using heapsort.</span>
 -   <span class="signature">[`gsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two strided arrays based on the sort order of the first array using insertion sort.</span>
 -   <span class="signature">[`gsort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2sh]</span><span class="delimiter">: </span><span class="description">simultaneously sort two strided arrays based on the sort order of the first array using Shellsort.</span>
--   <span class="signature">[`gsorthp( N, order, x, stride )`][@stdlib/blas/ext/base/gsorthp]</span><span class="delimiter">: </span><span class="description">sort a strided array using heapsort.</span>
+-   <span class="signature">[`gsorthp( N, order, x, strideX )`][@stdlib/blas/ext/base/gsorthp]</span><span class="delimiter">: </span><span class="description">sort a strided array using heapsort.</span>
 -   <span class="signature">[`gsortins( N, order, x, stride )`][@stdlib/blas/ext/base/gsortins]</span><span class="delimiter">: </span><span class="description">sort a strided array using insertion sort.</span>
 -   <span class="signature">[`gsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/gsortsh]</span><span class="delimiter">: </span><span class="description">sort a strided array using Shellsort.</span>
 -   <span class="signature">[`gsum( N, x, strideX )`][@stdlib/blas/ext/base/gsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements.</span>

lib/node_modules/@stdlib/math/base/ops/README.md

@@ -45,9 +45,6 @@ The namespace contains the following functions:
 
 <div class="namespace-toc">
 
--   <span class="signature">[`add( x, y )`][@stdlib/number/float64/base/add]</span><span class="delimiter">: </span><span class="description">compute the sum of two double-precision floating-point numbers.</span>
--   <span class="signature">[`add3( x, y, z )`][@stdlib/number/float64/base/add3]</span><span class="delimiter">: </span><span class="description">compute the sum of three double-precision floating-point numbers.</span>
--   <span class="signature">[`add4( x, y, z, w )`][@stdlib/number/float64/base/add4]</span><span class="delimiter">: </span><span class="description">compute the sum of four double-precision floating-point numbers.</span>
 -   <span class="signature">[`add5( x, y, z, w, u )`][@stdlib/math/base/ops/add5]</span><span class="delimiter">: </span><span class="description">compute the sum of five double-precision floating-point numbers.</span>
 -   <span class="signature">[`addf( x, y )`][@stdlib/math/base/ops/addf]</span><span class="delimiter">: </span><span class="description">compute the sum of two single-precision floating-point numbers.</span>
 -   <span class="signature">[`cdiv( z1, z2 )`][@stdlib/math/base/ops/cdiv]</span><span class="delimiter">: </span><span class="description">divide two double-precision complex floating-point numbers.</span>
@@ -136,12 +133,6 @@ console.log( ns.imuldw( 0x80000000|0, 0x40000000|0 ) );
 
 <!-- <toc-links> -->
 
-[@stdlib/number/float64/base/add]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/float64/base/add
-
-[@stdlib/number/float64/base/add3]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/float64/base/add3
-
-[@stdlib/number/float64/base/add4]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/float64/base/add4
-
 [@stdlib/math/base/ops/add5]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/add5
 
 [@stdlib/math/base/ops/addf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/addf

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

@@ -126,7 +126,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dsnanmean( N, x, stride )`][@stdlib/stats/base/dsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsnanmeanors( N, x, stride )`][@stdlib/stats/base/dsnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsnanmeanpn( N, x, stride )`][@stdlib/stats/base/dsnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.</span>
--   <span class="signature">[`dsnanmeanwd( N, x, stride )`][@stdlib/stats/base/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
+-   <span class="signature">[`dsnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dstdev( N, correction, x, stride )`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dstdevch( N, correction, x, strideX )`][@stdlib/stats/base/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`dstdevpn( N, correction, x, stride )`][@stdlib/stats/base/dstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
@@ -146,7 +146,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dvarmtk( N, mean, correction, x, strideX )`][@stdlib/stats/base/dvarmtk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`maxBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/max-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function.</span>
 -   <span class="signature">[`max( N, x, strideX )`][@stdlib/stats/base/max]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array.</span>
--   <span class="signature">[`maxabs( N, x, stride )`][@stdlib/stats/base/maxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array.</span>
+-   <span class="signature">[`maxabs( N, x, strideX )`][@stdlib/stats/base/maxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array.</span>
 -   <span class="signature">[`maxsorted( N, x, stride )`][@stdlib/stats/base/maxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted strided array.</span>
 -   <span class="signature">[`mean( N, x, stride )`][@stdlib/stats/base/mean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array.</span>
 -   <span class="signature">[`meankbn( N, x, stride )`][@stdlib/stats/base/meankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.</span>
@@ -158,7 +158,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`mediansorted( N, x, stride )`][@stdlib/stats/base/mediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted strided array.</span>
 -   <span class="signature">[`minBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/min-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function.</span>
 -   <span class="signature">[`min( N, x, strideX )`][@stdlib/stats/base/min]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array.</span>
--   <span class="signature">[`minabs( N, x, stride )`][@stdlib/stats/base/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
+-   <span class="signature">[`minabs( N, x, strideX )`][@stdlib/stats/base/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
 -   <span class="signature">[`minsorted( N, x, stride )`][@stdlib/stats/base/minsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted strided array.</span>
 -   <span class="signature">[`mskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/mskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask.</span>
 -   <span class="signature">[`mskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/mskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask.</span>
@@ -196,7 +196,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`scumaxabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/scumaxabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.</span>
 -   <span class="signature">[`scumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/scumin]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum of single-precision floating-point strided array elements.</span>
 -   <span class="signature">[`scuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/scuminabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.</span>
--   <span class="signature">[`sdsmean( N, x, stride )`][@stdlib/stats/base/sdsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.</span>
+-   <span class="signature">[`sdsmean( N, x, strideX )`][@stdlib/stats/base/sdsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.</span>
 -   <span class="signature">[`sdsmeanors( N, x, strideX )`][@stdlib/stats/base/sdsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.</span>
 -   <span class="signature">[`sdsnanmean( N, x, stride )`][@stdlib/stats/base/sdsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using extended accumulation.</span>
 -   <span class="signature">[`sdsnanmeanors( N, x, stride )`][@stdlib/stats/base/sdsnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.</span>