docs: update namespace table of contents

PR-URL: #11961

Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>
Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>

Author: stdlib-bot

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

@@ -47,6 +47,7 @@ The namespace exposes the following APIs:
 
 -   <span class="signature">[`caxpy( arrays )`][@stdlib/blas/base/ndarray/caxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision complex floating-point ndarray `y`.</span>
 -   <span class="signature">[`ccopy( arrays )`][@stdlib/blas/base/ndarray/ccopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`.</span>
+-   <span class="signature">[`cscal( arrays )`][@stdlib/blas/base/ndarray/cscal]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision complex floating-point ndarray by a scalar constant.</span>
 -   <span class="signature">[`cswap( arrays )`][@stdlib/blas/base/ndarray/cswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional single-precision complex floating-point ndarrays.</span>
 -   <span class="signature">[`dasum( arrays )`][@stdlib/blas/base/ndarray/dasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray.</span>
 -   <span class="signature">[`daxpy( arrays )`][@stdlib/blas/base/ndarray/daxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional double-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision floating-point ndarray `y`.</span>
@@ -58,6 +59,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`gaxpy( arrays )`][@stdlib/blas/base/ndarray/gaxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional ndarray `x` by a constant `alpha` and add the result to a one-dimensional ndarray `y`.</span>
 -   <span class="signature">[`gcopy( arrays )`][@stdlib/blas/base/ndarray/gcopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional ndarray `x` into a one-dimensional ndarray `y`.</span>
 -   <span class="signature">[`gdot( arrays )`][@stdlib/blas/base/ndarray/gdot]</span><span class="delimiter">: </span><span class="description">calculate the dot product of two one-dimensional ndarrays.</span>
+-   <span class="signature">[`gscal( arrays )`][@stdlib/blas/base/ndarray/gscal]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional ndarray by a scalar constant.</span>
 -   <span class="signature">[`gswap( arrays )`][@stdlib/blas/base/ndarray/gswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional ndarrays.</span>
 -   <span class="signature">[`sasum( arrays )`][@stdlib/blas/base/ndarray/sasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values for all elements in a one-dimensional single-precision floating-point ndarray.</span>
 -   <span class="signature">[`saxpy( arrays )`][@stdlib/blas/base/ndarray/saxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision floating-point ndarray `y`.</span>
@@ -114,6 +116,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/base/ndarray/ccopy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/ccopy
 
+[@stdlib/blas/base/ndarray/cscal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/cscal
+
 [@stdlib/blas/base/ndarray/cswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/cswap
 
 [@stdlib/blas/base/ndarray/dasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/dasum
@@ -136,6 +140,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/base/ndarray/gdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gdot
 
+[@stdlib/blas/base/ndarray/gscal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gscal
+
 [@stdlib/blas/base/ndarray/gswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gswap
 
 [@stdlib/blas/base/ndarray/sasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sasum

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

@@ -122,6 +122,7 @@ var o = ns;
 -   <span class="signature">[`gapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using ordinary recursive summation.</span>
 -   <span class="signature">[`gapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using pairwise summation.</span>
 -   <span class="signature">[`gasumpw( N, x, strideX )`][@stdlib/blas/ext/base/gasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of strided array elements using pairwise summation.</span>
+-   <span class="signature">[`gcartesianPower( order, N, k, x, strideX, out, LDO )`][@stdlib/blas/ext/base/gcartesian-power]</span><span class="delimiter">: </span><span class="description">compute the Cartesian power for a strided array.</span>
 -   <span class="signature">[`gcircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/gcircshift]</span><span class="delimiter">: </span><span class="description">circularly shift the elements of a strided array by a specified number of positions.</span>
 -   <span class="signature">[`gconjoin( N, prefix, suffix, conjunction, oxfordComma, x, strideX )`][@stdlib/blas/ext/base/gconjoin]</span><span class="delimiter">: </span><span class="description">return a string created by joining strided array elements into a human-readable list using a conjunction.</span>
 -   <span class="signature">[`gcusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of strided array elements.</span>
@@ -176,6 +177,7 @@ var o = ns;
 -   <span class="signature">[`sapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumors]</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 ordinary recursive summation.</span>
 -   <span class="signature">[`sapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumpw]</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 pairwise summation.</span>
 -   <span class="signature">[`sasumpw( N, x, strideX )`][@stdlib/blas/ext/base/sasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation.</span>
+-   <span class="signature">[`scartesianPower( order, N, k, x, strideX, out, LDO )`][@stdlib/blas/ext/base/scartesian-power]</span><span class="delimiter">: </span><span class="description">compute the Cartesian power for a single-precision floating-point strided array.</span>
 -   <span class="signature">[`scartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/scartesian-square]</span><span class="delimiter">: </span><span class="description">compute the Cartesian square for a single-precision floating-point strided array.</span>
 -   <span class="signature">[`scircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/scircshift]</span><span class="delimiter">: </span><span class="description">circularly shift the elements of a single-precision floating-point strided array by a specified number of positions.</span>
 -   <span class="signature">[`scusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements.</span>
@@ -437,6 +439,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/gasumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gasumpw
 
+[@stdlib/blas/ext/base/gcartesian-power]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gcartesian-power
+
 [@stdlib/blas/ext/base/gcircshift]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gcircshift
 
 [@stdlib/blas/ext/base/gconjoin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gconjoin
@@ -545,6 +549,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/sasumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/sasumpw
 
+[@stdlib/blas/ext/base/scartesian-power]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/scartesian-power
+
 [@stdlib/blas/ext/base/scartesian-square]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/scartesian-square
 
 [@stdlib/blas/ext/base/scircshift]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/scircshift

lib/node_modules/@stdlib/stats/strided/distances/README.md

@@ -57,6 +57,7 @@ The namespace exports the following:
 
 -   <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">[`dcorrelation( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcorrelation]</span><span class="delimiter">: </span><span class="description">compute the correlation 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>
@@ -118,6 +119,8 @@ console.log( objectKeys( ns ) );
 
 [@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/dcorrelation]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcorrelation
+
 [@stdlib/stats/strided/distances/dcosine-distance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcosine-distance
 
 [@stdlib/stats/strided/distances/dcosine-similarity]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcosine-similarity