docs: update namespace table of contents

PR-URL: #12189
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

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

@@ -67,6 +67,7 @@ The namespace exposes the following APIs:
 -   <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>
 -   <span class="signature">[`scopy( arrays )`][@stdlib/blas/base/ndarray/scopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional single-precision floating-point ndarray `x` into a one-dimensional single-precision floating-point ndarray `y`.</span>
 -   <span class="signature">[`sdot( arrays )`][@stdlib/blas/base/ndarray/sdot]</span><span class="delimiter">: </span><span class="description">calculate the dot product of two one-dimensional single-precision floating-point ndarrays.</span>
+-   <span class="signature">[`snrm2( arrays )`][@stdlib/blas/base/ndarray/snrm2]</span><span class="delimiter">: </span><span class="description">compute the L2-norm of a one-dimensional single-precision floating-point ndarray.</span>
 -   <span class="signature">[`sscal( arrays )`][@stdlib/blas/base/ndarray/sscal]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision floating-point ndarray by a scalar constant.</span>
 -   <span class="signature">[`sswap( arrays )`][@stdlib/blas/base/ndarray/sswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional single-precision floating-point ndarrays.</span>
 -   <span class="signature">[`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision complex floating-point ndarray `y`.</span>
@@ -160,6 +161,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/base/ndarray/sdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sdot
 
+[@stdlib/blas/base/ndarray/snrm2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/snrm2
+
 [@stdlib/blas/base/ndarray/sscal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sscal
 
 [@stdlib/blas/base/ndarray/sswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sswap

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

@@ -129,6 +129,7 @@ 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">[`gaxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/gaxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a strided array by a scalar constant and add a scalar constant to each result.</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">[`gcartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/gcartesian-square]</span><span class="delimiter">: </span><span class="description">compute the Cartesian square 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>
@@ -467,6 +468,8 @@ 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/gaxpb]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gaxpb
+
 [@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/gcartesian-square]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gcartesian-square

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

@@ -280,8 +280,10 @@ The namespace contains the following multidimensional array utility functions:
 
 -   <span class="signature">[`defaults()`][@stdlib/ndarray/defaults]</span><span class="delimiter">: </span><span class="description">default ndarray settings.</span>
 -   <span class="signature">[`dispatch( fcns, types, data, nargs, nin, nout )`][@stdlib/ndarray/dispatch]</span><span class="delimiter">: </span><span class="description">create an ndarray function interface which performs multiple dispatch.</span>
+-   <span class="signature">[`falses( shape[, options] )`][@stdlib/ndarray/falses]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `false` values and having a specified shape and data type.</span>
 -   <span class="signature">[`forEach( x, fcn[, thisArg] )`][@stdlib/ndarray/for-each]</span><span class="delimiter">: </span><span class="description">invoke a callback function once for each ndarray element.</span>
 -   <span class="signature">[`orders()`][@stdlib/ndarray/orders]</span><span class="delimiter">: </span><span class="description">list of ndarray orders.</span>
+-   <span class="signature">[`trues( shape[, options] )`][@stdlib/ndarray/trues]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `true` values and having a specified shape and data type.</span>
 
 </div>
 
@@ -328,10 +330,14 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/dispatch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dispatch
 
+[@stdlib/ndarray/falses]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/falses
+
 [@stdlib/ndarray/for-each]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/for-each
 
 [@stdlib/ndarray/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders
 
+[@stdlib/ndarray/trues]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/trues
+
 [@stdlib/ndarray/base]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base
 
 [@stdlib/ndarray/iter]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/iter