docs: update namespace table of contents

PR-URL: #11637

Co-authored-by: Philipp Burckhardt <pburckhardt@outlook.com>
Reviewed-by: Athan Reines <kgryte@gmail.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

@@ -48,12 +48,15 @@ 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">[`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>
+-   <span class="signature">[`dcopy( arrays )`][@stdlib/blas/base/ndarray/dcopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional double-precision floating-point ndarray `x` into a one-dimensional double-precision floating-point ndarray `y`.</span>
 -   <span class="signature">[`ddot( arrays )`][@stdlib/blas/base/ndarray/ddot]</span><span class="delimiter">: </span><span class="description">calculate the dot product of two one-dimensional double-precision floating-point ndarrays.</span>
 -   <span class="signature">[`gasum( arrays )`][@stdlib/blas/base/ndarray/gasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values for all elements in a one-dimensional ndarray.</span>
 -   <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">[`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>
+-   <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">[`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>
 
@@ -104,18 +107,24 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/base/ndarray/daxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/daxpy
 
+[@stdlib/blas/base/ndarray/dcopy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/dcopy
+
 [@stdlib/blas/base/ndarray/ddot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/ddot
 
 [@stdlib/blas/base/ndarray/gasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gasum
 
 [@stdlib/blas/base/ndarray/gaxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gaxpy
 
+[@stdlib/blas/base/ndarray/gcopy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gcopy
+
 [@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/sasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sasum
 
 [@stdlib/blas/base/ndarray/saxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/saxpy
 
+[@stdlib/blas/base/ndarray/scopy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/scopy
+
 [@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/zaxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/zaxpy

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

@@ -158,6 +158,7 @@ var o = ns;
 -   <span class="signature">[`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using ordinary recursive summation.</span>
 -   <span class="signature">[`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</span>
+-   <span class="signature">[`gunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/gunitspace]</span><span class="delimiter">: </span><span class="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
 -   <span class="signature">[`gvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/gvander]</span><span class="delimiter">: </span><span class="description">generate a Vandermonde matrix.</span>
 -   <span class="signature">[`gwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/gwhere]</span><span class="delimiter">: </span><span class="description">take elements from one of two strided arrays depending on a condition.</span>
 -   <span class="signature">[`gzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/gzero-to]</span><span class="delimiter">: </span><span class="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
@@ -211,6 +212,7 @@ var o = ns;
 -   <span class="signature">[`wasm`][@stdlib/blas/ext/base/wasm]</span><span class="delimiter">: </span><span class="description">extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.</span>
 -   <span class="signature">[`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with a specified scalar constant.</span>
 -   <span class="signature">[`zindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
+-   <span class="signature">[`znancount( N, x, strideX )`][@stdlib/blas/ext/base/znancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a double-precision complex floating-point strided array.</span>
 -   <span class="signature">[`zoneTo( N, x, strideX )`][@stdlib/blas/ext/base/zone-to]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
 -   <span class="signature">[`zsum( N, x, strideX )`][@stdlib/blas/ext/base/zsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision complex floating-point strided array elements.</span>
 -   <span class="signature">[`zsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/zsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
@@ -495,6 +497,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/gsumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gsumpw
 
+[@stdlib/blas/ext/base/gunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gunitspace
+
 [@stdlib/blas/ext/base/gvander]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gvander
 
 [@stdlib/blas/ext/base/gwhere]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gwhere
@@ -601,6 +605,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/zindex-of-row]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zindex-of-row
 
+[@stdlib/blas/ext/base/znancount]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/znancount
+
 [@stdlib/blas/ext/base/zone-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zone-to
 
 [@stdlib/blas/ext/base/zsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zsum

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

@@ -44,6 +44,7 @@ var o = tools;
 <div class="namespace-toc">
 
 -   <span class="signature">[`chebyshevSeries( x, c )`][@stdlib/math/base/tools/chebyshev-series]</span><span class="delimiter">: </span><span class="description">evaluate a Chebyshev series using double-precision floating-point arithmetic.</span>
+-   <span class="signature">[`chebyshevSeriesf( x, c )`][@stdlib/math/base/tools/chebyshev-seriesf]</span><span class="delimiter">: </span><span class="description">evaluate a Chebyshev series using single-precision floating-point arithmetic.</span>
 -   <span class="signature">[`continuedFraction( generator[, options ] )`][@stdlib/math/base/tools/continued-fraction]</span><span class="delimiter">: </span><span class="description">continued fraction approximation.</span>
 -   <span class="signature">[`evalpoly( c, x )`][@stdlib/math/base/tools/evalpoly]</span><span class="delimiter">: </span><span class="description">evaluate a polynomial using double-precision floating-point arithmetic.</span>
 -   <span class="signature">[`evalpolyf( c, x )`][@stdlib/math/base/tools/evalpolyf]</span><span class="delimiter">: </span><span class="description">evaluate a polynomial using single-precision floating-point arithmetic.</span>
@@ -99,6 +100,8 @@ console.log( objectKeys( tools ) );
 
 [@stdlib/math/base/tools/chebyshev-series]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/tools/chebyshev-series
 
+[@stdlib/math/base/tools/chebyshev-seriesf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/tools/chebyshev-seriesf
+
 [@stdlib/math/base/tools/continued-fraction]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/tools/continued-fraction
 
 [@stdlib/math/base/tools/evalpoly]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/tools/evalpoly