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docs: update namespace table of contents #13277

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6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md
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Expand Up @@ -82,8 +82,8 @@ The namespace exposes the following APIs:
- <span class="signature">[`dsum( arrays )`][@stdlib/blas/ext/base/ndarray/dsum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray.</span>
- <span class="signature">[`dsumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/dsumkbn]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`dsumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/dsumkbn2]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`dsumors( arrays )`][@stdlib/blas/ext/base/ndarray/dsumors]</span><span class="delimiter">: </span><span class="description">compute the sum of a one-dimensional double-precision floating-point ndarray using ordinary recursive summation.</span>
- <span class="signature">[`dsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dsumpw]</span><span class="delimiter">: </span><span class="description">compute the sum of a one-dimensional double-precision floating-point ndarray using pairwise summation.</span>
- <span class="signature">[`dsumors( arrays )`][@stdlib/blas/ext/base/ndarray/dsumors]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using ordinary recursive summation.</span>
- <span class="signature">[`dsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dsumpw]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation.</span>
- <span class="signature">[`dunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/dunitspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
- <span class="signature">[`dxpy( arrays )`][@stdlib/blas/ext/base/ndarray/dxpy]</span><span class="delimiter">: </span><span class="description">add elements of a one-dimensional double-precision floating-point ndarray to the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to the second ndarray.</span>
- <span class="signature">[`dxsa( arrays )`][@stdlib/blas/ext/base/ndarray/dxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a one-dimensional double-precision floating-point ndarray.</span>
Expand Down Expand Up @@ -146,7 +146,7 @@ The namespace exposes the following APIs:
- <span class="signature">[`ssum( arrays )`][@stdlib/blas/ext/base/ndarray/ssum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray.</span>
- <span class="signature">[`ssumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/ssumkbn]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`ssumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/ssumkbn2]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`ssumors( arrays )`][@stdlib/blas/ext/base/ndarray/ssumors]</span><span class="delimiter">: </span><span class="description">compute the sum of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.</span>
- <span class="signature">[`ssumors( arrays )`][@stdlib/blas/ext/base/ndarray/ssumors]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.</span>
- <span class="signature">[`ssumpw( arrays )`][@stdlib/blas/ext/base/ndarray/ssumpw]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using pairwise summation.</span>
- <span class="signature">[`sunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/sunitspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
- <span class="signature">[`sxpy( arrays )`][@stdlib/blas/ext/base/ndarray/sxpy]</span><span class="delimiter">: </span><span class="description">add elements of a one-dimensional single-precision floating-point ndarray to the corresponding elements of a second one-dimensional single-precision floating-point ndarray and assign the results to the second ndarray.</span>
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6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/planck/README.md
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Expand Up @@ -64,12 +64,12 @@ The namespace contains the following functions for calculating distribution prop

- <span class="signature">[`entropy( lambda )`][@stdlib/stats/base/dists/planck/entropy]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution differential entropy.</span>
- <span class="signature">[`kurtosis( lambda )`][@stdlib/stats/base/dists/planck/kurtosis]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution excess kurtosis.</span>
- <span class="signature">[`mean( lambda )`][@stdlib/stats/base/dists/planck/mean]</span><span class="delimiter">: </span><span class="description">planck distribution expected value.</span>
- <span class="signature">[`mean( lambda )`][@stdlib/stats/base/dists/planck/mean]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution expected value.</span>
- <span class="signature">[`median( lambda )`][@stdlib/stats/base/dists/planck/median]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution median.</span>
- <span class="signature">[`mode( lambda )`][@stdlib/stats/base/dists/planck/mode]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution mode.</span>
- <span class="signature">[`skewness( lambda )`][@stdlib/stats/base/dists/planck/skewness]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution skewness.</span>
- <span class="signature">[`stdev( lambda )`][@stdlib/stats/base/dists/planck/stdev]</span><span class="delimiter">: </span><span class="description">planck distribution standard deviation.</span>
- <span class="signature">[`variance( lambda )`][@stdlib/stats/base/dists/planck/variance]</span><span class="delimiter">: </span><span class="description">planck distribution variance.</span>
- <span class="signature">[`stdev( lambda )`][@stdlib/stats/base/dists/planck/stdev]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution standard deviation.</span>
- <span class="signature">[`variance( lambda )`][@stdlib/stats/base/dists/planck/variance]</span><span class="delimiter">: </span><span class="description">planck (discrete exponential) distribution variance.</span>

</div>

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