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4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/blas/ext/base/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -142,10 +142,10 @@ var ns = extblas;
- <span class="signature">[`sfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sfill]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with a specified scalar constant.</span>
- <span class="signature">[`snansum( N, x, stride )`][@stdlib/blas/ext/base/snansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values.</span>
- <span class="signature">[`snansumkbn( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`snansumkbn2( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`snansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`snansumors( N, x, strideX )`][@stdlib/blas/ext/base/snansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
- <span class="signature">[`snansumpw( N, x, strideX )`][@stdlib/blas/ext/base/snansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
- <span class="signature">[`srev( N, x, stride )`][@stdlib/blas/ext/base/srev]</span><span class="delimiter">: </span><span class="description">reverse a single-precision floating-point strided array in-place.</span>
- <span class="signature">[`srev( N, x, strideX )`][@stdlib/blas/ext/base/srev]</span><span class="delimiter">: </span><span class="description">reverse a single-precision floating-point strided array in-place.</span>
- <span class="signature">[`ssort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
- <span class="signature">[`ssort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>
- <span class="signature">[`ssort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2sh]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.</span>
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6 changes: 6 additions & 0 deletions lib/node_modules/@stdlib/complex/float64/base/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,9 @@ The namespace contains the following functions:
<div class="namespace-toc">

- <span class="signature">[`add( z1, z2 )`][@stdlib/complex/float64/base/add]</span><span class="delimiter">: </span><span class="description">add two double-precision complex floating-point numbers.</span>
- <span class="signature">[`muladd( alpha, x, y )`][@stdlib/complex/float64/base/mul-add]</span><span class="delimiter">: </span><span class="description">perform a multiply-add operation involving three double-precision complex floating-point numbers.</span>
- <span class="signature">[`mul( z1, z2 )`][@stdlib/complex/float64/base/mul]</span><span class="delimiter">: </span><span class="description">multiply two double-precision complex floating-point numbers.</span>
- <span class="signature">[`scale( alpha, z )`][@stdlib/complex/float64/base/scale]</span><span class="delimiter">: </span><span class="description">scale a double-precision complex floating-point number by a real-valued double-precision floating-point scalar constant.</span>

</div>

Expand Down Expand Up @@ -111,8 +113,12 @@ console.log( objectKeys( ns ) );

[@stdlib/complex/float64/base/add]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/add

[@stdlib/complex/float64/base/mul-add]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/mul-add

[@stdlib/complex/float64/base/mul]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/mul

[@stdlib/complex/float64/base/scale]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/scale

[@stdlib/complex/float64/base/assert]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/assert

<!-- </toc-links> -->
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4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/math/base/napi/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -45,10 +45,10 @@ The namespace contains the following packages:

<div class="namespace-toc">

- <span class="signature">[`binary( env, info, fcn )`][@stdlib/math/base/napi/binary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking binary numerical functions.</span>
- <span class="signature">[`binary( fcn )`][@stdlib/math/base/napi/binary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking binary numerical functions.</span>
- <span class="signature">[`quaternary( env, info, fcn )`][@stdlib/math/base/napi/quaternary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking quaternary numerical functions.</span>
- <span class="signature">[`quinary( env, info, fcn )`][@stdlib/math/base/napi/quinary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking quinary numerical functions.</span>
- <span class="signature">[`ternary( env, info, fcn )`][@stdlib/math/base/napi/ternary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking ternary numerical functions.</span>
- <span class="signature">[`ternary( fcn )`][@stdlib/math/base/napi/ternary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking ternary numerical functions.</span>
- <span class="signature">[`unary( env, info, fcn )`][@stdlib/math/base/napi/unary]</span><span class="delimiter">: </span><span class="description">C APIs for registering a Node-API module exporting interfaces for invoking unary numerical functions.</span>

</div>
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -225,7 +225,7 @@ The namespace contains the following statistical functions:
- <span class="signature">[`snanmax( N, x, strideX )`][@stdlib/stats/base/snanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
- <span class="signature">[`snanmaxabs( N, x, strideX )`][@stdlib/stats/base/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
- <span class="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
- <span class="signature">[`snanmeanors( N, x, stride )`][@stdlib/stats/base/snanmeanors]</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.</span>
- <span class="signature">[`snanmeanors( N, x, strideX )`][@stdlib/stats/base/snanmeanors]</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.</span>
- <span class="signature">[`snanmeanpn( N, x, stride )`][@stdlib/stats/base/snanmeanpn]</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 a two-pass error correction algorithm.</span>
- <span class="signature">[`snanmeanwd( N, x, stride )`][@stdlib/stats/base/snanmeanwd]</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 Welford's algorithm.</span>
- <span class="signature">[`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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