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docs: update namespace table of contents
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PR-URL: #4879
Reviewed-by: Athan Reines <kgryte@gmail.com>
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stdlib-bot authored Jan 24, 2025
1 parent 1e28982 commit 3dbeed6
Showing 1 changed file with 5 additions and 5 deletions.
10 changes: 5 additions & 5 deletions lib/node_modules/@stdlib/blas/ext/base/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -134,14 +134,14 @@ var ns = extblas;
- <span class="signature">[`scusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumors]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
- <span class="signature">[`scusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumpw]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.</span>
- <span class="signature">[`sdsapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/sdsapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using extended accumulation.</span>
- <span class="signature">[`sdsapxsumpw( N, alpha, x, stride )`][@stdlib/blas/ext/base/sdsapxsumpw]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using pairwise summation with extended accumulation.</span>
- <span class="signature">[`sdsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsumpw]</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 with extended accumulation.</span>
- <span class="signature">[`sdsnansum( N, x, stride )`][@stdlib/blas/ext/base/sdsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.</span>
- <span class="signature">[`sdsnansumpw( N, x, stride )`][@stdlib/blas/ext/base/sdsnansumpw]</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 with extended accumulation.</span>
- <span class="signature">[`sdsnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansumpw]</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 with extended accumulation.</span>
- <span class="signature">[`sdssum( N, x, stride )`][@stdlib/blas/ext/base/sdssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using extended accumulation.</span>
- <span class="signature">[`sdssumpw( N, x, stride )`][@stdlib/blas/ext/base/sdssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.</span>
- <span class="signature">[`sdssumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.</span>
- <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">[`snansumkbn( N, x, strideX )`][@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, 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>
Expand All @@ -153,7 +153,7 @@ var ns = extblas;
- <span class="signature">[`ssortins( N, order, x, stride )`][@stdlib/blas/ext/base/ssortins]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using insertion sort.</span>
- <span class="signature">[`ssortsh( N, order, x, stride )`][@stdlib/blas/ext/base/ssortsh]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using Shellsort.</span>
- <span class="signature">[`ssum( N, x, stride )`][@stdlib/blas/ext/base/ssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements.</span>
- <span class="signature">[`ssumkbn( N, x, stride )`][@stdlib/blas/ext/base/ssumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`ssumkbn( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`ssumkbn2( N, x, stride )`][@stdlib/blas/ext/base/ssumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`ssumors( N, x, strideX )`][@stdlib/blas/ext/base/ssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
- <span class="signature">[`ssumpw( N, x, strideX )`][@stdlib/blas/ext/base/ssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation.</span>
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Coverage Report

Package Statements Branches Functions Lines
blas/ext/base $\color{green}1068/1068$
$\color{green}+100.00\%$
$\color{green}1/1$
$\color{green}+100.00\%$
$\color{green}0/0$
$\color{green}+100.00\%$
$\color{green}1068/1068$
$\color{green}+100.00\%$

The above coverage report was generated for the changes in this push.

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