Skip to content

docs: update namespace table of contents #3261

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Nov 25, 2024
Merged

docs: update namespace table of contents #3261

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/blas/ext/base/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ var ns = extblas;

<div class="namespace-toc">

- <span class="signature">[`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]</span><span class="delimiter">: </span><span class="description">add a constant to each element in a double-precision floating-point strided array.</span>
- <span class="signature">[`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a double-precision floating-point strided array.</span>
- <span class="signature">[`dapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum.</span>
- <span class="signature">[`dapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`dapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
Expand All @@ -67,13 +67,13 @@ var ns = extblas;
- <span class="signature">[`dnansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`dnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`dnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
- <span class="signature">[`dnansumpw( N, x, stride )`][@stdlib/blas/ext/base/dnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
- <span class="signature">[`dnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/dnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
- <span class="signature">[`drev( N, x, strideX )`][@stdlib/blas/ext/base/drev]</span><span class="delimiter">: </span><span class="description">reverse a double-precision floating-point strided array in-place.</span>
- <span class="signature">[`dsapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/dsapxsum]</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 and returning an extended precision result.</span>
- <span class="signature">[`dsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsum]</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 extended accumulation and returning an extended precision result.</span>
- <span class="signature">[`dsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsumpw]</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 and returning an extended precision result.</span>
- <span class="signature">[`dsnannsumors( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dsnannsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
- <span class="signature">[`dsnansum( N, x, stride )`][@stdlib/blas/ext/base/dsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.</span>
- <span class="signature">[`dsnansumors( N, x, stride )`][@stdlib/blas/ext/base/dsnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
- <span class="signature">[`dsnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dsnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
- <span class="signature">[`dsnansumpw( N, x, stride )`][@stdlib/blas/ext/base/dsnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using pairwise summation with extended accumulation, and returning an extended precision result.</span>
- <span class="signature">[`dsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
- <span class="signature">[`dsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>
Expand Down
Loading