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Copy file name to clipboardExpand all lines: CHANGELOG.md
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<sectionclass="release"id="unreleased">
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## Unreleased (2026-07-04)
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## Unreleased (2026-07-05)
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<sectionclass="features">
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<details>
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-[`26f6338`](https://github.com/stdlib-js/stdlib/commit/26f63380e6d7f701abbdc1761a3a86a0595dd958) - **docs:** update namespace table of contents [(#13277)](https://github.com/stdlib-js/stdlib/pull/13277)_(by stdlib-bot, Philipp Burckhardt)_
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-[`06a4c2a`](https://github.com/stdlib-js/stdlib/commit/06a4c2a688d19743d078d6956af415b635579199) - **docs:** update descriptions [(#13258)](https://github.com/stdlib-js/stdlib/pull/13258)_(by Philipp Burckhardt, Athan Reines)_
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-[`92b5eb4`](https://github.com/stdlib-js/stdlib/commit/92b5eb479a9ba6d3fe4f722d2f1b47e61a03122c) - **fix:** use correct argument during error message interpolation and update descriptions [(#13105)](https://github.com/stdlib-js/stdlib/pull/13105)_(by Philipp Burckhardt)_
Copy file name to clipboardExpand all lines: README.md
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- <spanclass="signature">[`dsum( arrays )`][@stdlib/blas/ext/base/ndarray/dsum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray.</span>
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- <spanclass="signature">[`dsumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/dsumkbn]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`dsumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/dsumkbn2]</span><spanclass="delimiter">: </span><spanclass="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>
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- <spanclass="signature">[`dsumors( arrays )`][@stdlib/blas/ext/base/ndarray/dsumors]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional double-precision floating-point ndarray using ordinary recursive summation.</span>
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- <spanclass="signature">[`dsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dsumpw]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional double-precision floating-point ndarray using pairwise summation.</span>
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- <spanclass="signature">[`dsumors( arrays )`][@stdlib/blas/ext/base/ndarray/dsumors]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using ordinary recursive summation.</span>
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- <spanclass="signature">[`dsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dsumpw]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation.</span>
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- <spanclass="signature">[`dunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/dunitspace]</span><spanclass="delimiter">: </span><spanclass="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>
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- <spanclass="signature">[`dxpy( arrays )`][@stdlib/blas/ext/base/ndarray/dxpy]</span><spanclass="delimiter">: </span><spanclass="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>
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- <spanclass="signature">[`dxsa( arrays )`][@stdlib/blas/ext/base/ndarray/dxsa]</span><spanclass="delimiter">: </span><spanclass="description">subtract a scalar constant from each element in a one-dimensional double-precision floating-point ndarray.</span>
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- <spanclass="signature">[`ssum( arrays )`][@stdlib/blas/ext/base/ndarray/ssum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray.</span>
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- <spanclass="signature">[`ssumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/ssumkbn]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`ssumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/ssumkbn2]</span><spanclass="delimiter">: </span><spanclass="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>
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- <spanclass="signature">[`ssumors( arrays )`][@stdlib/blas/ext/base/ndarray/ssumors]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.</span>
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- <spanclass="signature">[`ssumors( arrays )`][@stdlib/blas/ext/base/ndarray/ssumors]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.</span>
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- <spanclass="signature">[`ssumpw( arrays )`][@stdlib/blas/ext/base/ndarray/ssumpw]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using pairwise summation.</span>
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- <spanclass="signature">[`sunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/sunitspace]</span><spanclass="delimiter">: </span><spanclass="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>
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- <spanclass="signature">[`sxpy( arrays )`][@stdlib/blas/ext/base/ndarray/sxpy]</span><spanclass="delimiter">: </span><spanclass="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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