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CHANGELOG.md

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### Features
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- [`a1693f8`](https://github.com/stdlib-js/stdlib/commit/a1693f8fea97d0808f8325e0b780126c45ad3e68) - add `zxpy` to namespace
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- [`bf4aa3e`](https://github.com/stdlib-js/stdlib/commit/bf4aa3e2c46f0218ec550fb1c909ef20eadb6714) - update `blas/ext/base/ndarray` TypeScript declarations [(#13039)](https://github.com/stdlib-js/stdlib/pull/13039)
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- [`ef06e88`](https://github.com/stdlib-js/stdlib/commit/ef06e88569a1ec15a9fcc15407fc44bbe3916296) - add `blas/ext/base/ndarray/zxpy` [(#13037)](https://github.com/stdlib-js/stdlib/pull/13037)
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- [`ec6375f`](https://github.com/stdlib-js/stdlib/commit/ec6375f6499b2f10522731a249cd7b0a7466e308) - add `cxpy` and `sxpy` to namespace
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<details>
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- [`6a301dd`](https://github.com/stdlib-js/stdlib/commit/6a301ddefd0cf3bd4c05b26ff69aaaebaa356b83) - **docs:** update namespace table of contents [(#13043)](https://github.com/stdlib-js/stdlib/pull/13043) _(by stdlib-bot)_
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- [`a1693f8`](https://github.com/stdlib-js/stdlib/commit/a1693f8fea97d0808f8325e0b780126c45ad3e68) - **feat:** add `zxpy` to namespace _(by Athan Reines)_
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- [`bf4aa3e`](https://github.com/stdlib-js/stdlib/commit/bf4aa3e2c46f0218ec550fb1c909ef20eadb6714) - **feat:** update `blas/ext/base/ndarray` TypeScript declarations [(#13039)](https://github.com/stdlib-js/stdlib/pull/13039) _(by stdlib-bot)_
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- [`ef06e88`](https://github.com/stdlib-js/stdlib/commit/ef06e88569a1ec15a9fcc15407fc44bbe3916296) - **feat:** add `blas/ext/base/ndarray/zxpy` [(#13037)](https://github.com/stdlib-js/stdlib/pull/13037) _(by Karan Anand)_
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- [`ab50f59`](https://github.com/stdlib-js/stdlib/commit/ab50f59f75c9074346747fe1d71fcf55bda1db2f) - **docs:** update Markdown stdlib package URLs [(#13038)](https://github.com/stdlib-js/stdlib/pull/13038) _(by stdlib-bot)_

README.md

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@@ -85,6 +85,7 @@ The namespace exposes the following APIs:
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- <span class="signature">[`csum( arrays )`][@stdlib/blas/ext/base/ndarray/csum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray.</span>
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- <span class="signature">[`csumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/csumkbn]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
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- <span class="signature">[`cunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/cunitspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional single-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
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- <span class="signature">[`cxpy( arrays )`][@stdlib/blas/ext/base/ndarray/cxpy]</span><span class="delimiter">: </span><span class="description">add elements of a one-dimensional single-precision complex floating-point ndarray to the corresponding elements of a second one-dimensional single-precision complex floating-point ndarray and assign the results to the second ndarray.</span>
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- <span class="signature">[`cxsa( arrays )`][@stdlib/blas/ext/base/ndarray/cxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a one-dimensional single-precision complex floating-point ndarray.</span>
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- <span class="signature">[`czeroTo( arrays )`][@stdlib/blas/ext/base/ndarray/czero-to]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional single-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from zero.</span>
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- <span class="signature">[`daxpb( arrays )`][@stdlib/blas/ext/base/ndarray/daxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and add a scalar constant to each result.</span>
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- <span class="signature">[`dcusumors( arrays )`][@stdlib/blas/ext/base/ndarray/dcusumors]</span><span class="delimiter">: </span><span class="description">compute the cumulative sum of a one-dimensional double-precision floating-point ndarray using ordinary recursive summation.</span>
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- <span class="signature">[`dcusumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dcusumpw]</span><span class="delimiter">: </span><span class="description">compute the cumulative sum of a one-dimensional double-precision floating-point ndarray using pairwise summation.</span>
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- <span class="signature">[`ddiff( arrays )`][@stdlib/blas/ext/base/ndarray/ddiff]</span><span class="delimiter">: </span><span class="description">calculate the k-th discrete forward difference of a one-dimensional double-precision floating-point ndarray.</span>
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- <span class="signature">[`dindexOfFalsy( arrays )`][@stdlib/blas/ext/base/ndarray/dindex-of-falsy]</span><span class="delimiter">: </span><span class="description">return the index of the first falsy element in a one-dimensional double-precision floating-point ndarray.</span>
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- <span class="signature">[`dindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/dindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a search element in a one-dimensional double-precision floating-point ndarray.</span>
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- <span class="signature">[`dlastIndexOf( arrays )`][@stdlib/blas/ext/base/ndarray/dlast-index-of]</span><span class="delimiter">: </span><span class="description">return the last index of a search element in a one-dimensional double-precision floating-point ndarray.</span>
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- <span class="signature">[`dlinspace( arrays )`][@stdlib/blas/ext/base/ndarray/dlinspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional double-precision floating-point ndarray with linearly spaced values over a specified interval.</span>
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- <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>
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- <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>
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- <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>
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- <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>
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- <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>
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- <span class="signature">[`dzeroTo( arrays )`][@stdlib/blas/ext/base/ndarray/dzero-to]</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 zero.</span>
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- <span class="signature">[`gaxpb( arrays )`][@stdlib/blas/ext/base/ndarray/gaxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a one-dimensional ndarray by a scalar constant and add a scalar constant to each result.</span>
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- <span class="signature">[`gcusumpw( arrays )`][@stdlib/blas/ext/base/ndarray/gcusumpw]</span><span class="delimiter">: </span><span class="description">compute the cumulative sum of a one-dimensional ndarray using pairwise summation.</span>
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- <span class="signature">[`gfindIndex( arrays, clbk[, thisArg] )`][@stdlib/blas/ext/base/ndarray/gfind-index]</span><span class="delimiter">: </span><span class="description">return the index of the first element in a one-dimensional ndarray which passes a test implemented by a predicate function.</span>
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- <span class="signature">[`gfindLastIndex( arrays, clbk[, thisArg] )`][@stdlib/blas/ext/base/ndarray/gfind-last-index]</span><span class="delimiter">: </span><span class="description">return the index of the last element in a one-dimensional ndarray which passes a test implemented by a predicate function.</span>
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- <span class="signature">[`gindexOfFalsy( arrays )`][@stdlib/blas/ext/base/ndarray/gindex-of-falsy]</span><span class="delimiter">: </span><span class="description">return the index of the first falsy element in a one-dimensional ndarray.</span>
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- <span class="signature">[`gindexOfTruthy( arrays )`][@stdlib/blas/ext/base/ndarray/gindex-of-truthy]</span><span class="delimiter">: </span><span class="description">return the index of the first truthy element in a one-dimensional ndarray.</span>
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- <span class="signature">[`gindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/gindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a search element in a one-dimensional ndarray.</span>
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- <span class="signature">[`gjoinBetween( arrays )`][@stdlib/blas/ext/base/ndarray/gjoin-between]</span><span class="delimiter">: </span><span class="description">return a string by joining one-dimensional ndarray elements using a specified separator for each pair of consecutive elements.</span>
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- <span class="signature">[`gjoin( arrays )`][@stdlib/blas/ext/base/ndarray/gjoin]</span><span class="delimiter">: </span><span class="description">return a string created by joining one-dimensional ndarray elements using a specified separator.</span>
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- <span class="signature">[`gsumors( arrays )`][@stdlib/blas/ext/base/ndarray/gsumors]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional ndarray using ordinary recursive summation.</span>
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- <span class="signature">[`gsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/gsumpw]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional ndarray using pairwise summation.</span>
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- <span class="signature">[`gunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/gunitspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
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- <span class="signature">[`gxpy( arrays )`][@stdlib/blas/ext/base/ndarray/gxpy]</span><span class="delimiter">: </span><span class="description">add elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assign the results to the second ndarray.</span>
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- <span class="signature">[`gxsa( arrays )`][@stdlib/blas/ext/base/ndarray/gxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a one-dimensional ndarray.</span>
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- <span class="signature">[`gzeroTo( arrays )`][@stdlib/blas/ext/base/ndarray/gzero-to]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional ndarray with linearly spaced numeric elements which increment by `1` starting from zero.</span>
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- <span class="signature">[`saxpb( arrays )`][@stdlib/blas/ext/base/ndarray/saxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a one-dimensional single-precision floating-point ndarray by a scalar constant and add a scalar constant to each result.</span>
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- <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>
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- <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>
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- <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>
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- <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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- <span class="signature">[`sxsa( arrays )`][@stdlib/blas/ext/base/ndarray/sxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a one-dimensional single-precision floating-point ndarray.</span>
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- <span class="signature">[`szeroTo( arrays )`][@stdlib/blas/ext/base/ndarray/szero-to]</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 zero.</span>
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- <span class="signature">[`zaxpb( arrays )`][@stdlib/blas/ext/base/ndarray/zaxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a one-dimensional double-precision complex floating-point ndarray by a scalar constant and add a scalar constant to each result.</span>
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[@stdlib/blas/ext/base/ndarray/cunitspace]: https://github.com/stdlib-js/blas-ext-base-ndarray-cunitspace
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[@stdlib/blas/ext/base/ndarray/cxpy]: https://github.com/stdlib-js/blas-ext-base-ndarray-cxpy
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[@stdlib/blas/ext/base/ndarray/cxsa]: https://github.com/stdlib-js/blas-ext-base-ndarray-cxsa
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[@stdlib/blas/ext/base/ndarray/czero-to]: https://github.com/stdlib-js/blas-ext-base-ndarray-czero-to
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[@stdlib/blas/ext/base/ndarray/ddiff]: https://github.com/stdlib-js/blas-ext-base-ndarray-ddiff
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[@stdlib/blas/ext/base/ndarray/dindex-of-falsy]: https://github.com/stdlib-js/blas-ext-base-ndarray-dindex-of-falsy
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[@stdlib/blas/ext/base/ndarray/dindex-of]: https://github.com/stdlib-js/blas-ext-base-ndarray-dindex-of
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[@stdlib/blas/ext/base/ndarray/dlast-index-of]: https://github.com/stdlib-js/blas-ext-base-ndarray-dlast-index-of
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[@stdlib/blas/ext/base/ndarray/dunitspace]: https://github.com/stdlib-js/blas-ext-base-ndarray-dunitspace
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[@stdlib/blas/ext/base/ndarray/dxpy]: https://github.com/stdlib-js/blas-ext-base-ndarray-dxpy
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[@stdlib/blas/ext/base/ndarray/dxsa]: https://github.com/stdlib-js/blas-ext-base-ndarray-dxsa
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[@stdlib/blas/ext/base/ndarray/dzero-to]: https://github.com/stdlib-js/blas-ext-base-ndarray-dzero-to
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[@stdlib/blas/ext/base/ndarray/gfind-last-index]: https://github.com/stdlib-js/blas-ext-base-ndarray-gfind-last-index
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[@stdlib/blas/ext/base/ndarray/gindex-of-falsy]: https://github.com/stdlib-js/blas-ext-base-ndarray-gindex-of-falsy
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[@stdlib/blas/ext/base/ndarray/gindex-of-truthy]: https://github.com/stdlib-js/blas-ext-base-ndarray-gindex-of-truthy
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[@stdlib/blas/ext/base/ndarray/gunitspace]: https://github.com/stdlib-js/blas-ext-base-ndarray-gunitspace
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[@stdlib/blas/ext/base/ndarray/gxpy]: https://github.com/stdlib-js/blas-ext-base-ndarray-gxpy
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[@stdlib/blas/ext/base/ndarray/gxsa]: https://github.com/stdlib-js/blas-ext-base-ndarray-gxsa
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[@stdlib/blas/ext/base/ndarray/gzero-to]: https://github.com/stdlib-js/blas-ext-base-ndarray-gzero-to
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[@stdlib/blas/ext/base/ndarray/sxpy]: https://github.com/stdlib-js/blas-ext-base-ndarray-sxpy
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[@stdlib/blas/ext/base/ndarray/sxsa]: https://github.com/stdlib-js/blas-ext-base-ndarray-sxsa
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[@stdlib/blas/ext/base/ndarray/szero-to]: https://github.com/stdlib-js/blas-ext-base-ndarray-szero-to

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