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Author: stdlib-bot

CHANGELOG.md

@@ -4,12 +4,13 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2026-07-08)
+## Unreleased (2026-07-09)
 
 <section class="features">
 
 ### Features
 
+-   [`6b6be64`](https://github.com/stdlib-js/stdlib/commit/6b6be6461e4a28602d9b74246203306480689d7c) - update `blas/ext/base/ndarray` TypeScript declarations [(#13382)](https://github.com/stdlib-js/stdlib/pull/13382)
 -   [`bb93e56`](https://github.com/stdlib-js/stdlib/commit/bb93e568471ae6a13b42c4dd2b519b88dc7d0028) - add `cxmy` and `zxmy` to namespace
 -   [`41ba398`](https://github.com/stdlib-js/stdlib/commit/41ba39852bc5480c16acd778911ab1e921a1df32) - add `blas/ext/base/ndarray/cxmy` [(#13300)](https://github.com/stdlib-js/stdlib/pull/13300)
 -   [`f1c7e3f`](https://github.com/stdlib-js/stdlib/commit/f1c7e3f164551ff6275f36052ab82bacafdd69ca) - add `blas/ext/base/ndarray/zxmy` [(#13301)](https://github.com/stdlib-js/stdlib/pull/13301)
@@ -170,6 +171,8 @@
 
 <details>
 
+-   [`6b6be64`](https://github.com/stdlib-js/stdlib/commit/6b6be6461e4a28602d9b74246203306480689d7c) - **feat:** update `blas/ext/base/ndarray` TypeScript declarations [(#13382)](https://github.com/stdlib-js/stdlib/pull/13382) _(by stdlib-bot)_
+-   [`262f2dc`](https://github.com/stdlib-js/stdlib/commit/262f2dc2c6500adab7f8774631496aed1436d0d7) - **docs:** update namespace table of contents [(#13384)](https://github.com/stdlib-js/stdlib/pull/13384) _(by stdlib-bot)_
 -   [`bb93e56`](https://github.com/stdlib-js/stdlib/commit/bb93e568471ae6a13b42c4dd2b519b88dc7d0028) - **feat:** add `cxmy` and `zxmy` to namespace _(by Athan Reines)_
 -   [`41ba398`](https://github.com/stdlib-js/stdlib/commit/41ba39852bc5480c16acd778911ab1e921a1df32) - **feat:** add `blas/ext/base/ndarray/cxmy` [(#13300)](https://github.com/stdlib-js/stdlib/pull/13300) _(by Karan Anand)_
 -   [`f1c7e3f`](https://github.com/stdlib-js/stdlib/commit/f1c7e3f164551ff6275f36052ab82bacafdd69ca) - **feat:** add `blas/ext/base/ndarray/zxmy` [(#13301)](https://github.com/stdlib-js/stdlib/pull/13301) _(by Karan Anand)_

README.md

@@ -85,6 +85,7 @@ The namespace exposes the following APIs:
 -   <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>
 -   <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>
 -   <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>
+-   <span class="signature">[`cxmy( arrays )`][@stdlib/blas/ext/base/ndarray/cxmy]</span><span class="delimiter">: </span><span class="description">multiply elements of a one-dimensional single-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional single-precision complex floating-point ndarray and assign the results to the second ndarray.</span>
 -   <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>
 -   <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>
 -   <span class="signature">[`cxsy( arrays )`][@stdlib/blas/ext/base/ndarray/cxsy]</span><span class="delimiter">: </span><span class="description">subtract the elements of an output one-dimensional single-precision complex floating-point ndarray from the corresponding elements in an input one-dimensional single-precision complex floating-point ndarray and assign the results to the output ndarray.</span>
@@ -196,6 +197,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`zsum( arrays )`][@stdlib/blas/ext/base/ndarray/zsum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.</span>
 -   <span class="signature">[`zsumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/zsumkbn]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`zunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/zunitspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
+-   <span class="signature">[`zxmy( arrays )`][@stdlib/blas/ext/base/ndarray/zxmy]</span><span class="delimiter">: </span><span class="description">multiply elements of a one-dimensional double-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assign the results to the second ndarray.</span>
 -   <span class="signature">[`zxpy( arrays )`][@stdlib/blas/ext/base/ndarray/zxpy]</span><span class="delimiter">: </span><span class="description">add elements of a one-dimensional double-precision complex floating-point ndarray to the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assign the results to the second ndarray.</span>
 -   <span class="signature">[`zxsa( arrays )`][@stdlib/blas/ext/base/ndarray/zxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a one-dimensional double-precision complex floating-point ndarray.</span>
 -   <span class="signature">[`zxsy( arrays )`][@stdlib/blas/ext/base/ndarray/zxsy]</span><span class="delimiter">: </span><span class="description">subtract the elements of an output one-dimensional double-precision complex floating-point ndarray from the corresponding elements in an input one-dimensional double-precision complex floating-point ndarray and assign the results to the output ndarray.</span>
@@ -324,6 +326,8 @@ Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].
 
 [@stdlib/blas/ext/base/ndarray/cunitspace]: https://github.com/stdlib-js/blas-ext-base-ndarray-cunitspace
 
+[@stdlib/blas/ext/base/ndarray/cxmy]: https://github.com/stdlib-js/blas-ext-base-ndarray-cxmy
+
 [@stdlib/blas/ext/base/ndarray/cxpy]: https://github.com/stdlib-js/blas-ext-base-ndarray-cxpy
 
 [@stdlib/blas/ext/base/ndarray/cxsa]: https://github.com/stdlib-js/blas-ext-base-ndarray-cxsa
@@ -546,6 +550,8 @@ Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].
 
 [@stdlib/blas/ext/base/ndarray/zunitspace]: https://github.com/stdlib-js/blas-ext-base-ndarray-zunitspace
 
+[@stdlib/blas/ext/base/ndarray/zxmy]: https://github.com/stdlib-js/blas-ext-base-ndarray-zxmy
+
 [@stdlib/blas/ext/base/ndarray/zxpy]: https://github.com/stdlib-js/blas-ext-base-ndarray-zxpy
 
 [@stdlib/blas/ext/base/ndarray/zxsa]: https://github.com/stdlib-js/blas-ext-base-ndarray-zxsa

docs/types/index.d.ts

@@ -27,6 +27,7 @@ import coneTo = require( '@stdlib/blas-ext-base-ndarray-cone-to' );
 import csum = require( '@stdlib/blas-ext-base-ndarray-csum' );
 import csumkbn = require( '@stdlib/blas-ext-base-ndarray-csumkbn' );
 import cunitspace = require( '@stdlib/blas-ext-base-ndarray-cunitspace' );
+import cxmy = require( '@stdlib/blas-ext-base-ndarray-cxmy' );
 import cxpy = require( '@stdlib/blas-ext-base-ndarray-cxpy' );
 import cxsa = require( '@stdlib/blas-ext-base-ndarray-cxsa' );
 import cxsy = require( '@stdlib/blas-ext-base-ndarray-cxsy' );
@@ -138,6 +139,7 @@ import zoneTo = require( '@stdlib/blas-ext-base-ndarray-zone-to' );
 import zsum = require( '@stdlib/blas-ext-base-ndarray-zsum' );
 import zsumkbn = require( '@stdlib/blas-ext-base-ndarray-zsumkbn' );
 import zunitspace = require( '@stdlib/blas-ext-base-ndarray-zunitspace' );
+import zxmy = require( '@stdlib/blas-ext-base-ndarray-zxmy' );
 import zxpy = require( '@stdlib/blas-ext-base-ndarray-zxpy' );
 import zxsa = require( '@stdlib/blas-ext-base-ndarray-zxsa' );
 import zxsy = require( '@stdlib/blas-ext-base-ndarray-zxsy' );
@@ -346,6 +348,30 @@ interface Namespace {
 	*/
 	cunitspace: typeof cunitspace;
 
+	/**
+	* Multiplies elements of a one-dimensional single-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional single-precision complex floating-point ndarray and assigns the results to the second ndarray.
+	*
+	* ## Notes
+	*
+	* -   The function expects the following ndarrays:
+	*
+	*     -   a one-dimensional input ndarray.
+	*     -   a one-dimensional output ndarray.
+	*
+	* @param arrays - array-like object containing ndarrays
+	* @returns output ndarray
+	*
+	* @example
+	* var Complex64Vector = require( '@stdlib/ndarray-vector-complex64' );
+	*
+	* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, -1.0, 0.0, 1.0 ] );
+	* var y = new Complex64Vector( [ 2.0, 1.0, -1.0, 3.0, 4.0, 0.0 ] );
+	*
+	* var out = ns.cxmy( [ x, y ] );
+	* // returns <ndarray>[ <Complex64>[ 0.0, 5.0 ], <Complex64>[ 0.0, 10.0 ], <Complex64>[ 0.0, 4.0 ] ]
+	*/
+	cxmy: typeof cxmy;
+
 	/**
 	* Adds 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 assigns the results to the second ndarray.
 	*
@@ -3376,6 +3402,30 @@ interface Namespace {
 	*/
 	zunitspace: typeof zunitspace;
 
+	/**
+	* Multiplies elements of a one-dimensional double-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assigns the results to the second ndarray.
+	*
+	* ## Notes
+	*
+	* -   The function expects the following ndarrays:
+	*
+	*     -   a one-dimensional input ndarray.
+	*     -   a one-dimensional output ndarray.
+	*
+	* @param arrays - array-like object containing ndarrays
+	* @returns output ndarray
+	*
+	* @example
+	* var Complex128Vector = require( '@stdlib/ndarray-vector-complex128' );
+	*
+	* var x = new Complex128Vector( [ 1.0, 1.0, 2.0, -1.0, 3.0, 0.0 ] );
+	* var y = new Complex128Vector( [ 2.0, 1.0, 1.0, 2.0, 2.0, -2.0 ] );
+	*
+	* var out = ns.zxmy( [ x, y ] );
+	* // returns <ndarray>[ <Complex128>[ 1.0, 3.0 ], <Complex128>[ 4.0, 3.0 ], <Complex128>[ 6.0, -6.0 ] ]
+	*/
+	zxmy: typeof zxmy;
+
 	/**
 	* Adds elements of a one-dimensional double-precision complex floating-point ndarray to the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assigns the results to the second ndarray.
 	*