diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/docs/types/index.d.ts
index 43a4fba0d6b0..dc8aa4b5847f 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/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.
 	*