diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/README.md
new file mode 100644
index 000000000000..0c3e676bce31
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/README.md
@@ -0,0 +1,124 @@
+
+
+# gwxsa
+
+> Subtract a scalar constant from each element in an input one-dimensional ndarray and assign the results to elements in a one-dimensional output ndarray.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var gwxsa = require( '@stdlib/blas/ext/base/ndarray/gwxsa' );
+```
+
+#### gwxsa( arrays )
+
+Subtracts a scalar constant from each element in an input one-dimensional ndarray and assigns the results to elements in a one-dimensional output ndarray.
+
+```javascript
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ], 'generic' );
+var w = vector( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 'generic' );
+
+var alpha = scalar2ndarray( 5.0, {
+ 'dtype': 'generic'
+});
+
+gwxsa( [ x, w, alpha ] );
+// w => [ -7.0, -4.0, -2.0, -10.0, -1.0, -5.0, -6.0, -8.0 ]
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a one-dimensional output ndarray.
+ - a zero-dimensional ndarray containing the scalar constant to subtract.
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var gwxsa = require( '@stdlib/blas/ext/base/ndarray/gwxsa' );
+
+var opts = {
+ 'dtype': 'generic'
+};
+
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var w = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+gwxsa( [ x, w, alpha ] );
+console.log( ndarray2array( w ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/benchmark/benchmark.js
new file mode 100644
index 000000000000..8a37d717fda9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/benchmark/benchmark.js
@@ -0,0 +1,110 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gwxsa = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var alpha;
+ var x;
+ var w;
+
+ x = uniform( [ len ], -100.0, 100.0, options );
+ w = zeros( [ len ], options );
+ alpha = scalar2ndarray( 5.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var out;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = gwxsa( [ x, w, alpha ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/repl.txt
new file mode 100644
index 000000000000..a39129c0ac66
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/repl.txt
@@ -0,0 +1,34 @@
+
+{{alias}}( arrays )
+ Subtracts a scalar constant from each element in an input one-dimensional
+ ndarray and assigns the results to elements in a one-dimensional output
+ ndarray.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a one-dimensional output ndarray.
+ - a zero-dimensional ndarray containing the scalar constant to subtract.
+
+ Returns
+ -------
+ out: ndarray
+ Output ndarray.
+
+ Examples
+ --------
+ > var xbuf = [ -2.0, 1.0, 3.0, -5.0 ];
+ > var x = {{alias:@stdlib/ndarray/vector/ctor}}( xbuf, 'generic' );
+ > var wbuf = [ 0.0, 0.0, 0.0, 0.0 ];
+ > var w = {{alias:@stdlib/ndarray/vector/ctor}}( wbuf, 'generic' );
+ > var opts = { 'dtype': 'generic' };
+ > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, opts );
+ > {{alias}}( [ x, w, alpha ] )
+ [ -7.0, -4.0, -2.0, -10.0 ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/types/index.d.ts
new file mode 100644
index 000000000000..b14276262365
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/types/index.d.ts
@@ -0,0 +1,58 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Subtracts a scalar constant from each element in an input one-dimensional ndarray and assigns the results to elements in a one-dimensional output ndarray.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+* - a one-dimensional output ndarray.
+* - a zero-dimensional ndarray containing the scalar constant to subtract.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = vector( [ -2.0, 1.0, 3.0, -5.0 ], 'generic' );
+* var w = vector( [ 0.0, 0.0, 0.0, 0.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 5.0, {
+* 'dtype': 'generic'
+* });
+*
+* var out = gwxsa( [ x, w, alpha ] );
+* // returns [ -7.0, -4.0, -2.0, -10.0 ]
+*/
+declare function gwxsa = typedndarray>( arrays: [ typedndarray, T, typedndarray ] ): T;
+
+
+// EXPORTS //
+
+export = gwxsa;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/types/test.ts
new file mode 100644
index 000000000000..ea3e1f2098d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/docs/types/test.ts
@@ -0,0 +1,70 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import gwxsa = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+ const w = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+ const alpha = scalar2ndarray( 5.0, {
+ 'dtype': 'generic'
+ });
+
+ gwxsa( [ x, w, alpha ] ); // $ExpectType genericndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ gwxsa( '10' ); // $ExpectError
+ gwxsa( 5 ); // $ExpectError
+ gwxsa( true ); // $ExpectError
+ gwxsa( false ); // $ExpectError
+ gwxsa( null ); // $ExpectError
+ gwxsa( undefined ); // $ExpectError
+ gwxsa( [] ); // $ExpectError
+ gwxsa( {} ); // $ExpectError
+ gwxsa( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+ const w = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+ const alpha = scalar2ndarray( 5.0, {
+ 'dtype': 'generic'
+ });
+
+ gwxsa(); // $ExpectError
+ gwxsa( [ x, w, alpha ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/examples/index.js
new file mode 100644
index 000000000000..c0a08ebb3382
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var gwxsa = require( './../lib' );
+
+var opts = {
+ 'dtype': 'generic'
+};
+
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var w = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+gwxsa( [ x, w, alpha ] );
+console.log( ndarray2array( w ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/lib/index.js
new file mode 100644
index 000000000000..826f15315d50
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/lib/index.js
@@ -0,0 +1,49 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Subtract a scalar constant from each element in an input one-dimensional ndarray and assign the results to elements in a one-dimensional output ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/gwxsa
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var gwxsa = require( '@stdlib/blas/ext/base/ndarray/gwxsa' );
+*
+* var x = vector( [ -2.0, 1.0, 3.0, -5.0 ], 'generic' );
+* var w = vector( [ 0.0, 0.0, 0.0, 0.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 5.0, {
+* 'dtype': 'generic'
+* });
+*
+* var out = gwxsa( [ x, w, alpha ] );
+* // returns [ -7.0, -4.0, -2.0, -10.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/lib/main.js
new file mode 100644
index 000000000000..f0771523fbaa
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxsa/lib/main.js
@@ -0,0 +1,79 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/gwxsa' ).ndarray;
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+
+
+// MAIN //
+
+/**
+* Subtracts a scalar constant from each element in an input one-dimensional ndarray and assigns the results to elements in a one-dimensional output ndarray.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+* - a one-dimensional output ndarray.
+* - a zero-dimensional ndarray containing the scalar constant to subtract.
+*
+* @param {ArrayLikeObject