From dfa355dc2241326ca55bfd09134a4a6ea23a625d Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 15 Jun 2026 22:10:56 +0530
Subject: [PATCH 1/6] feat: add blas/base/ndarray/gemv

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---
 .../@stdlib/blas/base/ndarray/ggemv/README.md | 138 ++++++++
 .../base/ndarray/ggemv/benchmark/benchmark.js | 116 +++++++
 .../blas/base/ndarray/ggemv/docs/repl.txt     |  40 +++
 .../base/ndarray/ggemv/docs/types/index.d.ts  |  68 ++++
 .../base/ndarray/ggemv/docs/types/test.ts     |  81 +++++
 .../blas/base/ndarray/ggemv/examples/index.js |  45 +++
 .../blas/base/ndarray/ggemv/lib/index.js      |  57 ++++
 .../blas/base/ndarray/ggemv/lib/main.js       |  84 +++++
 .../blas/base/ndarray/ggemv/package.json      |  72 ++++
 .../blas/base/ndarray/ggemv/test/test.js      | 312 ++++++++++++++++++
 10 files changed, 1013 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
new file mode 100644
index 000000000000..bb035beb1301
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
@@ -0,0 +1,138 @@
+<!--
+
+@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.
+
+-->
+
+# ggemv
+
+> Perform the matrix-vector operation `y = alpha*A*x + beta*y`.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
+```
+
+#### ggemv( arrays )
+
+Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
+
+```javascript
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+var y = vector( [ 4.0, 5.0 ], 'generic' );
+
+var alpha = scalar2ndarray( 3.0, {
+    'dtype': 'generic'
+});
+var beta = scalar2ndarray( 2.0, {
+    'dtype': 'generic'
+});
+
+var out = ggemv( [ A, x, y, alpha, beta ] );
+// returns <ndarray>[ 50.0, 106.0 ]
+
+var bool = ( out === y );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a two-dimensional input ndarray.
+    -   first one-dimensional input ndarray.
+    -   second one-dimensional input/output ndarray.
+    -   first zero-dimensional ndarray containing a scalar constant.
+    -   second zero-dimensional ndarray containing a scalar constant.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
+
+var opts = {
+    'dtype': 'generic'
+};
+
+var A = new ndarray( 'generic', discreteUniform( 12, 0, 10, opts ), [ 3, 4 ], [ 4, 1 ], 0, 'row-major' );
+console.log( ndarray2array( A ) );
+
+var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
+console.log( ndarray2array( x ) );
+
+var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
+console.log( ndarray2array( y ) );
+
+var alpha = scalar2ndarray( 3.0, opts );
+var beta = scalar2ndarray( 2.0, opts );
+
+var out = ggemv( [ A, x, y, alpha, beta ] );
+console.log( ndarray2array( out ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js
new file mode 100644
index 000000000000..3bf4b5d0e2ba
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js
@@ -0,0 +1,116 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var ggemv = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var beta;
+	var x;
+	var y;
+	var A;
+
+	A = uniform( [ len, len ], -100.0, 100.0, options );
+	x = uniform( [ len ], -100.0, 100.0, options );
+	y = uniform( [ len ], -100.0, 100.0, options );
+
+	alpha = scalar2ndarray( 3.0, options );
+	beta = scalar2ndarray( 2.0, options );
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = ggemv( [ A, x, y, alpha, beta ] );
+			if ( typeof z !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( z.get( i%len ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		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 = 3; // 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/base/ndarray/ggemv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
new file mode 100644
index 000000000000..4e1f83b2cf7d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
@@ -0,0 +1,40 @@
+
+{{alias}}( arrays )
+    Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where
+    `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is
+    an `M` by `N` matrix.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a two-dimensional input ndarray.
+        - first one-dimensional input ndarray.
+        - second one-dimensional input/output ndarray.
+        - first zero-dimensional ndarray containing a scalar constant.
+        - second zero-dimensional ndarray containing a scalar constant.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var buf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+    > var sh = [ 2, 3 ];
+    > var st = [ 3, 1 ];
+    > var A = new {{alias:@stdlib/ndarray/base/ctor}}( 'generic', buf, sh, st, 0, 'row-major' );
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 1.0, 2.0, 3.0 ], 'generic' );
+    > var y = {{alias:@stdlib/ndarray/vector/ctor}}( [ 4.0, 5.0 ], 'generic' );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 3.0, { 'dtype': 'generic' });
+    > var beta = {{alias:@stdlib/ndarray/from-scalar}}( 2.0, { 'dtype': 'generic' });
+
+    > {{alias}}( [ A, x, y, alpha, beta ] );
+    > y
+    <ndarray>[ 50.0, 106.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts
new file mode 100644
index 000000000000..b538b5f1beb6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts
@@ -0,0 +1,68 @@
+/*
+* @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
+
+/// <reference types="@stdlib/types"/>
+
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a two-dimensional input ndarray.
+*     -   first one-dimensional input ndarray.
+*     -   second one-dimensional input/output ndarray.
+*     -   first zero-dimensional ndarray containing a scalar constant.
+*     -   second zero-dimensional ndarray containing a scalar constant.
+*
+* @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 ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+* var y = vector( [ 4.0, 5.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 3.0, {
+*     'dtype': 'generic'
+* });
+* var beta = scalar2ndarray( 2.0, {
+*     'dtype': 'generic'
+* });
+*
+* var z = ggemv( [ A, x, y, alpha, beta ] );
+* // returns <ndarray>[ 50.0, 106.0 ]
+*
+* var bool = ( z === y );
+* // returns true
+*/
+declare function ggemv<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>, V extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, V, typedndarray<number>, typedndarray<number> ] ): V;
+
+
+// EXPORTS //
+
+export = ggemv;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts
new file mode 100644
index 000000000000..9ae79b687535
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts
@@ -0,0 +1,81 @@
+/*
+* @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 ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const A = zeros( [ 2, 3 ], {
+		'dtype': 'generic'
+	});
+	const x = zeros( [ 3 ], {
+		'dtype': 'generic'
+	});
+	const y = zeros( [ 2 ], {
+		'dtype': 'generic'
+	});
+	const alpha = zeros( [], {
+		'dtype': 'generic'
+	});
+	const beta = zeros( [], {
+		'dtype': 'generic'
+	});
+
+	ggemv( [ A, x, y, alpha, beta ] ); // $ExpectType genericndarray<number>
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	ggemv( '10' ); // $ExpectError
+	ggemv( 10 ); // $ExpectError
+	ggemv( true ); // $ExpectError
+	ggemv( false ); // $ExpectError
+	ggemv( null ); // $ExpectError
+	ggemv( undefined ); // $ExpectError
+	ggemv( [] ); // $ExpectError
+	ggemv( {} ); // $ExpectError
+	ggemv( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const A = zeros( [ 2, 3 ], {
+		'dtype': 'generic'
+	});
+	const x = zeros( [ 3 ], {
+		'dtype': 'generic'
+	});
+	const y = zeros( [ 2 ], {
+		'dtype': 'generic'
+	});
+	const alpha = zeros( [], {
+		'dtype': 'generic'
+	});
+	const beta = zeros( [], {
+		'dtype': 'generic'
+	});
+
+	ggemv(); // $ExpectError
+	ggemv( [ A, x, y, alpha, beta ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
new file mode 100644
index 000000000000..f0c0c2d7b282
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
@@ -0,0 +1,45 @@
+/**
+* @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/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ggemv = require( './../lib' );
+
+var opts = {
+	'dtype': 'generic'
+};
+
+var A = new ndarray( 'generic', discreteUniform( 12, 0, 10, opts ), [ 3, 4 ], [ 4, 1 ], 0, 'row-major' );
+console.log( ndarray2array( A ) );
+
+var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
+console.log( ndarray2array( x ) );
+
+var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
+console.log( ndarray2array( y ) );
+
+var alpha = scalar2ndarray( 3.0, opts );
+var beta = scalar2ndarray( 2.0, opts );
+
+var out = ggemv( [ A, x, y, alpha, beta ] );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js
new file mode 100644
index 000000000000..ecae5858cd6d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js
@@ -0,0 +1,57 @@
+/**
+* @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';
+
+/**
+* BLAS level 2 routine to perform the matrix-vector operation `y = alpha*A*x + beta*y`.
+*
+* @module @stdlib/blas/base/ndarray/ggemv
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
+*
+* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+* var y = vector( [ 4.0, 5.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 3.0, {
+*     'dtype': 'generic'
+* });
+* var beta = scalar2ndarray( 2.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = ggemv( [ A, x, y, alpha, beta ] );
+* // returns <ndarray>[ 50.0, 106.0 ]
+*
+* var bool = ( out === y );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js
new file mode 100644
index 000000000000..4f9837d9faae
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js
@@ -0,0 +1,84 @@
+/**
+* @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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/base/ggemv' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a two-dimensional input ndarray.
+*     -   first one-dimensional input ndarray.
+*     -   second one-dimensional input/output ndarray.
+*     -   first zero-dimensional ndarray containing a scalar constant.
+*     -   second zero-dimensional ndarray containing a scalar constant.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} output ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+* var y = vector( [ 4.0, 5.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 3.0, {
+*     'dtype': 'generic'
+* });
+* var beta = scalar2ndarray( 2.0, {
+*     'dtype': 'generic'
+* });
+*
+* var z = ggemv( [ A, x, y, alpha, beta ] );
+* // returns <ndarray>[ 50.0, 106.0 ]
+*
+* var bool = ( z === y );
+* // returns true
+*/
+function ggemv( arrays ) {
+	var alpha = ndarraylike2scalar( arrays[ 3 ] );
+	var beta = ndarraylike2scalar( arrays[ 4 ] );
+	var A = arrays[ 0 ];
+	var x = arrays[ 1 ];
+	var y = arrays[ 2 ];
+	strided( 'no-transpose', numelDimension( A, 0 ), numelDimension( A, 1 ), alpha, getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ), beta, getData( y ), getStride( y, 0 ), getOffset( y ) );
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = ggemv;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json
new file mode 100644
index 000000000000..9db1a803f313
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/blas/base/ndarray/ggemv",
+  "version": "0.0.0",
+  "description": "Perform the matrix-vector operation `y = alpha*A*x + beta*y`.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "level 2",
+    "ggemv",
+    "linear",
+    "algebra",
+    "subroutines",
+    "matrix-vector",
+    "multiply",
+    "vector",
+    "matrix",
+    "array",
+    "ndarray",
+    "typedndarray",
+    "generic",
+    "number"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js
new file mode 100644
index 000000000000..b8ae5ad1e53b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js
@@ -0,0 +1,312 @@
+/**
+* @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 tape = require( 'tape' );
+var isSameArray = require( '@stdlib/assert/is-same-array' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var ggemv = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+/**
+* Returns a two-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} M - number of rows
+* @param {NonNegativeInteger} N - number of columns
+* @param {integer} stride0 - stride of the first dimension
+* @param {integer} stride1 - stride of the second dimension
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} two-dimensional ndarray
+*/
+function matrix( buffer, M, N, stride0, stride1, offset ) {
+	return new ndarray( 'generic', buffer, [ M, N ], [ stride0, stride1 ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof ggemv, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( ggemv.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y`', function test( t ) {
+	var expected;
+	var alpha;
+	var beta;
+	var xbuf;
+	var ybuf;
+	var Abuf;
+	var x;
+	var y;
+	var A;
+	var v;
+
+	xbuf = [ 1.0, 2.0 ];
+	ybuf = [ 1.0, 2.0, 3.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+	A = matrix( Abuf, 3, 2, 2, 1, 0 );
+	x = vector( xbuf, 2, 1, 0 );
+	y = vector( ybuf, 3, 1, 0 );
+	alpha = scalar2ndarray( 1.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 1.0, {
+		'dtype': 'generic'
+	});
+
+	v = ggemv( [ A, x, y, alpha, beta ] );
+
+	expected = [ 6.0, 13.0, 20.0 ];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = [ 1.0, 1.0, 1.0 ];
+	ybuf = [ 1.0, 1.0 ];
+	Abuf = [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ];
+	A = matrix( Abuf, 2, 3, 1, 2, 0 );
+	x = vector( xbuf, 3, 1, 0 );
+	y = vector( ybuf, 2, 1, 0 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = ggemv( [ A, x, y, alpha, beta ] );
+
+	expected = [ 14.0, 32.0 ];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if `alpha` is `0`, the function returns `beta*y`', function test( t ) {
+	var expected;
+	var alpha;
+	var beta;
+	var xbuf;
+	var ybuf;
+	var Abuf;
+	var x;
+	var y;
+	var A;
+	var v;
+
+	xbuf = [ 1.0, 2.0 ];
+	ybuf = [ 3.0, 4.0, 5.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+	A = matrix( Abuf, 3, 2, 2, 1, 0 );
+	x = vector( xbuf, 2, 1, 0 );
+	y = vector( ybuf, 3, 1, 0 );
+	alpha = scalar2ndarray( 0.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = ggemv( [ A, x, y, alpha, beta ] );
+
+	expected = [ 6.0, 8.0, 10.0 ];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var alpha;
+	var beta;
+	var xbuf;
+	var ybuf;
+	var Abuf;
+	var x;
+	var y;
+	var A;
+	var v;
+
+	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	A = matrix( Abuf, 2, 3, 3, 1, 0 );
+
+	xbuf = [
+		1.0, // 0
+		0.0,
+		2.0, // 1
+		0.0,
+		3.0  // 2
+	];
+	x = vector( xbuf, 3, 2, 0 );
+
+	ybuf = [
+		1.0, // 0
+		0.0,
+		2.0  // 1
+	];
+	y = vector( ybuf, 2, 2, 0 );
+
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = ggemv( [ A, x, y, alpha, beta ] );
+
+	expected = [ 2.0, 0.0, 4.0 ];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having negative strides', function test( t ) {
+	var expected;
+	var alpha;
+	var beta;
+	var xbuf;
+	var ybuf;
+	var Abuf;
+	var x;
+	var y;
+	var A;
+	var v;
+
+	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	A = matrix( Abuf, 2, 3, 3, 1, 0 );
+
+	xbuf = [
+		3.0, // 2
+		2.0, // 1
+		1.0  // 0
+	];
+	x = vector( xbuf, 3, -1, 2 );
+
+	ybuf = [
+		2.0, // 1
+		1.0  // 0
+	];
+	y = vector( ybuf, 2, -1, 1 );
+
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = ggemv( [ A, x, y, alpha, beta ] );
+
+	expected = [ 4.0, 2.0 ];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var alpha;
+	var beta;
+	var xbuf;
+	var ybuf;
+	var Abuf;
+	var x;
+	var y;
+	var A;
+	var v;
+
+	Abuf = [
+		999.0,
+		999.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	];
+	A = matrix( Abuf, 2, 3, 3, 1, 2 );
+
+	xbuf = [
+		0.0,
+		0.0,
+		1.0, // 0
+		2.0, // 1
+		3.0  // 2
+	];
+	x = vector( xbuf, 3, 1, 2 );
+
+	ybuf = [
+		0.0,
+		1.0, // 0
+		0.0,
+		2.0  // 1
+	];
+	y = vector( ybuf, 2, 2, 1 );
+
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = ggemv( [ A, x, y, alpha, beta ] );
+
+	expected = [
+		0.0,
+		2.0,
+		0.0,
+		4.0
+	];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From 9b5085650802e30d13d7f14e11b0f0b34cb284ad Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 12 Jul 2026 21:52:56 +0530
Subject: [PATCH 2/6] feat: add ndarray/matrix/ctor and cleanup

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
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    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: passed
  - task: lint_markdown_docs
    status: na
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    status: na
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    status: passed
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    status: passed
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    status: passed
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    status: na
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    status: passed
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    status: passed
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    status: passed
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    status: na
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    status: na
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    status: passed
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    status: passed
---
---
 .../@stdlib/blas/base/ndarray/ggemv/README.md |  58 +++---
 .../base/ndarray/ggemv/benchmark/benchmark.js |  13 +-
 .../blas/base/ndarray/ggemv/docs/repl.txt     |  48 +++--
 .../base/ndarray/ggemv/docs/types/index.d.ts  |  33 ++--
 .../base/ndarray/ggemv/docs/types/test.ts     |  10 +-
 .../blas/base/ndarray/ggemv/examples/index.js |  23 ++-
 .../blas/base/ndarray/ggemv/lib/index.js      |  18 +-
 .../blas/base/ndarray/ggemv/lib/main.js       |  60 ++++--
 .../blas/base/ndarray/ggemv/package.json      |   2 +-
 .../blas/base/ndarray/ggemv/test/test.js      | 175 ++++++++++++++----
 10 files changed, 298 insertions(+), 142 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
index bb035beb1301..d6718bf4b74d 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # ggemv
 
-> Perform the matrix-vector operation `y = alpha*A*x + beta*y`.
+> Perform one of the matrix-vector operations `y = alpha*A*x + beta*y` or `y = alpha*A^T*x + beta*y`.
 
 <section class="intro">
 
@@ -38,26 +38,31 @@ var ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 
 #### ggemv( arrays )
 
-Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
+Performs one of the matrix-vector operations `y = alpha*A*x + beta*y` or `y = alpha*A^T*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are one-dimensional ndarrays, and `A` is an `M` by `N` matrix.
 
 ```javascript
+/* eslint-disable max-len */
+var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 
-var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ], 'generic' );
 var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 var y = vector( [ 4.0, 5.0 ], 'generic' );
 
-var alpha = scalar2ndarray( 3.0, {
+var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+    'dtype': 'int8'
+});
+var alpha = scalar2ndarray( 1.0, {
     'dtype': 'generic'
 });
-var beta = scalar2ndarray( 2.0, {
+var beta = scalar2ndarray( 1.0, {
     'dtype': 'generic'
 });
 
-var out = ggemv( [ A, x, y, alpha, beta ] );
-// returns <ndarray>[ 50.0, 106.0 ]
+var out = ggemv( [ A, x, y, trans, alpha, beta ] );
+// returns <ndarray>[ 18.0, 37.0 ]
 
 var bool = ( out === y );
 // returns true
@@ -67,11 +72,12 @@ The function has the following parameters:
 
 -   **arrays**: array-like object containing the following ndarrays:
 
-    -   a two-dimensional input ndarray.
-    -   first one-dimensional input ndarray.
-    -   second one-dimensional input/output ndarray.
-    -   first zero-dimensional ndarray containing a scalar constant.
-    -   second zero-dimensional ndarray containing a scalar constant.
+    -   a two-dimensional input ndarray corresponding to `A`.
+    -   a one-dimensional input ndarray corresponding to `x`.
+    -   a one-dimensional input/output ndarray corresponding to `y`.
+    -   a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed.
+    -   a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
+    -   a zero-dimensional ndarray containing a scalar constant corresponding to `beta`.
 
 </section>
 
@@ -90,10 +96,12 @@ The function has the following parameters:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
+/* eslint-disable max-len */
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 
@@ -101,19 +109,17 @@ var opts = {
     'dtype': 'generic'
 };
 
-var A = new ndarray( 'generic', discreteUniform( 12, 0, 10, opts ), [ 3, 4 ], [ 4, 1 ], 0, 'row-major' );
-console.log( ndarray2array( A ) );
-
-var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
-console.log( ndarray2array( x ) );
+var A = matrix( ndarray2array( discreteUniform( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
+var x = vector( ndarray2array( discreteUniform( [ 4 ], 0, 10, opts ) ), 'generic' );
+var y = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
 
-var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
-console.log( ndarray2array( y ) );
-
-var alpha = scalar2ndarray( 3.0, opts );
-var beta = scalar2ndarray( 2.0, opts );
+var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+    'dtype': 'int8'
+});
+var alpha = scalar2ndarray( 1.0, opts );
+var beta = scalar2ndarray( 1.0, opts );
 
-var out = ggemv( [ A, x, y, alpha, beta ] );
+var out = ggemv( [ A, x, y, trans, alpha, beta ] );
 console.log( ndarray2array( out ) );
 ```
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js
index 3bf4b5d0e2ba..1e25a8cf12b4 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/benchmark/benchmark.js
@@ -25,6 +25,7 @@ var uniform = require( '@stdlib/random/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var ggemv = require( './../lib' );
@@ -47,18 +48,22 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
+	var trans;
 	var alpha;
 	var beta;
+	var A;
 	var x;
 	var y;
-	var A;
 
 	A = uniform( [ len, len ], -100.0, 100.0, options );
 	x = uniform( [ len ], -100.0, 100.0, options );
 	y = uniform( [ len ], -100.0, 100.0, options );
 
-	alpha = scalar2ndarray( 3.0, options );
-	beta = scalar2ndarray( 2.0, options );
+	alpha = scalar2ndarray( 1.0, options );
+	beta = scalar2ndarray( 1.0, options );
+	trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+		'dtype': 'int8'
+	});
 
 	return benchmark;
 
@@ -74,7 +79,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			z = ggemv( [ A, x, y, alpha, beta ] );
+			z = ggemv( [ A, x, y, trans, alpha, beta ] );
 			if ( typeof z !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
index 4e1f83b2cf7d..50d08645d0da 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
@@ -1,19 +1,23 @@
 
 {{alias}}( arrays )
-    Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where
-    `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is
-    an `M` by `N` matrix.
+    Performs one of the matrix-vector operations `y = alpha*A*x + beta*y` or
+    `y = alpha*A^T*x + beta*y`, where `alpha` and `beta` are scalars, `x` and
+    `y` are one-dimensional ndarrays, and `A` is an `M` by `N` matrix.
 
     Parameters
     ----------
     arrays: ArrayLikeObject<ndarray>
         Array-like object containing the following ndarrays:
 
-        - a two-dimensional input ndarray.
-        - first one-dimensional input ndarray.
-        - second one-dimensional input/output ndarray.
-        - first zero-dimensional ndarray containing a scalar constant.
-        - second zero-dimensional ndarray containing a scalar constant.
+        - a two-dimensional input ndarray corresponding to `A`.
+        - a one-dimensional input ndarray corresponding to `x`.
+        - a one-dimensional input/output ndarray corresponding to `y`.
+        - a zero-dimensional ndarray specifying whether `A` should be
+        - transposed, conjugate-transposed, or not transposed.
+        - a zero-dimensional ndarray containing a scalar constant corresponding
+        to `alpha`.
+        - a zero-dimensional ndarray containing a scalar constant corresponding
+        to `beta`.
 
     Returns
     -------
@@ -22,18 +26,24 @@
 
     Examples
     --------
-    > var buf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
-    > var sh = [ 2, 3 ];
-    > var st = [ 3, 1 ];
-    > var A = new {{alias:@stdlib/ndarray/base/ctor}}( 'generic', buf, sh, st, 0, 'row-major' );
-    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 1.0, 2.0, 3.0 ], 'generic' );
-    > var y = {{alias:@stdlib/ndarray/vector/ctor}}( [ 4.0, 5.0 ], 'generic' );
-    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 3.0, { 'dtype': 'generic' });
-    > var beta = {{alias:@stdlib/ndarray/from-scalar}}( 2.0, { 'dtype': 'generic' });
-
-    > {{alias}}( [ A, x, y, alpha, beta ] );
+    > var abuf = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+    > var A = {{alias:@stdlib/ndarray/matrix/ctor}}( abuf, 'generic' );
+
+    > var xbuf = [ 1.0, 2.0, 3.0 ];
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( xbuf, 'generic' );
+
+    > var ybuf = [ 4.0, 5.0 ];
+    > var y = {{alias:@stdlib/ndarray/vector/ctor}}( ybuf, 'generic' );
+
+    > var opts = { 'dtype': 'generic' };
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, opts );
+    > var beta = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, opts );
+
+    > var trans = {{alias:@stdlib/ndarray/from-scalar}}( 'no-transpose' );
+
+    > {{alias}}( [ A, x, y, trans, alpha, beta ] );
     > y
-    <ndarray>[ 50.0, 106.0 ]
+    <ndarray>[ 18.0, 37.0 ]
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts
index b538b5f1beb6..4f424e48ff4e 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/index.d.ts
@@ -20,47 +20,52 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { typedndarray } from '@stdlib/types/ndarray';
+import { typedndarray, ndarray } from '@stdlib/types/ndarray';
 
 /**
-* Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
+* Performs one of the matrix-vector operations `y = alpha*A*x + beta*y` or `y = alpha*A^T*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are one-dimensional ndarrays, and `A` is an `M` by `N` matrix.
 *
 * ## Notes
 *
 * -   The function expects the following ndarrays:
 *
-*     -   a two-dimensional input ndarray.
-*     -   first one-dimensional input ndarray.
-*     -   second one-dimensional input/output ndarray.
-*     -   first zero-dimensional ndarray containing a scalar constant.
-*     -   second zero-dimensional ndarray containing a scalar constant.
+*     -   a two-dimensional input ndarray corresponding to `A`.
+*     -   a one-dimensional input ndarray corresponding to `x`.
+*     -   a one-dimensional input/output ndarray corresponding to `y`.
+*     -   a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed.
+*     -   a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
+*     -   a zero-dimensional ndarray containing a scalar constant corresponding to `beta`.
 *
 * @param arrays - array-like object containing ndarrays
 * @returns output ndarray
 *
 * @example
+* var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 * var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 *
-* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ], 'generic' );
 * var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 * var y = vector( [ 4.0, 5.0 ], 'generic' );
 *
-* var alpha = scalar2ndarray( 3.0, {
+* var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+*     'dtype': 'int8'
+* });
+* var alpha = scalar2ndarray( 1.0, {
 *     'dtype': 'generic'
 * });
-* var beta = scalar2ndarray( 2.0, {
+* var beta = scalar2ndarray( 1.0, {
 *     'dtype': 'generic'
 * });
 *
-* var z = ggemv( [ A, x, y, alpha, beta ] );
-* // returns <ndarray>[ 50.0, 106.0 ]
+* var z = ggemv( [ A, x, y, trans, alpha, beta ] );
+* // returns <ndarray>[ 18.0, 37.0 ]
 *
 * var bool = ( z === y );
 * // returns true
 */
-declare function ggemv<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>, V extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, V, typedndarray<number>, typedndarray<number> ] ): V;
+declare function ggemv<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>, V extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, V, ndarray, typedndarray<number>, typedndarray<number> ] ): V;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts
index 9ae79b687535..d9ef68af4f94 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/types/test.ts
@@ -35,6 +35,9 @@ import ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 	const y = zeros( [ 2 ], {
 		'dtype': 'generic'
 	});
+	const trans = zeros( [], {
+		'dtype': 'int8'
+	});
 	const alpha = zeros( [], {
 		'dtype': 'generic'
 	});
@@ -42,7 +45,7 @@ import ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 		'dtype': 'generic'
 	});
 
-	ggemv( [ A, x, y, alpha, beta ] ); // $ExpectType genericndarray<number>
+	ggemv( [ A, x, y, trans, alpha, beta ] ); // $ExpectType genericndarray<number>
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -69,6 +72,9 @@ import ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 	const y = zeros( [ 2 ], {
 		'dtype': 'generic'
 	});
+	const trans = zeros( [], {
+		'dtype': 'int8'
+	});
 	const alpha = zeros( [], {
 		'dtype': 'generic'
 	});
@@ -77,5 +83,5 @@ import ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 	});
 
 	ggemv(); // $ExpectError
-	ggemv( [ A, x, y, alpha, beta ], {} ); // $ExpectError
+	ggemv( [ A, x, y, trans, alpha, beta ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
index f0c0c2d7b282..23b0c63698e4 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
@@ -19,9 +19,10 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ggemv = require( './../lib' );
 
@@ -29,17 +30,15 @@ var opts = {
 	'dtype': 'generic'
 };
 
-var A = new ndarray( 'generic', discreteUniform( 12, 0, 10, opts ), [ 3, 4 ], [ 4, 1 ], 0, 'row-major' );
-console.log( ndarray2array( A ) );
+var A = matrix( ndarray2array( discreteUniform( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
+var x = vector( ndarray2array( discreteUniform( [ 4 ], 0, 10, opts ) ), 'generic' );
+var y = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
 
-var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
-console.log( ndarray2array( x ) );
+var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+	'dtype': 'int8'
+});
+var alpha = scalar2ndarray( 1.0, opts );
+var beta = scalar2ndarray( 1.0, opts );
 
-var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
-console.log( ndarray2array( y ) );
-
-var alpha = scalar2ndarray( 3.0, opts );
-var beta = scalar2ndarray( 2.0, opts );
-
-var out = ggemv( [ A, x, y, alpha, beta ] );
+var out = ggemv( [ A, x, y, trans, alpha, beta ] );
 console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js
index ecae5858cd6d..0d9cb255269f 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/index.js
@@ -19,29 +19,33 @@
 'use strict';
 
 /**
-* BLAS level 2 routine to perform the matrix-vector operation `y = alpha*A*x + beta*y`.
+* BLAS level 2 routine to perform one of the matrix-vector operations `y = alpha*A*x + beta*y` or `y = alpha*A^T*x + beta*y`.
 *
 * @module @stdlib/blas/base/ndarray/ggemv
 *
 * @example
+* var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 * var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 * var ggemv = require( '@stdlib/blas/base/ndarray/ggemv' );
 *
-* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ], 'generic' );
 * var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 * var y = vector( [ 4.0, 5.0 ], 'generic' );
 *
-* var alpha = scalar2ndarray( 3.0, {
+* var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+*     'dtype': 'int8'
+* });
+* var alpha = scalar2ndarray( 1.0, {
 *     'dtype': 'generic'
 * });
-* var beta = scalar2ndarray( 2.0, {
+* var beta = scalar2ndarray( 1.0, {
 *     'dtype': 'generic'
 * });
 *
-* var out = ggemv( [ A, x, y, alpha, beta ] );
-* // returns <ndarray>[ 50.0, 106.0 ]
+* var out = ggemv( [ A, x, y, trans, alpha, beta ] );
+* // returns <ndarray>[ 18.0, 37.0 ]
 *
 * var bool = ( out === y );
 * // returns true
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js
index 4f9837d9faae..7ecd6466efa7 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/lib/main.js
@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getShape = require( '@stdlib/ndarray/base/shape' );
+var getStrides = require( '@stdlib/ndarray/base/strides' );
 var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
 var getData = require( '@stdlib/ndarray/base/data-buffer' );
@@ -31,50 +32,71 @@ var strided = require( '@stdlib/blas/base/ggemv' ).ndarray;
 // MAIN //
 
 /**
-* Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
+* Performs one of the matrix-vector operations `y = alpha*A*x + beta*y` or `y = alpha*A^T*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are one-dimensional ndarrays, and `A` is an `M` by `N` matrix.
 *
 * ## Notes
 *
 * -   The function expects the following ndarrays:
 *
-*     -   a two-dimensional input ndarray.
-*     -   first one-dimensional input ndarray.
-*     -   second one-dimensional input/output ndarray.
-*     -   first zero-dimensional ndarray containing a scalar constant.
-*     -   second zero-dimensional ndarray containing a scalar constant.
+*     -   a two-dimensional input ndarray corresponding to `A`.
+*     -   a one-dimensional input ndarray corresponding to `x`.
+*     -   a one-dimensional input/output ndarray corresponding to `y`.
+*     -   a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed.
+*     -   a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
+*     -   a zero-dimensional ndarray containing a scalar constant corresponding to `beta`.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
 * @returns {Object} output ndarray
 *
 * @example
+* var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 * var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 *
-* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ], 'generic' );
 * var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 * var y = vector( [ 4.0, 5.0 ], 'generic' );
 *
-* var alpha = scalar2ndarray( 3.0, {
+* var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+*     'dtype': 'int8'
+* });
+* var alpha = scalar2ndarray( 1.0, {
 *     'dtype': 'generic'
 * });
-* var beta = scalar2ndarray( 2.0, {
+* var beta = scalar2ndarray( 1.0, {
 *     'dtype': 'generic'
 * });
 *
-* var z = ggemv( [ A, x, y, alpha, beta ] );
-* // returns <ndarray>[ 50.0, 106.0 ]
+* var z = ggemv( [ A, x, y, trans, alpha, beta ] );
+* // returns <ndarray>[ 18.0, 37.0 ]
 *
 * var bool = ( z === y );
 * // returns true
 */
 function ggemv( arrays ) {
-	var alpha = ndarraylike2scalar( arrays[ 3 ] );
-	var beta = ndarraylike2scalar( arrays[ 4 ] );
-	var A = arrays[ 0 ];
-	var x = arrays[ 1 ];
-	var y = arrays[ 2 ];
-	strided( 'no-transpose', numelDimension( A, 0 ), numelDimension( A, 1 ), alpha, getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ), beta, getData( y ), getStride( y, 0 ), getOffset( y ) );
+	var trans;
+	var alpha;
+	var beta;
+	var sh;
+	var st;
+	var A;
+	var x;
+	var y;
+
+	A = arrays[ 0 ];
+	x = arrays[ 1 ];
+	y = arrays[ 2 ];
+
+	trans = ndarraylike2scalar( arrays[ 3 ] );
+	alpha = ndarraylike2scalar( arrays[ 4 ] );
+	beta = ndarraylike2scalar( arrays[ 5 ] );
+
+	sh = getShape( A, false );
+	st = getStrides( A, false );
+
+	strided( trans, sh[ 0 ], sh[ 1 ], alpha, getData( A ), st[ 0 ], st[ 1 ], getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ), beta, getData( y ), getStride( y, 0 ), getOffset( y ) );
+
 	return y;
 }
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json
index 9db1a803f313..28c61878e34d 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/blas/base/ndarray/ggemv",
   "version": "0.0.0",
-  "description": "Perform the matrix-vector operation `y = alpha*A*x + beta*y`.",
+  "description": "Perform one of the matrix-vector operations `y = alpha*A*x + beta*y` or `y = alpha*A^T*x + beta*y`.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js
index b8ae5ad1e53b..c83d432671ba 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/test/test.js
@@ -23,6 +23,7 @@
 var tape = require( 'tape' );
 var isSameArray = require( '@stdlib/assert/is-same-array' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var getData = require( '@stdlib/ndarray/data-buffer' );
 var ggemv = require( './../lib' );
@@ -76,6 +77,7 @@ tape( 'the function has an arity of 1', function test( t ) {
 
 tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y`', function test( t ) {
 	var expected;
+	var trans;
 	var alpha;
 	var beta;
 	var xbuf;
@@ -86,8 +88,15 @@ tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y
 	var A;
 	var v;
 
-	xbuf = [ 1.0, 2.0 ];
-	ybuf = [ 1.0, 2.0, 3.0 ];
+	xbuf = [
+		1.0, // 0
+		2.0  // 1
+	];
+	ybuf = [
+		1.0, // 0
+		2.0, // 1
+		3.0  // 2
+	];
 	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
 	A = matrix( Abuf, 3, 2, 2, 1, 0 );
 	x = vector( xbuf, 2, 1, 0 );
@@ -99,15 +108,26 @@ tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y
 		'dtype': 'generic'
 	});
 
-	v = ggemv( [ A, x, y, alpha, beta ] );
+	trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
 
 	expected = [ 6.0, 13.0, 20.0 ];
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = [ 1.0, 1.0, 1.0 ];
-	ybuf = [ 1.0, 1.0 ];
-	Abuf = [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ];
+	xbuf = [
+		1.0, // 0
+		2.0, // 1
+		3.0  // 2
+	];
+	ybuf = [
+		1.0, // 0
+		2.0  // 1
+	];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
 	A = matrix( Abuf, 2, 3, 1, 2, 0 );
 	x = vector( xbuf, 3, 1, 0 );
 	y = vector( ybuf, 2, 1, 0 );
@@ -118,9 +138,58 @@ tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y
 		'dtype': 'generic'
 	});
 
-	v = ggemv( [ A, x, y, alpha, beta ] );
+	trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
 
-	expected = [ 14.0, 32.0 ];
+	expected = [ 46.0, 60.0 ];
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A^T*x + beta*y`', function test( t ) {
+	var expected;
+	var trans;
+	var alpha;
+	var beta;
+	var xbuf;
+	var ybuf;
+	var Abuf;
+	var x;
+	var y;
+	var A;
+	var v;
+
+	xbuf = [
+		1.0, // 0
+		2.0  // 1
+	];
+	ybuf = [
+		1.0, // 0
+		2.0  // 1
+	];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0 ];
+	A = matrix( Abuf, 2, 2, 2, 1, 0 );
+	x = vector( xbuf, 2, 1, 0 );
+	y = vector( ybuf, 2, 1, 0 );
+	alpha = scalar2ndarray( 1.0, {
+		'dtype': 'generic'
+	});
+	beta = scalar2ndarray( 1.0, {
+		'dtype': 'generic'
+	});
+
+	trans = scalar2ndarray( resolveEnum( 'transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
+
+	expected = [ 8.0, 12.0 ];
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
 
@@ -129,6 +198,7 @@ tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y
 
 tape( 'if `alpha` is `0`, the function returns `beta*y`', function test( t ) {
 	var expected;
+	var trans;
 	var alpha;
 	var beta;
 	var xbuf;
@@ -139,8 +209,15 @@ tape( 'if `alpha` is `0`, the function returns `beta*y`', function test( t ) {
 	var A;
 	var v;
 
-	xbuf = [ 1.0, 2.0 ];
-	ybuf = [ 3.0, 4.0, 5.0 ];
+	xbuf = [
+		1.0, // 0
+		2.0  // 1
+	];
+	ybuf = [
+		1.0, // 0
+		2.0, // 1
+		3.0  // 2
+	];
 	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
 	A = matrix( Abuf, 3, 2, 2, 1, 0 );
 	x = vector( xbuf, 2, 1, 0 );
@@ -152,17 +229,22 @@ tape( 'if `alpha` is `0`, the function returns `beta*y`', function test( t ) {
 		'dtype': 'generic'
 	});
 
-	v = ggemv( [ A, x, y, alpha, beta ] );
+	trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
 
-	expected = [ 6.0, 8.0, 10.0 ];
+	expected = [ 2.0, 4.0, 6.0 ];
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'the function supports ndarrays having non-unit strides', function test( t ) {
+tape( 'the function supports ndarrays having non-unit strides (transpose)', function test( t ) {
 	var expected;
+	var trans;
 	var alpha;
 	var beta;
 	var xbuf;
@@ -173,24 +255,24 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 	var A;
 	var v;
 
-	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
 	A = matrix( Abuf, 2, 3, 3, 1, 0 );
 
 	xbuf = [
 		1.0, // 0
 		0.0,
-		2.0, // 1
-		0.0,
-		3.0  // 2
+		2.0  // 1
 	];
-	x = vector( xbuf, 3, 2, 0 );
+	x = vector( xbuf, 2, 2, 0 );
 
 	ybuf = [
 		1.0, // 0
 		0.0,
-		2.0  // 1
+		2.0, // 1
+		0.0,
+		3.0  // 2
 	];
-	y = vector( ybuf, 2, 2, 0 );
+	y = vector( ybuf, 3, 2, 0 );
 
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
@@ -199,16 +281,21 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 		'dtype': 'generic'
 	});
 
-	v = ggemv( [ A, x, y, alpha, beta ] );
+	trans = scalar2ndarray( resolveEnum( 'transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
 
-	expected = [ 2.0, 0.0, 4.0 ];
+	expected = [ 20.0, 0.0, 28.0, 0.0, 36.0 ];
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
 });
 
-tape( 'the function supports ndarrays having negative strides', function test( t ) {
+tape( 'the function supports ndarrays having negative strides (transpose)', function test( t ) {
 	var expected;
+	var trans;
 	var alpha;
 	var beta;
 	var xbuf;
@@ -219,21 +306,24 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 	var A;
 	var v;
 
-	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
 	A = matrix( Abuf, 2, 3, 3, 1, 0 );
 
 	xbuf = [
-		3.0, // 2
 		2.0, // 1
+		0.0,
 		1.0  // 0
 	];
-	x = vector( xbuf, 3, -1, 2 );
+	x = vector( xbuf, 2, -2, 2 );
 
 	ybuf = [
+		3.0, // 2
+		0.0,
 		2.0, // 1
+		0.0,
 		1.0  // 0
 	];
-	y = vector( ybuf, 2, -1, 1 );
+	y = vector( ybuf, 3, -2, 4 );
 
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
@@ -242,9 +332,13 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 		'dtype': 'generic'
 	});
 
-	v = ggemv( [ A, x, y, alpha, beta ] );
+	trans = scalar2ndarray( resolveEnum( 'transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
 
-	expected = [ 4.0, 2.0 ];
+	expected = [ 36.0, 0.0, 28.0, 0.0, 20.0 ];
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
@@ -252,6 +346,7 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 
 tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
 	var expected;
+	var trans;
 	var alpha;
 	var beta;
 	var xbuf;
@@ -263,14 +358,14 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t
 	var v;
 
 	Abuf = [
-		999.0,
-		999.0,
-		0.0,
 		0.0,
 		0.0,
-		0.0,
-		0.0,
-		0.0
+		1.0,
+		2.0,
+		3.0,
+		4.0,
+		5.0,
+		6.0
 	];
 	A = matrix( Abuf, 2, 3, 3, 1, 2 );
 
@@ -298,13 +393,17 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t
 		'dtype': 'generic'
 	});
 
-	v = ggemv( [ A, x, y, alpha, beta ] );
+	trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
+		'dtype': 'int8'
+	});
+
+	v = ggemv( [ A, x, y, trans, alpha, beta ] );
 
 	expected = [
 		0.0,
-		2.0,
+		30.0,
 		0.0,
-		4.0
+		68.0
 	];
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );

From babd34de98ecd3a5487c10a407a27cc2d6da108e Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 12 Jul 2026 22:05:15 +0530
Subject: [PATCH 3/6] fix: import utility

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: na
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/base/ndarray/ggemv/examples/index.js           | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
index 23b0c63698e4..171cb130a326 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
@@ -18,7 +18,7 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
 var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );

From b2407d69c79861c03ea3486d6d626f276a77b592 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 16:10:42 +0530
Subject: [PATCH 4/6] fix: examples

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: passed
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/base/ndarray/ggemv/README.md            | 9 +++++----
 .../@stdlib/blas/base/ndarray/ggemv/docs/repl.txt        | 2 +-
 .../@stdlib/blas/base/ndarray/ggemv/examples/index.js    | 9 +++++----
 3 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
index d6718bf4b74d..e82d216add35 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/README.md
@@ -97,7 +97,8 @@ The function has the following parameters:
 
 ```javascript
 /* eslint-disable max-len */
-var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var discreteUniformNd = require( '@stdlib/random/discrete-uniform' );
 var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
@@ -109,9 +110,9 @@ var opts = {
     'dtype': 'generic'
 };
 
-var A = matrix( ndarray2array( discreteUniform( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
-var x = vector( ndarray2array( discreteUniform( [ 4 ], 0, 10, opts ) ), 'generic' );
-var y = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
+var A = matrix( ndarray2array( discreteUniformNd( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
+var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
+var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
 
 var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
     'dtype': 'int8'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
index 50d08645d0da..dedc96905fdf 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/docs/repl.txt
@@ -13,7 +13,7 @@
         - a one-dimensional input ndarray corresponding to `x`.
         - a one-dimensional input/output ndarray corresponding to `y`.
         - a zero-dimensional ndarray specifying whether `A` should be
-        - transposed, conjugate-transposed, or not transposed.
+        transposed, conjugate-transposed, or not transposed.
         - a zero-dimensional ndarray containing a scalar constant corresponding
         to `alpha`.
         - a zero-dimensional ndarray containing a scalar constant corresponding
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
index 171cb130a326..e865ef58fefe 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
@@ -18,7 +18,8 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var discreteUniformNd = require( '@stdlib/random/discrete-uniform' );
 var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
@@ -30,9 +31,9 @@ var opts = {
 	'dtype': 'generic'
 };
 
-var A = matrix( ndarray2array( discreteUniform( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
-var x = vector( ndarray2array( discreteUniform( [ 4 ], 0, 10, opts ) ), 'generic' );
-var y = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
+var A = matrix( ndarray2array( discreteUniformNd( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
+var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
+var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
 
 var trans = scalar2ndarray( resolveEnum( 'no-transpose' ), {
 	'dtype': 'int8'

From 7c50676fcd78672b8d84bf626f26601c86780660 Mon Sep 17 00:00:00 2001
From: Kaustubh Patange <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 16:23:05 +0530
Subject: [PATCH 5/6] Update
 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js

Signed-off-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
---
 .../@stdlib/blas/base/ndarray/ggemv/examples/index.js            | 1 -
 1 file changed, 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
index e865ef58fefe..43c11c637f80 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
@@ -19,7 +19,6 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var discreteUniformNd = require( '@stdlib/random/discrete-uniform' );
 var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );

From 6095160159e85dc45c0f595edf424ba21be632c6 Mon Sep 17 00:00:00 2001
From: Kaustubh Patange <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 16:23:13 +0530
Subject: [PATCH 6/6] Update
 lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js

Signed-off-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
---
 .../@stdlib/blas/base/ndarray/ggemv/examples/index.js           | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
index 43c11c637f80..7038217e29e1 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/ggemv/examples/index.js
@@ -30,7 +30,7 @@ var opts = {
 	'dtype': 'generic'
 };
 
-var A = matrix( ndarray2array( discreteUniformNd( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
+var A = matrix( ndarray2array( discreteUniform( [ 3, 4 ], 0, 10, opts ) ), 'generic' );
 var x = vector( discreteUniform( 4, 0, 10, opts ), 'generic' );
 var y = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );