diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/README.md
new file mode 100644
index 000000000000..bb686235cdb2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/README.md
@@ -0,0 +1,150 @@
+
+
+# cgemv
+
+> Perform one of the matrix-vector operations `y = alpha*A*x + beta*y`, `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*x + beta*y`.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var cgemv = require( '@stdlib/blas/base/ndarray/cgemv' );
+```
+
+#### cgemv( arrays )
+
+Performs one of the matrix-vector operations `y = alpha*A*x + beta*y`, `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*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 Complex64Matrix = require( '@stdlib/ndarray/matrix/complex64' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var str2enum = require( '@stdlib/blas/base/transpose-operation-str2enum' );
+
+var A = new Complex64Matrix( [ [ 1.0, 2.0, 3.0, 4.0 ], [ 5.0, 6.0, 7.0, 8.0 ] ] );
+var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+var y = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+var trans = scalar2ndarray( str2enum( 'no-transpose' ), {
+ 'dtype': 'int8'
+});
+var alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+ 'dtype': 'complex64'
+});
+var beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+ 'dtype': 'complex64'
+});
+
+var out = cgemv( [ A, x, y, trans, alpha, beta ] );
+// returns [ [ -9.0, 30.0 ], [ -15.0, 72.0 ] ]
+
+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 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 corresponding to `trans`.
+ - a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
+ - a zero-dimensional ndarray containing a scalar constant corresponding to `beta`.
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+/* eslint-disable max-len */
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex64Matrix = require( '@stdlib/ndarray/matrix/complex64' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var str2enum = require( '@stdlib/blas/base/transpose-operation-str2enum' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var cgemv = require( '@stdlib/blas/base/ndarray/cgemv' );
+
+var opts = {
+ 'dtype': 'float32'
+};
+
+var A = new Complex64Matrix( discreteUniform( 24, 0, 10, opts ).buffer, 0, [ 3, 4 ] );
+var x = new Complex64Vector( discreteUniform( 8, 0, 10, opts ) );
+var y = new Complex64Vector( discreteUniform( 6, 0, 10, opts ) );
+
+var trans = scalar2ndarray( str2enum( 'no-transpose' ), {
+ 'dtype': 'int8'
+});
+var alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+ 'dtype': 'complex64'
+});
+var beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+ 'dtype': 'complex64'
+});
+
+var out = cgemv( [ A, x, y, trans, alpha, beta ] );
+console.log( ndarray2array( out ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/benchmark/benchmark.js
new file mode 100644
index 000000000000..3bb7f2f197c3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/benchmark/benchmark.js
@@ -0,0 +1,139 @@
+/**
+* @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/array/uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var realf = require( '@stdlib/complex/float32/real' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var str2enum = require( '@stdlib/blas/base/transpose-operation-str2enum' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64Matrix = require( '@stdlib/ndarray/matrix/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var cgemv = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'complex64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var alpha;
+ var beta;
+ var trans;
+ var xbuf;
+ var ybuf;
+ var Abuf;
+ var A;
+ var x;
+ var y;
+
+ Abuf = uniform( len*len*2, -100.0, 100.0, {
+ 'dtype': 'float32'
+ });
+ A = new Complex64Matrix( Abuf.buffer, 0, [ len, len ] );
+
+ xbuf = uniform( len*2, -100.0, 100.0, {
+ 'dtype': 'float32'
+ });
+ x = new Complex64Vector( xbuf.buffer );
+
+ ybuf = uniform( len*2, -100.0, 100.0, {
+ 'dtype': 'float32'
+ });
+ y = new Complex64Vector( ybuf.buffer );
+
+ alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), options );
+ beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), options );
+ trans = scalar2ndarray( str2enum( 'no-transpose' ), {
+ 'dtype': 'int8'
+ });
+
+ 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 = cgemv( [ A, x, y, trans, alpha, beta ] );
+ if ( typeof z !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( isnanf( realf( 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/cgemv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/repl.txt
new file mode 100644
index 000000000000..88eebc30943f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/repl.txt
@@ -0,0 +1,43 @@
+
+{{alias}}( arrays )
+ Performs one of the matrix-vector operations `y = alpha*A*x + beta*y`,
+ `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*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
+ Array-like object containing the following ndarrays:
+
+ - 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 Specifies 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
+ -------
+ out: ndarray
+ Output ndarray.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/ndarray/matrix/complex64}}( [ [ 1.0, 2.0, 3.0, 4.0 ], [ 5.0, 6.0, 7.0, 8.0 ] ] );
+ > var x = new {{alias:@stdlib/ndarray/vector/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > var y = new {{alias:@stdlib/ndarray/vector/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > var ca = new {{alias:@stdlib/complex/float32/ctor}}( 1.0, 0.0 );
+ > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( ca, { 'dtype': 'complex64' });
+ > var cb = new {{alias:@stdlib/complex/float32/ctor}}( 1.0, 0.0 );
+ > var beta = {{alias:@stdlib/ndarray/from-scalar}}( cb, { 'dtype': 'complex64' });
+ > var t = {{alias:@stdlib/blas/base/transpose-operation-str2enum}}( 'no-transpose' );
+ > var trans = {{alias:@stdlib/ndarray/from-scalar}}( t, { 'dtype': 'int8' });
+
+ > {{alias}}( [ A, x, y, trans, alpha, beta ] );
+ > y
+ [ [ -9.0, 30.0 ], [ -15.0, 72.0 ] ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/types/index.d.ts
new file mode 100644
index 000000000000..77d0d2860490
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/types/index.d.ts
@@ -0,0 +1,74 @@
+/*
+* @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 { complex64ndarray, int8ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Performs one of the matrix-vector operations `y = alpha*A*x + beta*y`, `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*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 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 corresponding to `trans`.
+* - 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 Complex64Matrix = require( '@stdlib/ndarray/matrix/complex64' );
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var str2enum = require( '@stdlib/blas/base/transpose-operation-str2enum' );
+*
+* var A = new Complex64Matrix( [ [ 1.0, 2.0, 3.0, 4.0 ], [ 5.0, 6.0, 7.0, 8.0 ] ] );
+* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var y = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var trans = scalar2ndarray( str2enum( 'no-transpose' ), {
+* 'dtype': 'int8'
+* });
+* var alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+* 'dtype': 'complex64'
+* });
+* var beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+* 'dtype': 'complex64'
+* });
+*
+* var z = cgemv( [ A, x, y, trans, alpha, beta ] );
+* // returns [ [ -9.0, 30.0 ], [ -15.0, 72.0 ] ]
+*
+* var bool = ( z === y );
+* // returns true
+*/
+declare function cgemv( arrays: [ complex64ndarray, complex64ndarray, complex64ndarray, int8ndarray, complex64ndarray, complex64ndarray ] ): complex64ndarray;
+
+
+// EXPORTS //
+
+export = cgemv;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/types/test.ts
new file mode 100644
index 000000000000..1e452d275cef
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/docs/types/test.ts
@@ -0,0 +1,87 @@
+/*
+* @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 cgemv = require( '@stdlib/blas/base/ndarray/cgemv' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const A = zeros( [ 2, 3 ], {
+ 'dtype': 'complex64'
+ });
+ const x = zeros( [ 3 ], {
+ 'dtype': 'complex64'
+ });
+ const y = zeros( [ 2 ], {
+ 'dtype': 'complex64'
+ });
+ const trans = zeros( [], {
+ 'dtype': 'int8'
+ });
+ const alpha = zeros( [], {
+ 'dtype': 'complex64'
+ });
+ const beta = zeros( [], {
+ 'dtype': 'complex64'
+ });
+
+ cgemv( [ A, x, y, trans, alpha, beta ] ); // $ExpectType complex64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ cgemv( '10' ); // $ExpectError
+ cgemv( 10 ); // $ExpectError
+ cgemv( true ); // $ExpectError
+ cgemv( false ); // $ExpectError
+ cgemv( null ); // $ExpectError
+ cgemv( undefined ); // $ExpectError
+ cgemv( [] ); // $ExpectError
+ cgemv( {} ); // $ExpectError
+ cgemv( ( 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': 'complex64'
+ });
+ const x = zeros( [ 3 ], {
+ 'dtype': 'complex64'
+ });
+ const y = zeros( [ 2 ], {
+ 'dtype': 'complex64'
+ });
+ const trans = zeros( [], {
+ 'dtype': 'int8'
+ });
+ const alpha = zeros( [], {
+ 'dtype': 'complex64'
+ });
+ const beta = zeros( [], {
+ 'dtype': 'complex64'
+ });
+
+ cgemv(); // $ExpectError
+ cgemv( [ A, x, y, trans, alpha, beta ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/examples/index.js
new file mode 100644
index 000000000000..eac195228217
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/examples/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';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex64Matrix = require( '@stdlib/ndarray/matrix/complex64' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var str2enum = require( '@stdlib/blas/base/transpose-operation-str2enum' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var cgemv = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float32'
+};
+
+var A = new Complex64Matrix( discreteUniform( 24, 0, 10, opts ).buffer, 0, [ 3, 4 ] );
+var x = new Complex64Vector( discreteUniform( 8, 0, 10, opts ) );
+var y = new Complex64Vector( discreteUniform( 6, 0, 10, opts ) );
+
+var trans = scalar2ndarray( str2enum( 'no-transpose' ), {
+ 'dtype': 'int8'
+});
+var alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+ 'dtype': 'complex64'
+});
+var beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+ 'dtype': 'complex64'
+});
+
+var out = cgemv( [ A, x, y, trans, alpha, beta ] );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/lib/index.js
new file mode 100644
index 000000000000..45014283a105
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/lib/index.js
@@ -0,0 +1,62 @@
+/**
+* @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 one of the matrix-vector operations `y = alpha*A*x + beta*y`, `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*x + beta*y`.
+*
+* @module @stdlib/blas/base/ndarray/cgemv
+*
+* @example
+* var Complex64Matrix = require( '@stdlib/ndarray/matrix/complex64' );
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var str2enum = require( '@stdlib/blas/base/transpose-operation-str2enum' );
+* var cgemv = require( '@stdlib/blas/base/ndarray/cgemv' );
+*
+* var A = new Complex64Matrix( [ [ 1.0, 2.0, 3.0, 4.0 ], [ 5.0, 6.0, 7.0, 8.0 ] ] );
+* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var y = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var trans = scalar2ndarray( str2enum( 'no-transpose' ), {
+* 'dtype': 'int8'
+* });
+* var alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+* 'dtype': 'complex64'
+* });
+* var beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+* 'dtype': 'complex64'
+* });
+*
+* var out = cgemv( [ A, x, y, trans, alpha, beta ] );
+* // returns [ [ -9.0, 30.0 ], [ -15.0, 72.0 ] ]
+*
+* 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/cgemv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/lib/main.js
new file mode 100644
index 000000000000..a70295565f47
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/cgemv/lib/main.js
@@ -0,0 +1,91 @@
+/**
+* @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/cgemv' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Performs one of the matrix-vector operations `y = alpha*A*x + beta*y`, `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*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 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 corresponding to `trans`.
+* - a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
+* - a zero-dimensional ndarray containing a scalar constant corresponding to `beta`.
+*
+* @param {ArrayLikeObject