diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/README.md b/lib/node_modules/@stdlib/blas/ext/base/ghad/README.md
new file mode 100644
index 000000000000..0eb2f84abda1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/README.md
@@ -0,0 +1,210 @@
+
+
+# ghad
+
+> Multiply the Hadamard product of strided arrays `x` and `y` by a constant and add the result to a strided array `z` multiplied by a constant.
+
+
+
+This BLAS extension implements the operation
+
+
+
+```math
+\mathbf{z} = \alpha \mathbf{x} \odot \mathbf{y} + \beta \mathbf{z}
+```
+
+
+
+where `⊙` denotes the [Hadamard product][hadamard-product].
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var ghad = require( '@stdlib/blas/ext/base/ghad' );
+```
+
+#### ghad( N, alpha, x, strideX, y, strideY, beta, z, strideZ )
+
+Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant.
+
+```javascript
+var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+
+ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+// z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+```
+
+The function has the following parameters:
+
+- **N**: number of indexed elements.
+- **alpha**: first scalar constant.
+- **x**: first input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **strideX**: stride length for `x`.
+- **y**: second input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **strideY**: stride length for `y`.
+- **beta**: second scalar constant.
+- **z**: output [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **strideZ**: stride length for `z`.
+
+The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to multiply the Hadamard product of every other element in `x` and `y` by a constant and add the result to every other element in `z` multiplied by a constant:
+
+```javascript
+var x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+var y = [ 2.0, 1.0, 3.0, 1.0, 4.0, 1.0 ];
+var z = [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ];
+
+ghad( 3, 2.0, x, 2, y, 2, 3.0, z, 2 );
+// z => [ 7.0, 1.0, 21.0, 1.0, 43.0, 1.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var y0 = new Float64Array( [ 7.0, 8.0, 2.0, 3.0, 4.0, 12.0 ] );
+var z0 = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+// Create offset views...
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 ); // start at 3rd element
+var z1 = new Float64Array( z0.buffer, z0.BYTES_PER_ELEMENT*3 ); // start at 4th element
+
+ghad( 3, 2.0, x1, 1, y1, 1, 3.0, z1, 1 );
+// z0 => [ 1.0, 1.0, 1.0, 11.0, 21.0, 35.0 ]
+```
+
+
+
+#### ghad.ndarray( N, alpha, x, strideX, offsetX, y, strideY, offsetY, beta, z, strideZ, offsetZ )
+
+
+
+Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant using alternative indexing semantics.
+
+```javascript
+var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+
+ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+// z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+```
+
+The function has the following additional parameters:
+
+- **offsetX**: starting index for `x`.
+- **offsetY**: starting index for `y`.
+- **offsetZ**: starting index for `z`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to multiply the Hadamard product of the last three elements in `x` and `y` by a constant and add the result to the last three elements in `z` multiplied by a constant:
+
+```javascript
+var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+var y = [ 6.0, 7.0, 8.0, 9.0, 10.0 ];
+var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+
+ghad.ndarray( 3, 2.0, x, 1, 2, y, 1, 2, 3.0, z, 1, 2 );
+// z => [ 1.0, 1.0, 51.0, 75.0, 103.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- If `N <= 0`, both functions return `z` unchanged.
+- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ghad = require( '@stdlib/blas/ext/base/ghad' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = discreteUniform( 10, -100, 100, opts );
+var y = discreteUniform( 10, -100, 100, opts );
+var z = discreteUniform( 10, -100, 100, opts );
+
+console.log( x );
+console.log( y );
+console.log( z );
+
+ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+console.log( z );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+[hadamard-product]: https://en.wikipedia.org/wiki/Hadamard_product_(matrices)
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/benchmark/benchmark.js
new file mode 100644
index 000000000000..52e842772009
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/benchmark/benchmark.js
@@ -0,0 +1,105 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var ghad = require( './../lib/main.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Create a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -100.0, 100.0, options );
+ var y = uniform( len, -100.0, 100.0, options );
+ var z = uniform( len, -100.0, 100.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var out;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+ if ( isnan( out[ i%x.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( out[ i%x.length ] ) ) {
+ 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 = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..a437113ec302
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/benchmark/benchmark.ndarray.js
@@ -0,0 +1,105 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var ghad = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Create a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -100.0, 100.0, options );
+ var y = uniform( len, -100.0, 100.0, options );
+ var z = uniform( len, -100.0, 100.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var out;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = ghad( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ if ( isnan( out[ i%x.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( out[ i%x.length ] ) ) {
+ 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 = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:ndarray:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/repl.txt
new file mode 100644
index 000000000000..2399436bed9d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/repl.txt
@@ -0,0 +1,152 @@
+
+{{alias}}( N, alpha, x, strideX, y, strideY, beta, z, strideZ )
+ Multiplies the Hadamard product of strided arrays `x` and `y` by a constant
+ and adds the result to a strided array `z` multiplied by a constant.
+
+ The `N` and stride parameters determine which elements in the strided arrays
+ are accessed at runtime.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ If `N <= 0`, the function returns `z` unchanged.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ alpha: number
+ First scalar constant.
+
+ x: Array|TypedArray
+ First input array.
+
+ strideX: integer
+ Stride length for `x`.
+
+ y: Array|TypedArray
+ Second input array.
+
+ strideY: integer
+ Stride length for `y`.
+
+ beta: number
+ Second scalar constant.
+
+ z: Array|TypedArray
+ Output array.
+
+ strideZ: integer
+ Stride length for `z`.
+
+ Returns
+ -------
+ z: Array|TypedArray
+ Output array.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ > var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ > var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ > {{alias}}( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 )
+ [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+
+ // Using `N` and stride parameters:
+ > x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ > y = [ 2.0, 1.0, 3.0, 1.0, 4.0, 1.0 ];
+ > z = [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ > {{alias}}( 3, 2.0, x, 2, y, 2, 3.0, z, 2 )
+ [ 7.0, 1.0, 21.0, 1.0, 43.0, 1.0 ]
+
+ // Using view offsets:
+ > var bufX = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ > var bufY = [ 7.0, 8.0, 2.0, 3.0, 4.0, 12.0 ];
+ > var bufZ = [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ > var x0 = new {{alias:@stdlib/array/float64}}( bufX );
+ > var y0 = new {{alias:@stdlib/array/float64}}( bufY );
+ > var z0 = new {{alias:@stdlib/array/float64}}( bufZ );
+ > var offsetX = x0.BYTES_PER_ELEMENT * 1;
+ > var offsetY = y0.BYTES_PER_ELEMENT * 2;
+ > var offsetZ = z0.BYTES_PER_ELEMENT * 3;
+ > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, offsetX );
+ > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, offsetY );
+ > var z1 = new {{alias:@stdlib/array/float64}}( z0.buffer, offsetZ );
+ > {{alias}}( 3, 2.0, x1, 1, y1, 1, 3.0, z1, 1 )
+ [ 11.0, 21.0, 35.0 ]
+ > z0
+ [ 1.0, 1.0, 1.0, 11.0, 21.0, 35.0 ]
+
+
+{{alias}}.ndarray( N, alpha, x, sx, ox, y, sy, oy, beta, z, sz, oz )
+ Multiplies the Hadamard product of strided arrays `x` and `y` by a constant
+ and adds the result to a strided array `z` multiplied by a constant using
+ alternative indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ alpha: number
+ First scalar constant.
+
+ x: Array|TypedArray
+ First input array.
+
+ sx: integer
+ Stride length for `x`.
+
+ ox: integer
+ Starting index for `x`.
+
+ y: Array|TypedArray
+ Second input array.
+
+ sy: integer
+ Stride length for `y`.
+
+ oy: integer
+ Starting index for `y`.
+
+ beta: number
+ Second scalar constant.
+
+ z: Array|TypedArray
+ Output array.
+
+ sz: integer
+ Stride length for `z`.
+
+ oz: integer
+ Starting index for `z`.
+
+ Returns
+ -------
+ z: Array|TypedArray
+ Output array.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ > var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ > var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ > {{alias}}.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 )
+ [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+
+ // Using index offsets:
+ > x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ > y = [ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ];
+ > z = [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ > {{alias}}.ndarray( 3, 2.0, x, 1, 3, y, 1, 3, 3.0, z, 1, 3 )
+ [ 1.0, 1.0, 1.0, 19.0, 23.0, 27.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/types/index.d.ts
new file mode 100644
index 000000000000..97f0df98016a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/types/index.d.ts
@@ -0,0 +1,121 @@
+/*
+* @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 { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection | AccessorArrayLike;
+
+/**
+* Interface describing `ghad`.
+*/
+interface Routine {
+ /**
+ * Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant.
+ *
+ * @param N - number of indexed elements
+ * @param alpha - first scalar constant
+ * @param x - first input array
+ * @param strideX - `x` stride length
+ * @param y - second input array
+ * @param strideY - `y` stride length
+ * @param beta - second scalar constant
+ * @param z - output array
+ * @param strideZ - `z` stride length
+ * @returns `z`
+ *
+ * @example
+ * var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ * var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ * var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ *
+ * ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+ * // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+ */
+ ( N: number, alpha: number, x: InputArray, strideX: number, y: InputArray, strideY: number, beta: number, z: T, strideZ: number ): T;
+
+ /**
+ * Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant using alternative indexing semantics.
+ *
+ * @param N - number of indexed elements
+ * @param alpha - first scalar constant
+ * @param x - first input array
+ * @param strideX - `x` stride length
+ * @param offsetX - starting index for `x`
+ * @param y - second input array
+ * @param strideY - `y` stride length
+ * @param offsetY - starting index for `y`
+ * @param beta - second scalar constant
+ * @param z - output array
+ * @param strideZ - `z` stride length
+ * @param offsetZ - starting index for `z`
+ * @returns `z`
+ *
+ * @example
+ * var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ * var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ * var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ *
+ * ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ * // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+ */
+ ndarray( N: number, alpha: number, x: InputArray, strideX: number, offsetX: number, y: InputArray, strideY: number, offsetY: number, beta: number, z: T, strideZ: number, offsetZ: number ): T;
+}
+
+/**
+* Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant.
+*
+* @param N - number of indexed elements
+* @param alpha - first scalar constant
+* @param x - first input array
+* @param strideX - `x` stride length
+* @param y - second input array
+* @param strideY - `y` stride length
+* @param beta - second scalar constant
+* @param z - output array
+* @param strideZ - `z` stride length
+* @returns `z`
+*
+* @example
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*
+* @example
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*/
+declare var ghad: Routine;
+
+
+// EXPORTS //
+
+export = ghad;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/types/test.ts
new file mode 100644
index 000000000000..0e9c8da341b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/docs/types/test.ts
@@ -0,0 +1,418 @@
+/*
+* @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.
+*/
+
+import AccessorArray = require( '@stdlib/array/base/accessor' );
+import ghad = require( './index' );
+
+
+// TESTS //
+
+// The function returns a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectType Float64Array
+ ghad( x.length, 2.0, new AccessorArray( x ), 1, new AccessorArray( y ), 1, 3.0, new AccessorArray( z ), 1 ); // $ExpectType AccessorArray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( '10', 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( true, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( false, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( null, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( undefined, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( [], 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( {}, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( ( x: number ): number => x, 2.0, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( x.length, '10', x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, true, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, false, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, null, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, undefined, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, [], x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, {}, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, ( x: number ): number => x, x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a numeric array...
+{
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( 10, 2.0, 10, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, '10', 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, true, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, false, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, null, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, undefined, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, [ '1' ], 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, {}, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, ( x: number ): number => x, 1, y, 1, 3.0, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( x.length, 2.0, x, '10', y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, true, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, false, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, null, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, undefined, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, [], y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, {}, y, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, ( x: number ): number => x, y, 1, 3.0, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( 10, 2.0, x, 1, 10, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, '10', 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, true, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, false, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, null, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, undefined, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, [ '1' ], 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, {}, 1, 3.0, z, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, ( x: number ): number => x, 1, 3.0, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( x.length, 2.0, x, 1, y, '10', 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, true, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, false, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, null, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, undefined, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, [], 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, {}, 3.0, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, ( x: number ): number => x, 3.0, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( x.length, 2.0, x, 1, y, 1, '10', z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, true, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, false, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, null, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, undefined, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, [], z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, {}, z, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, ( x: number ): number => x, z, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, 10, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, '10', 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, true, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, false, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, null, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, undefined, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, [ '1' ], 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, {}, 1 ); // $ExpectError
+ ghad( 10, 2.0, x, 1, y, 1, 3.0, ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, '10' ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, true ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, false ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, null ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, undefined ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, [] ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, {} ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad(); // $ExpectError
+ ghad( x.length ); // $ExpectError
+ ghad( x.length, 2.0 ); // $ExpectError
+ ghad( x.length, 2.0, x ); // $ExpectError
+ ghad( x.length, 2.0, x, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0 ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z ); // $ExpectError
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1, 10 ); // $ExpectError
+}
+
+// Attached to the main export is an `ndarray` method which returns a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectType Float64Array
+ ghad.ndarray( x.length, 2.0, new AccessorArray( x ), 1, 0, new AccessorArray( y ), 1, 0, 3.0, new AccessorArray( z ), 1, 0 ); // $ExpectType AccessorArray
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( '10', 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( true, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( false, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( null, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( undefined, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( [], 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( {}, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( ( x: number ): number => x, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, '10', x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, true, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, false, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, null, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, undefined, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, [], x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, {}, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, ( x: number ): number => x, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a numeric array...
+{
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( 10, 2.0, 10, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, '10', 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, true, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, false, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, null, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, undefined, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, [ '1' ], 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, {}, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, ( x: number ): number => x, 1, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, '10', 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, true, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, false, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, null, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, undefined, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, [], 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, {}, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, ( x: number ): number => x, 0, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, '10', y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, true, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, false, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, null, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, undefined, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, [], y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, {}, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, ( x: number ): number => x, y, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( 10, 2.0, x, 1, 0, 10, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, '10', 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, true, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, false, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, null, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, undefined, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, [ '1' ], 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, {}, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, ( x: number ): number => x, 1, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, '10', 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, true, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, false, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, null, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, undefined, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, [], 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, {}, 0, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, ( x: number ): number => x, 0, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, '10', 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, true, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, false, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, null, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, undefined, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, [], 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, {}, 3.0, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, ( x: number ): number => x, 3.0, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a ninth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, '10', z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, true, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, false, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, null, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, undefined, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, [], z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, {}, z, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, ( x: number ): number => x, z, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a tenth argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, 10, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, '10', 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, true, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, false, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, null, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, undefined, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, [ '1' ], 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, {}, 1, 0 ); // $ExpectError
+ ghad.ndarray( 10, 2.0, x, 1, 0, y, 1, 0, 3.0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eleventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, '10', 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, true, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, false, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, null, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, undefined, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, [], 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, {}, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a twelfth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, '10' ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, true ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, false ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, null ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, undefined ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, [] ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, {} ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const z = new Float64Array( 10 );
+
+ ghad.ndarray(); // $ExpectError
+ ghad.ndarray( x.length ); // $ExpectError
+ ghad.ndarray( x.length, 2.0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1 ); // $ExpectError
+ ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/examples/index.js
new file mode 100644
index 000000000000..6b512b856fda
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @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 ghad = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = discreteUniform( 10, -100, 100, opts );
+var y = discreteUniform( 10, -100, 100, opts );
+var z = discreteUniform( 10, -100, 100, opts );
+
+console.log( x );
+console.log( y );
+console.log( z );
+
+ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+console.log( z );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/accessors.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/accessors.js
new file mode 100644
index 000000000000..1aedfda471c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/accessors.js
@@ -0,0 +1,97 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant.
+*
+* @private
+* @param {PositiveInteger} N - number of indexed elements
+* @param {number} alpha - first scalar constant
+* @param {Object} x - first input array object
+* @param {Collection} x.data - first input array data
+* @param {Array} x.accessors - array element accessors
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - starting `x` index
+* @param {Object} y - second input array object
+* @param {Collection} y.data - second input array data
+* @param {Array} y.accessors - array element accessors
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - starting `y` index
+* @param {number} beta - second scalar constant
+* @param {Object} z - output array object
+* @param {Collection} z.data - output array data
+* @param {Array} z.accessors - array element accessors
+* @param {integer} strideZ - `z` stride length
+* @param {NonNegativeInteger} offsetZ - starting `z` index
+* @returns {Object} output array object
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+*
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad( x.length, 2.0, arraylike2object( toAccessorArray( x ) ), 1, 0, arraylike2object( toAccessorArray( y ) ), 1, 0, 3.0, arraylike2object( toAccessorArray( z ) ), 1, 0 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*/
+function ghad( N, alpha, x, strideX, offsetX, y, strideY, offsetY, beta, z, strideZ, offsetZ ) { // eslint-disable-line max-len, max-params
+ var xbuf;
+ var ybuf;
+ var zbuf;
+ var xget;
+ var yget;
+ var zget;
+ var zset;
+ var ix;
+ var iy;
+ var iz;
+ var i;
+
+ // Cache references to array data:
+ xbuf = x.data;
+ ybuf = y.data;
+ zbuf = z.data;
+
+ // Cache references to element accessors:
+ xget = x.accessors[ 0 ];
+ yget = y.accessors[ 0 ];
+ zget = z.accessors[ 0 ];
+ zset = z.accessors[ 1 ];
+
+ ix = offsetX;
+ iy = offsetY;
+ iz = offsetZ;
+ for ( i = 0; i < N; i++ ) {
+ zset( zbuf, iz, ( alpha * xget( xbuf, ix ) * yget( ybuf, iy ) ) + ( beta * zget( zbuf, iz ) ) ); // eslint-disable-line max-len
+ ix += strideX;
+ iy += strideY;
+ iz += strideZ;
+ }
+ return z;
+}
+
+
+// EXPORTS //
+
+module.exports = ghad;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/index.js
new file mode 100644
index 000000000000..67cdf3c6b592
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/index.js
@@ -0,0 +1,61 @@
+/**
+* @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';
+
+/**
+* Multiply the Hadamard product of strided arrays `x` and `y` by a constant and add the result to a strided array `z` multiplied by a constant.
+*
+* @module @stdlib/blas/ext/base/ghad
+*
+* @example
+* var ghad = require( '@stdlib/blas/ext/base/ghad' );
+*
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*
+* @example
+* var ghad = require( '@stdlib/blas/ext/base/ghad' );
+*
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad.ndarray( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/main.js
new file mode 100644
index 000000000000..0992986c69e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/main.js
@@ -0,0 +1,58 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+/**
+* Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {number} alpha - first scalar constant
+* @param {NumericArray} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {NumericArray} y - second input array
+* @param {integer} strideY - `y` stride length
+* @param {number} beta - second scalar constant
+* @param {NumericArray} z - output array
+* @param {integer} strideZ - `z` stride length
+* @returns {NumericArray} output array
+*
+* @example
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*/
+function ghad( N, alpha, x, strideX, y, strideY, beta, z, strideZ ) {
+ return ndarray( N, alpha, x, strideX, stride2offset( N, strideX ), y, strideY, stride2offset( N, strideY ), beta, z, strideZ, stride2offset( N, strideZ ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = ghad;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/ndarray.js
new file mode 100644
index 000000000000..85b0b8c9b65f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/lib/ndarray.js
@@ -0,0 +1,128 @@
+/**
+* @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 arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var gscal = require( '@stdlib/blas/base/gscal' ).ndarray;
+var accessors = require( './accessors.js' );
+
+
+// VARIABLES //
+
+var M = 5;
+
+
+// MAIN //
+
+/**
+* Multiplies the Hadamard product of strided arrays `x` and `y` by a constant and adds the result to a strided array `z` multiplied by a constant using alternative indexing semantics.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {number} alpha - first scalar constant
+* @param {NumericArray} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - starting `x` index
+* @param {NumericArray} y - second input array
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - starting `y` index
+* @param {number} beta - second scalar constant
+* @param {NumericArray} z - output array
+* @param {integer} strideZ - `z` stride length
+* @param {NonNegativeInteger} offsetZ - starting `z` index
+* @returns {NumericArray} output array
+*
+* @example
+* var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+* var y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+*
+* ghad( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+* // z => [ 7.0, 15.0, 27.0, 43.0, 63.0 ]
+*/
+function ghad( N, alpha, x, strideX, offsetX, y, strideY, offsetY, beta, z, strideZ, offsetZ ) { // eslint-disable-line max-len, max-params
+ var ix;
+ var iy;
+ var iz;
+ var ox;
+ var oy;
+ var oz;
+ var m;
+ var i;
+
+ if ( N <= 0 ) {
+ return z;
+ }
+ // Fast path: when alpha = 0.0, delegate to gscal (z = beta * z)
+ if ( alpha === 0.0 ) {
+ return gscal( N, beta, z, strideZ, offsetZ );
+ }
+ ox = arraylike2object( x );
+ oy = arraylike2object( y );
+ oz = arraylike2object( z );
+ if ( ox.accessorProtocol || oy.accessorProtocol || oz.accessorProtocol ) {
+ accessors( N, alpha, ox, strideX, offsetX, oy, strideY, offsetY, beta, oz, strideZ, offsetZ ); // eslint-disable-line max-len
+ return z;
+ }
+ ix = offsetX;
+ iy = offsetY;
+ iz = offsetZ;
+
+ // Use loop unrolling if all strides are equal to `1`...
+ if ( strideX === 1 && strideY === 1 && strideZ === 1 ) {
+ m = N % M;
+
+ // If we have a remainder, run a clean-up loop...
+ if ( m > 0 ) {
+ for ( i = 0; i < m; i++ ) {
+ z[ iz ] = ( alpha * x[ ix ] * y[ iy ] ) + ( beta * z[ iz ] );
+ ix += strideX;
+ iy += strideY;
+ iz += strideZ;
+ }
+ }
+ if ( N < M ) {
+ return z;
+ }
+ for ( i = m; i < N; i += M ) {
+ z[ iz ] = ( alpha * x[ ix ] * y[ iy ] ) + ( beta * z[ iz ] );
+ z[ iz+1 ] = ( alpha * x[ ix+1 ] * y[ iy+1 ] ) + ( beta * z[ iz+1 ] );
+ z[ iz+2 ] = ( alpha * x[ ix+2 ] * y[ iy+2 ] ) + ( beta * z[ iz+2 ] );
+ z[ iz+3 ] = ( alpha * x[ ix+3 ] * y[ iy+3 ] ) + ( beta * z[ iz+3 ] );
+ z[ iz+4 ] = ( alpha * x[ ix+4 ] * y[ iy+4 ] ) + ( beta * z[ iz+4 ] );
+ ix += M;
+ iy += M;
+ iz += M;
+ }
+ return z;
+ }
+ for ( i = 0; i < N; i++ ) {
+ z[ iz ] = ( alpha * x[ ix ] * y[ iy ] ) + ( beta * z[ iz ] );
+ ix += strideX;
+ iy += strideY;
+ iz += strideZ;
+ }
+ return z;
+}
+
+
+// EXPORTS //
+
+module.exports = ghad;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/package.json b/lib/node_modules/@stdlib/blas/ext/base/ghad/package.json
new file mode 100644
index 000000000000..0dd5df79f85a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/package.json
@@ -0,0 +1,73 @@
+{
+ "name": "@stdlib/blas/ext/base/ghad",
+ "version": "0.0.0",
+ "description": "Multiply the Hadamard product of strided arrays `x` and `y` by a constant and add the result to a strided array `z` multiplied by a constant.",
+ "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",
+ "extended",
+ "linear",
+ "algebra",
+ "subroutines",
+ "hadamard",
+ "product",
+ "multiply",
+ "multiplication",
+ "strided",
+ "array",
+ "ndarray",
+ "vector",
+ "had",
+ "ghad"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.js
new file mode 100644
index 000000000000..168938df916a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @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 ghad = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof ghad, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof ghad.ndarray, 'function', 'method is a function' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.main.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.main.js
new file mode 100644
index 000000000000..71b57e1106e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.main.js
@@ -0,0 +1,472 @@
+/**
+* @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 max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var ghad = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof ghad, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 9', function test( t ) {
+ t.strictEqual( ghad.length, 9, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function multiplies the Hadamard product of `x` and `y` by a constant and adds the result to `z` multiplied by a constant', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0, // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ 43.0, // ( 2.0 * 4.0 * 5.0 ) + ( 3.0 * 1.0 )
+ 63.0 // ( 2.0 * 5.0 * 6.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ x = [ 3.0, 4.0 ];
+ y = [ 1.0, 2.0 ];
+ z = [ 2.0, 3.0 ];
+ expected = [ 12.0, 25.0 ];
+
+ ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function multiplies the Hadamard product of `x` and `y` by a constant and adds the result to `z` multiplied by a constant (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0, // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ 43.0, // ( 2.0 * 4.0 * 5.0 ) + ( 3.0 * 1.0 )
+ 63.0 // ( 2.0 * 5.0 * 6.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( x.length, 2.0, toAccessorArray( x ), 1, toAccessorArray( y ), 1, 3.0, toAccessorArray( z ), 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ x = [ 3.0, 4.0 ];
+ y = [ 1.0, 2.0 ];
+ z = [ 2.0, 3.0 ];
+ expected = [ 12.0, 25.0 ];
+
+ ghad( x.length, 2.0, toAccessorArray( x ), 1, toAccessorArray( y ), 1, 3.0, toAccessorArray( z ), 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the output array', function test( t ) {
+ var out;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ y = [ 5.0, 6.0, 7.0, 8.0, 9.0 ];
+ z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ out = ghad( x.length, 2.0, x, 1, y, 1, 3.0, z, 1 );
+
+ t.strictEqual( out, z, 'same reference' );
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `z` unchanged', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 4.0, 5.0, 6.0 ];
+ z = [ 7.0, 8.0, 9.0 ];
+ expected = [ 7.0, 8.0, 9.0 ];
+
+ ghad( 0, 2.0, x, 1, y, 1, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ ghad( -4, 2.0, x, 1, y, 1, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `alpha` equals `0.0`, the function scales `z` by `beta`', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 4.0, 5.0, 6.0 ];
+ z = [ 1.0, 2.0, 3.0 ];
+ expected = [
+ 3.0, // 3.0 * 1.0
+ 6.0, // 3.0 * 2.0
+ 9.0 // 3.0 * 3.0
+ ];
+
+ ghad( x.length, 0.0, x, 1, y, 1, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an `x` stride', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 1.0, // 0
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 2
+ ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 2, y, 1, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports an `x` stride (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 1.0, // 0
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 2
+ ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, toAccessorArray( x ), 2, toAccessorArray( y ), 1, 3.0, toAccessorArray( z ), 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `y` stride', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [
+ 2.0, // 0
+ 9.0,
+ 3.0, // 1
+ 8.0,
+ 4.0 // 2
+ ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 1, y, 2, 3.0, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `y` stride (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [
+ 2.0, // 0
+ 9.0,
+ 3.0, // 1
+ 8.0,
+ 4.0 // 2
+ ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, toAccessorArray( x ), 1, toAccessorArray( y ), 2, 3.0, toAccessorArray( z ), 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `z` stride', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [
+ 1.0, // 0
+ 5.0,
+ 1.0, // 1
+ 6.0,
+ 1.0 // 2
+ ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 5.0,
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 6.0,
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 1, y, 1, 3.0, z, 2 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `z` stride (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [
+ 1.0, // 0
+ 5.0,
+ 1.0, // 1
+ 6.0,
+ 1.0 // 2
+ ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 5.0,
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 6.0,
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, toAccessorArray( x ), 1, toAccessorArray( y ), 1, 3.0, toAccessorArray( z ), 2 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 2
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 0
+ ]);
+ y = new Float64Array([
+ 2.0, // 2
+ 3.0, // 1
+ 4.0 // 0
+ ]);
+ z = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ expected = new Float64Array([
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ]);
+
+ ghad( 3, 2.0, x, -2, y, -1, 3.0, z, -1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 1.0, // 2
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 0
+ ];
+ y = [
+ 2.0, // 2
+ 3.0, // 1
+ 4.0 // 0
+ ];
+ z = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ expected = new Float64Array([
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ]);
+
+ ghad( 3, 2.0, toAccessorArray( x ), -2, toAccessorArray( y ), -1, 3.0, toAccessorArray( z ), -1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+ var expected;
+ var x0;
+ var y0;
+ var z0;
+ var x1;
+ var y1;
+ var z1;
+
+ x0 = new Float64Array([
+ 1.0,
+ 2.0, // 0
+ 3.0, // 1
+ 4.0, // 2
+ 5.0,
+ 6.0
+ ]);
+ y0 = new Float64Array([
+ 7.0,
+ 8.0,
+ 2.0, // 0
+ 3.0, // 1
+ 4.0, // 2
+ 12.0
+ ]);
+ z0 = new Float64Array([
+ 1.0,
+ 1.0,
+ 1.0,
+ 1.0, // 0
+ 1.0, // 1
+ 1.0 // 2
+ ]);
+
+ x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 );
+ z1 = new Float64Array( z0.buffer, z0.BYTES_PER_ELEMENT*3 );
+
+ expected = new Float64Array([
+ 1.0,
+ 1.0,
+ 1.0,
+ 11.0, // ( 2.0 * 2.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 35.0 // ( 2.0 * 4.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ]);
+
+ ghad( 3, 2.0, x1, 1, y1, 1, 3.0, z1, 1 );
+ t.deepEqual( z0, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if all strides are equal to `1`, the function efficiently multiplies the Hadamard product of `x` and `y` by a constant and adds the result to `z` multiplied by a constant', function test( t ) {
+ var expected;
+ var alpha;
+ var beta;
+ var x;
+ var y;
+ var z;
+ var i;
+
+ alpha = 2.0;
+ beta = 3.0;
+ x = new Float64Array( 100 );
+ y = new Float64Array( 100 );
+ z = new Float64Array( 100 );
+ expected = new Float64Array( x.length );
+ for ( i = 0; i < x.length; i++ ) {
+ x[ i ] = i;
+ y[ i ] = x.length - i;
+ z[ i ] = 1.0;
+ expected[ i ] = ( alpha * x[ i ] * y[ i ] ) + ( beta * z[ i ] );
+ }
+ ghad( x.length, alpha, x, 1, y, 1, beta, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ x = new Float64Array( 240 );
+ y = new Float64Array( 240 );
+ z = new Float64Array( 240 );
+ expected = new Float64Array( x.length );
+ for ( i = 0; i < x.length; i++ ) {
+ x[ i ] = i;
+ y[ i ] = x.length - i;
+ z[ i ] = 1.0;
+ expected[ i ] = ( alpha * x[ i ] * y[ i ] ) + ( beta * z[ i ] );
+ }
+ ghad( x.length, alpha, x, 1, y, 1, beta, z, 1 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.ndarray.js
new file mode 100644
index 000000000000..59f880ab0f5b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ghad/test/test.ndarray.js
@@ -0,0 +1,544 @@
+/**
+* @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 max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var ghad = require( './../lib/ndarray.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof ghad, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 12', function test( t ) {
+ t.strictEqual( ghad.length, 12, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function multiplies the Hadamard product of `x` and `y` by a constant and adds the result to `z` multiplied by a constant', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0, // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ 43.0, // ( 2.0 * 4.0 * 5.0 ) + ( 3.0 * 1.0 )
+ 63.0 // ( 2.0 * 5.0 * 6.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ x = [ 3.0, 4.0 ];
+ y = [ 1.0, 2.0 ];
+ z = [ 2.0, 3.0 ];
+ expected = [ 12.0, 25.0 ];
+
+ ghad( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function multiplies the Hadamard product of `x` and `y` by a constant and adds the result to `z` multiplied by a constant (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ y = [ 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0, // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ 43.0, // ( 2.0 * 4.0 * 5.0 ) + ( 3.0 * 1.0 )
+ 63.0 // ( 2.0 * 5.0 * 6.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( x.length, 2.0, toAccessorArray( x ), 1, 0, toAccessorArray( y ), 1, 0, 3.0, toAccessorArray( z ), 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ x = [ 3.0, 4.0 ];
+ y = [ 1.0, 2.0 ];
+ z = [ 2.0, 3.0 ];
+ expected = [ 12.0, 25.0 ];
+
+ ghad( x.length, 2.0, toAccessorArray( x ), 1, 0, toAccessorArray( y ), 1, 0, 3.0, toAccessorArray( z ), 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the output array', function test( t ) {
+ var out;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+ y = [ 5.0, 6.0, 7.0, 8.0, 9.0 ];
+ z = [ 1.0, 1.0, 1.0, 1.0, 1.0 ];
+ out = ghad( x.length, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+
+ t.strictEqual( out, z, 'same reference' );
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `z` unchanged', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 4.0, 5.0, 6.0 ];
+ z = [ 7.0, 8.0, 9.0 ];
+ expected = [ 7.0, 8.0, 9.0 ];
+
+ ghad( 0, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ ghad( -4, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `alpha` equals `0.0`, the function scales `z` by `beta`', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 4.0, 5.0, 6.0 ];
+ z = [ 1.0, 2.0, 3.0 ];
+ expected = [
+ 3.0, // 3.0 * 1.0
+ 6.0, // 3.0 * 2.0
+ 9.0 // 3.0 * 3.0
+ ];
+
+ ghad( x.length, 0.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an `x` stride', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 1.0, // 0
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 2
+ ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 2, 0, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports an `x` stride (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 1.0, // 0
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 2
+ ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, toAccessorArray( x ), 2, 0, toAccessorArray( y ), 1, 0, 3.0, toAccessorArray( z ), 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `y` stride', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [
+ 2.0, // 0
+ 9.0,
+ 3.0, // 1
+ 8.0,
+ 4.0 // 2
+ ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 1, 0, y, 2, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `y` stride (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [
+ 2.0, // 0
+ 9.0,
+ 3.0, // 1
+ 8.0,
+ 4.0 // 2
+ ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, toAccessorArray( x ), 1, 0, toAccessorArray( y ), 2, 0, 3.0, toAccessorArray( z ), 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `z` stride', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [
+ 1.0, // 0
+ 5.0,
+ 1.0, // 1
+ 6.0,
+ 1.0 // 2
+ ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 5.0,
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 6.0,
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 2, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `z` stride (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [
+ 1.0, // 0
+ 5.0,
+ 1.0, // 1
+ 6.0,
+ 1.0 // 2
+ ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 5.0,
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 6.0,
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, toAccessorArray( x ), 1, 0, toAccessorArray( y ), 1, 0, 3.0, toAccessorArray( z ), 2, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 2
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 0
+ ]);
+ y = new Float64Array([
+ 2.0, // 2
+ 3.0, // 1
+ 4.0 // 0
+ ]);
+ z = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ expected = new Float64Array([
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ]);
+
+ ghad( 3, 2.0, x, -2, 4, y, -1, 2, 3.0, z, -1, 2 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides (accessors)', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 1.0, // 2
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 0
+ ];
+ y = [
+ 2.0, // 2
+ 3.0, // 1
+ 4.0 // 0
+ ];
+ z = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ expected = new Float64Array([
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ]);
+
+ ghad( 3, 2.0, toAccessorArray( x ), -2, 4, toAccessorArray( y ), -1, 2, 3.0, toAccessorArray( z ), -1, 2 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports an `x` offset', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 0.0,
+ 1.0, // 0
+ 2.0,
+ 3.0, // 1
+ 4.0,
+ 5.0 // 2
+ ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 21.0, // ( 2.0 * 3.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 43.0 // ( 2.0 * 5.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 2, 1, y, 1, 0, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `y` offset', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [
+ 0.0,
+ 2.0, // 0
+ 3.0, // 1
+ 4.0 // 2
+ ];
+ z = [ 1.0, 1.0, 1.0 ];
+ expected = [
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 1, 0, y, 1, 1, 3.0, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `z` offset', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [ 1.0, 2.0, 3.0 ];
+ y = [ 2.0, 3.0, 4.0 ];
+ z = [
+ 1.0,
+ 1.0,
+ 1.0, // 0
+ 1.0, // 1
+ 1.0 // 2
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 1, 0, y, 1, 0, 3.0, z, 1, 2 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports complex access patterns', function test( t ) {
+ var expected;
+ var x;
+ var y;
+ var z;
+
+ x = [
+ 0.0,
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0,
+ 3.0 // 2
+ ];
+ y = [
+ 0.0,
+ 0.0,
+ 2.0, // 0
+ 3.0, // 1
+ 4.0, // 2
+ 0.0
+ ];
+ z = [
+ 1.0,
+ 1.0,
+ 1.0,
+ 1.0, // 0
+ 1.0, // 1
+ 1.0 // 2
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 1.0,
+ 7.0, // ( 2.0 * 1.0 * 2.0 ) + ( 3.0 * 1.0 )
+ 15.0, // ( 2.0 * 2.0 * 3.0 ) + ( 3.0 * 1.0 )
+ 27.0 // ( 2.0 * 3.0 * 4.0 ) + ( 3.0 * 1.0 )
+ ];
+
+ ghad( 3, 2.0, x, 2, 1, y, 1, 2, 3.0, z, 1, 3 );
+ t.deepEqual( z, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if all strides are equal to `1`, the function efficiently multiplies the Hadamard product of `x` and `y` by a constant and adds the result to `z` multiplied by a constant', function test( t ) {
+ var expected;
+ var alpha;
+ var beta;
+ var x;
+ var y;
+ var z;
+ var i;
+
+ alpha = 2.0;
+ beta = 3.0;
+ x = new Float64Array( 100 );
+ y = new Float64Array( 100 );
+ z = new Float64Array( 100 );
+ expected = new Float64Array( x.length );
+ for ( i = 0; i < x.length; i++ ) {
+ x[ i ] = i;
+ y[ i ] = x.length - i;
+ z[ i ] = 1.0;
+ expected[ i ] = ( alpha * x[ i ] * y[ i ] ) + ( beta * z[ i ] );
+ }
+ ghad( x.length, alpha, x, 1, 0, y, 1, 0, beta, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ x = new Float64Array( 240 );
+ y = new Float64Array( 240 );
+ z = new Float64Array( 240 );
+ expected = new Float64Array( x.length );
+ for ( i = 0; i < x.length; i++ ) {
+ x[ i ] = i;
+ y[ i ] = x.length - i;
+ z[ i ] = 1.0;
+ expected[ i ] = ( alpha * x[ i ] * y[ i ] ) + ( beta * z[ i ] );
+ }
+ ghad( x.length, alpha, x, 1, 0, y, 1, 0, beta, z, 1, 0 );
+ t.deepEqual( z, expected, 'returns expected value' );
+
+ t.end();
+});