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348 changes: 348 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/dcartesian-product/README.md
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<!--

@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.

-->

# dcartesianProduct

> Compute the Cartesian product for two double-precision floating-point strided arrays.

<section class="usage">

## Usage

```javascript
var dcartesianProduct = require( '@stdlib/blas/ext/base/dcartesian-product' );
```

#### dcartesianProduct( M, N, x, strideX, y, strideY, out, LDO )

Computes the Cartesian product for two double-precision floating-point strided arrays.

```javascript
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 1.0, 2.0 ] );
var y = new Float64Array( [ 3.0, 4.0 ] );
var out = new Float64Array( 8 );

// Compute the Cartesian product:
dcartesianProduct( x.length, y.length, x, 1, y, 1, out, 2 );
// out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ]
```

The function has the following parameters:

- **M**: number of indexed elements of `x`.
- **N**: number of indexed elements of `y`.
- **x**: input [`Float64Array`][@stdlib/array/float64].
- **strideX**: stride length for `x`.
- **y**: input [`Float64Array`][@stdlib/array/float64].
- **strideY**: stride length for `y`.
- **out**: output [`Float64Array`][@stdlib/array/float64].
- **LDO**: stride length for the leading dimension of `out`.

The `M`, `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the Cartesian square of every other element:

```javascript
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 1.0, 0.0, 2.0, 0.0 ] );
var y = new Float64Array( [ 3.0, 0.0, 4.0, 0.0 ] );
var out = new Float64Array( 8 );

// Compute the Cartesian product:
dcartesianProduct( 2, 2, x, 2, y, 2, out, 2 );
// out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ]
```

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 array...
var x0 = new Float64Array( [ 0.0, 1.0, 2.0 ] );
var y0 = new Float64Array( [ 0.0, 3.0, 4.0 ] );

// Create an offset view...
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*1 ); // start at 2nd element

var out = new Float64Array( 8 );

// Compute the Cartesian product:
dcartesianProduct( 2, 2, x1, 1, y1, 1, out, 2 );
// out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ]
```

<!--lint disable maximum-heading-length-->

#### dcartesianProduct.ndarray( M, N, x, strideX, offsetX, y, strideY, offsetY, out, strideOut1, strideOut2, offsetOut )

<!--lint enable maximum-heading-length-->

Computes the Cartesian product for two double-precision floating-point strided arrays using alternative indexing semantics.

```javascript
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 1.0, 2.0 ] );
var y = new Float64Array( [ 3.0, 4.0 ] );
var out = new Float64Array( 8 );

// Compute the Cartesian product:
dcartesianProduct.ndarray( x.length, y.length, x, 1, 0, y, 1, 0, out, 2, 1, 0 );
// out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ]
```

The function has the following additional parameters:

- **offsetX**: starting index for `x`.
- **offsetY**: starting index for `y`.
- **strideOut1**: stride length for the first dimension of `out`.
- **strideOut2**: stride length for the second dimension of `out`.
- **offsetOut**: starting index for `out`.

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 access only the last two elements:

```javascript
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 0.0, 0.0, 1.0, 2.0 ] );
var y = new Float64Array( [ 0.0, 0.0, 3.0, 4.0 ] );
var out = new Float64Array( 8 );

// Compute the Cartesian product:
dcartesianProduct.ndarray( 2, 2, x, 1, 2, y, 1, 2, out, 2, 1, 0 );
// out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- For an input array `x` of length `M` and an input array `y` of length `N`, the output array `out` must contain at least `M*N*2` elements.
- If `N <= 0` or `M <= 0`, both functions return `out` unchanged.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var Float64Array = require( '@stdlib/array/float64' );
var dcartesianProduct = require( '@stdlib/blas/ext/base/dcartesian-product' );

var M = 3;
var N = 4;
var x = discreteUniform( M, 1, 10, {
'dtype': 'float64'
});
console.log( x );

var y = discreteUniform( N, 1, 10, {
'dtype': 'float64'
});
console.log( y );

var out = new Float64Array( M * N * 2 );

// Compute the Cartesian product:
dcartesianProduct( M, N, x, 1, y, 1, out, 2 );
console.log( out );
```

</section>

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- C usage documentation. -->

<section class="usage">

### Usage

```c
#include "stdlib/blas/ext/base/dcartesianproduct.h"
```

#### stdlib_strided_dcartesian_product( M, N, \*X, strideX, \*Y, strideY, \*Out, LDO )

Computes the Cartesian product for two double-precision floating-point strided arrays.

```c
const double x[] = { 1.0, 2.0 };
const double y[] = { 3.0, 4.0 };
double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };

stdlib_strided_dcartesian_product( 2, 2, x, 1, y, 1, out, 2 );
```

The function accepts the following arguments:

- **M**: `[in] CBLAS_INT` number of indexed elements of `X`.
- **N**: `[in] CBLAS_INT` number of indexed elements of `Y`.
- **X**: `[in] double*` input array.
- **strideX**: `[in] CBLAS_INT` stride length for `X`.
- **Y**: `[in] double*` input array.
- **strideY**: `[in] CBLAS_INT` stride length for `Y`.
- **Out**: `[out] double*` output array.
- **LDO**: `[in] CBLAS_INT` stride of the leading dimension of `Out`.

```c
void stdlib_strided_dcartesian_product( const CBLAS_INT M, const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY, double *Out, const CBLAS_INT LDO );
```

<!--lint disable maximum-heading-length-->

#### stdlib_strided_dcartesian_product_ndarray( M, N, \*X, strideX, offsetX, \*Y, strideY, offsetY, \*Out, strideOut1, strideOut2, offsetOut )

<!--lint enable maximum-heading-length-->

Computes the Cartesian product for two double-precision floating-point strided arrays using alternative indexing semantics.

```c
const double x[] = { 1.0, 2.0 };
const double y[] = { 3.0, 4.0 };
double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };

stdlib_strided_dcartesian_product_ndarray( 2, 2, x, 1, 0, y, 1, 0, out, 2, 1, 0 );
```

The function accepts the following arguments:

- **M**: `[in] CBLAS_INT` number of indexed elements of `X`.
- **N**: `[in] CBLAS_INT` number of indexed elements of `Y`.
- **X**: `[in] double*` input array.
- **strideX**: `[in] CBLAS_INT` stride length for `X`.
- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
- **Y**: `[in] double*` input array.
- **strideY**: `[in] CBLAS_INT` stride length for `Y`.
- **offsetY**: `[in] CBLAS_INT` starting index for `Y`.
- **Out**: `[out] double*` output array.
- **strideOut1**: `[in] CBLAS_INT` stride length of the first dimension of `Out`.
- **strideOut2**: `[in] CBLAS_INT` stride length of the second dimension of `Out`.
- **offsetOut**: `[in] CBLAS_INT` starting index for `Out`.

```c
void stdlib_strided_dcartesian_product_ndarray( const CBLAS_INT M, const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY, double *Out, const CBLAS_INT strideOut1, const CBLAS_INT strideOut2, const CBLAS_INT offsetOut );
```

</section>

<!-- /.usage -->

<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- C API usage examples. -->

<section class="examples">

### Examples

```c
#include "stdlib/blas/ext/base/dcartesianproduct.h"
#include <stdio.h>

int main( void ) {
// Create strided input arrays:
const double X[] = { 1.0, 2.0, 3.0, 4.0 };
const double Y[] = { 5.0, 6.0, 7.0, 8.0 };

// Specify the number of indexed elements:
const int M = 4;
const int N = 4;

// Create an output array (M*N pairs, each pair has 2 elements):
double out[ 32 ];

// Specify strides:
const int strideX = 1;
const int strideY = 1;
const int LDO = 2;

// Compute the Cartesian product:
stdlib_strided_dcartesian_product( M, N, X, strideX, Y, strideY, out, LDO );

// Print the result:
for ( int i = 0; i < M*N; i++ ) {
printf( "out[ %i ] = ( %lf, %lf )\n", i, out[ i*2 ], out[ i*2+1 ] );
}
}
```

</section>

<!-- /.examples -->

</section>

<!-- /.c -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[@stdlib/array/float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float64

[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray

</section>

<!-- /.links -->
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