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feat: add lapack/base/dlartv #2842

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259 changes: 259 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dlartv/README.md
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<!--

@license Apache-2.0

Copyright (c) 2024 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.

-->

# dlartv

> Apply a vector of real plane rotations to elements of real vectors `X` and `Y`.

<section class = "usage">

## Usage

```javascript
var dlartv = require( '@stdlib/lapack/base/dlartv' );
```

#### dlartv( N, X, strideX, Y, strideY, C, S, strideCS )

Applies a vector of real plane rotations to elements of real vectors `X` and `Y`.

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

var X = new Float64Array( [ 1.0, 1.0 ] );
var Y = new Float64Array( [ 1.0, 1.0 ] );
var C = new Float64Array( [ 1.0, 1.0 ] );
var S = new Float64Array( [ 0.0, 0.0 ] );

X = dlartv( 2, X, 1, Y, 1, C, S, 1 );
// X => <Float64Array>[ 1.0, 1.0 ]
```

The function has the following parameters:

- **N**: number of plane rotations to apply.
- **X**: input [`Float64Array`][mdn-float64array].
- **strideX**: stride length for `X`.
- **Y**: input [`Float64Array`][mdn-float64array].
- **strideY**: stride length for `Y`.
- **C**: input [`Float64Array`][mdn-float64array] containing the cosine values of the plane rotations.
- **S**: input [`Float64Array`][mdn-float64array] containing the sine values of the plane rotations.
- **strideCS**: stride length for `C` and `S`.

Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.

<!-- eslint-disable stdlib/capitalized-comments -->

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

// Initial arrays...
var X0 = new Float64Array( [ 0.0, 1.0, 1.0 ] );
var Y0 = new Float64Array( [ 0.0, 1.0, 1.0 ] );
var C0 = new Float64Array( [ 0.0, 1.0, 1.0 ] );
var S0 = new Float64Array( [ 0.0, 0.0, 0.0 ] );

// 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*1 ); // start at 2nd element
var C1 = new Float64Array( C0.buffer, C0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var S1 = new Float64Array( S0.buffer, S0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

X1 = dlartv( 2, X1, 1, Y1, 1, C1, S1, 1 );
// X0 => <Float64Array>[ 0.0, 1.0, 1.0 ]
```

#### dlartv.ndarray( N, X, sx, ox, Y, sy, oy, C, sc, oc, S, ss, os )

Applies a vector of real plane rotations to elements of real vectors `X` and `Y` using alternative semantic indexing.

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

var X = new Float64Array( [ 1.0, 1.0 ] );
var Y = new Float64Array( [ 1.0, 1.0 ] );
var C = new Float64Array( [ 1.0, 1.0 ] );
var S = new Float64Array( [ 0.0, 0.0 ] );

X = dlartv.ndarray( 2, X, 1, 0, Y, 1, 0, C, 1, 0, S, 1, 0 );
// X => <Float64Array>[ 1.0, 1.0 ]
```

The function has the following parameters:

- **N**: number of plane rotations to apply.
- **X**: input [`Float64Array`][mdn-float64array].
- **sx**: stride length for `X`.
- **ox**: starting index for `X`.
- **Y**: input [`Float64Array`][mdn-float64array].
- **sy**: stride length for `Y`.
- **oy**: starting index for `Y`.
- **C**: input [`Float64Array`][mdn-float64array] containing the cosine values of the plane rotations.
- **sc**: stride length for `C`.
- **oc**: starting index for `C`.
- **S**: input [`Float64Array`][mdn-float64array] containing the sine values of the plane rotations.
- **ss**: stride length for `S`.
- **os**: starting index for `S`.

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,

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

var X = new Float64Array( [ 1.0, 1.0 ] );
var Y = new Float64Array( [ 1.0, 1.0 ] );
var C = new Float64Array( [ 1.0, 1.0 ] );
var S = new Float64Array( [ 0.5, 0.4 ] );

X = dlartv.ndarray( 2, X, -1, 1, Y, 1, 0, C, 1, 0, S, 1, 0 );
// X => <Float64Array>[ 1.4, 1.5 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- `dlartv()` corresponds to the [LAPACK][lapack] routine [`dlartv`][lapack-dlartv].

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

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

var X = new Float64Array( [ 1.0, 1.0 ] );
var Y = new Float64Array( [ 1.0, 1.0 ] );
var C = new Float64Array( [ 1.0, 1.0 ] );
var S = new Float64Array( [ 0.5, 0.5 ] );

X = dlartv( 2, X, 1, Y, 1, C, S, 1 );
console.log( X );
console.log( Y );
```

</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
TODO
```

#### TODO

TODO.

```c
TODO
```

TODO

```c
TODO
```

</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
TODO
```

</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">

[lapack]: https://www.netlib.org/lapack/explore-html/

[lapack-dlartv]: https://www.netlib.org/lapack/explore-html/df/d2e/group__lartv_ga7b74ad84d2c14b74df63690c5af1ce21.html#ga7b74ad84d2c14b74df63690c5af1ce21

[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array

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

</section>

<!-- /.links -->
101 changes: 101 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dlartv/benchmark/benchmark.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2024 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 pkg = require( './../package.json' ).name;
var dlartv = require( './../lib/dlartv.js' );


// VARIABLES //

var options = {
'dtype': 'float64'
};


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var X = uniform( len, -10.0, 10.0, options );
var Y = uniform( len, -10.0, 10.0, options );
var C = uniform( len, -1.0, 1.0, options );
var S = uniform( len, -1.0, 1.0, options );

return benchmark;

function benchmark( b ) {
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
X = uniform( len, -10.0, 10.0, options );
Y = uniform( len, -10.0, 10.0, options );
X = dlartv( len, X, 1, Y, 1, C, S, 1 );
if ( isnan( X[ i%X.length ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( X[ 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( pkg+':len='+len, f );
}
}

main();
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