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feat: add lapack/base/dlae2 #2824

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221 changes: 221 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dlae2/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.

-->

# dlae2

> Compute the eigenvalues of a 2x2 symmetric matrix.

<section class = "usage">

## Usage

```javascript
var dlae2 = require( '@stdlib/lapack/base/dlae2' );
```

#### dlae2( A, B, C, Out )
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Computes the eigenvalues of a 2x2 symmetric matrix.

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

var out = new Float64Array( 2 );
out = dlae2( 2.0, 3.0, 4.0, out );
// out => <Float64Array>[ 6.16227766016838, -0.1622776601683793 ]
```

The function has the following parameters:

- **A**: the (0,0) element of matrix.
- **B**: the (0,1) & (1,0) elements of matrix.
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- **C**: the (1,1) element of matrix.
- **Out**: output [`Float64Array`][mdn-float64array] containing eigenvalue of larger and smaller absolute value respectively.
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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...
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var OUT0 = new Float64Array( [ 0.0, 0.0, 0.0 ] );
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// Create offset views...
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var OUT1 = new Float64Array( OUT0.buffer, OUT0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

dlae2( 2.0, 3.0, 4.0, OUT1 );
// OUT0 => <Float64Array>[ 0.0, 6.16227766016838, -0.1622776601683793 ]
```

#### dlae2.ndarray( A, B, C, Out, strideOut, offsetOut )

Computes the eigenvalues of a 2x2 symmetric matrix using alternative indexing semantics.

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

var out = new Float64Array( 2 );
out = dlae2.ndarray( 2.0, 3.0, 4.0, out, 1, 0 );
// out => <Float64Array>[ 6.16227766016838, -0.1622776601683793 ]
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```

The function has the following additional parameters:

- **strideOut**: stride length for `Out`.
- **offsetOut**: starting index of `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,

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

var out = new Float64Array( [ 0.0, 0.0, 0.0 ] );
out = dlae2.ndarray( 2.0, 3.0, 4.0, out, 1, 1 );
// out => <Float64Array>[ 0.0, 6.16227766016838, -0.1622776601683793 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- `dlae2()` corresponds to the [LAPACK][lapack] routine [`dlae2`][lapack-dlae2].

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var dlae2 = require( '@stdlib/lapack/base/dlae2' );

var out = new Float64Array( 2 );
out = dlae2( 2.0, 3.0, 4.0, out );
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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
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-dlae2]: https://www.netlib.org/lapack/explore-html/d7/dea/group__lae2_ga44e727d32752c2fa22d7deaff099249b.html#ga44e727d32752c2fa22d7deaff099249b

[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 -->
57 changes: 57 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dlae2/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 Float64Array = require( '@stdlib/array/float64' );
var randu = require( '@stdlib/random/base/randu' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var dlae2 = require( './../lib/dlae2.js' );


// MAIN //

bench( pkg, function benchmark( b ) {
var out;
var A;
var B;
var C;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
A = ( randu() * 100.0 ) - 50.0;
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B = ( randu() * 100.0 ) - 50.0;
C = ( randu() * 100.0 ) - 50.0;
out = new Float64Array( 2 );
out = dlae2( A, B, C, out );
if ( isnan( out[ i%out.length ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( out[ i%out.length ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
});
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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 Float64Array = require( '@stdlib/array/float64' );
var randu = require( '@stdlib/random/base/randu' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var dlae2 = require( './../lib/ndarray.js' );


// MAIN //

bench( pkg+':ndarray', function benchmark( b ) {
var out;
var A;
var B;
var C;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
A = ( randu() * 100.0 ) - 50.0;
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B = ( randu() * 100.0 ) - 50.0;
C = ( randu() * 100.0 ) - 50.0;
out = new Float64Array( 2 );
out = dlae2( A, B, C, out, 1, 0 );
if ( isnan( out[ i%out.length ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( out[ i%out.length ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
});
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