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265 changes: 265 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dpoequ/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.

-->

# dpoequ

> Compute row and column scalings intended to equilibrate a symmetric positive definite matrix `A`.

<section class = "usage">

## Usage

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

#### dpoequ( order, N, A, LDA, S, scond, amax )

Computes row and column scalings intended to equilibrate a symmetric positive definite matrix `A`.

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

var A = new Float64Array( [ 1.0, 2.0, 2.0, 4.0 ] );
var S = new Float64Array( 2 );
var scond = new Float64Array( 1 );
var amax = new Float64Array( 1 );

var out = dpoequ( 'row-major', 2, A, 2, S, scond, amax );
// returns 0
```

The function has the following parameters:

- **order**: storage layout.
- **N**: order of matrix.
- **A**: input symmetric positive definite [`Float64Array`][mdn-float64array].
- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
- **S**: [`Float64Array`][mdn-float64array] containing scale factors.
- **scond**: [`Float64Array`][mdn-float64array] containing the ratio of the smallest to the largest scale factors.
- **amax**: [`Float64Array`][mdn-float64array] containing the absolute value of the largest matrix element.

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 A0 = new Float64Array( [ 0.0, 1.0, 2.0, 2.0, 4.0 ] );
var S0 = new Float64Array( [ 0.0, 0.0, 0.0 ] );
var scond0 = new Float64Array( [ 0.0, 0.0 ] );
var amax0 = new Float64Array( [ 0.0, 0.0 ] );

// Create offset views...
var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var S1 = new Float64Array( S0.buffer, S0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var scond1 = new Float64Array( scond0.buffer, scond0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var amax1 = new Float64Array( amax0.buffer, amax0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

var out = dpoequ( 'row-major', 2, A1, 2, S1, scond1, amax1 );
// returns 0
```

#### dpoequ.ndarray( N, A, sa1, sa2, oa, S, ss, os, sc, osc, am, oam )

Computes row and column scalings intended to equilibrate a symmetric positive definite matrix `A` using alternative semantic indexing.

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

var A = new Float64Array( [ 1.0, 2.0, 2.0, 4.0 ] );
var S = new Float64Array( 2 );
var scond = new Float64Array( 1 );
var amax = new Float64Array( 1 );

var out = dpoequ.ndarray( 2, A, 2, 1, 0, S, 1, 0, scond, 0, amax, 0 );
// returns 0
```

The function has the following parameters:

- **N**: order of matrix.
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Description is wrong.

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Or I suppose by "order", you mean the number of elements along each dimension of a square matrix A.

- **A**: input symmetric positive definite [`Float64Array`][mdn-float64array].
- **sa1**: stride of the first dimension of `A`.
- **sa2**: stride of the second dimension of `A`.
- **oa**: starting index for `A`.
- **S**: [`Float64Array`][mdn-float64array] containing scale factors.
- **ss**: stride length of `S`.
- **os**: starting index for `S`.
- **sc**: [`Float64Array`][mdn-float64array] containing the ratio of the smallest to the largest scale factors.
- **osc**: starting index for `sc`.
- **am**: [`Float64Array`][mdn-float64array] containing the absolute value of the largest matrix element.
- **oam**: starting index for `am`.

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 A = new Float64Array( [ 0.0, 1.0, 2.0, 2.0, 4.0 ] );
var S = new Float64Array( 2 );
var scond = new Float64Array( 1 );
var amax = new Float64Array( 1 );

var out = dpoequ.ndarray( 2, A, 2, 1, 1, S, 1, 0, scond, 0, amax, 0 );
// returns 0
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- Both functions return a status code indicating success or failure. A status code indicates the following conditions:

- `0`: factorization was successful.
- `<0`: the k-th argument had an illegal value, where `-k` equals the status code value.
- `0 < k < N`: the k-th argument had a non-positive value.

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

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

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

var A = new Float64Array( [ 1.0, 2.0, 2.0, 4.0 ] );
var S = new Float64Array( 2 );
var scond = new Float64Array( 1 );
var amax = new Float64Array( 1 );

var out = dpoequ( 'row-major', 2, A, 2, S, scond, amax );
console.log( out );
console.log( scond );
console.log( amax );
console.log( S );
```

</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-dpoequ]: https://www.netlib.org/lapack/explore-html/db/d48/group__poequ_ga64054a216849b768d3b922deba351e50.html#ga64054a216849b768d3b922deba351e50

[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 -->
100 changes: 100 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dpoequ/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 dpoequ = require( './../lib/dpoequ.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 scond = uniform( 1, 1.0, 100.0, options );
var amax = uniform( 1, 1.0, 100.0, options );
var A = uniform( len, 1.0, 100.0, options );
var S = uniform( 2, 1.0, 100.0, options );

return benchmark;

function benchmark( b ) {
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Missing JSDoc.

var d;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
d = dpoequ( 'row-major', len, A, len, S, scond, amax);
if ( isnan( d ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( d ) ) {
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+':order=row-major,len='+len, f );
}
}

main();
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