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feat: add lapack/base/slaswp
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PR-URL: stdlib-js#2757
Ref: stdlib-js#2464
Co-authored-by: Athan Reines <[email protected]>
Reviewed-by: Athan Reines <[email protected]>
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/lapack/base/dlaswp/README.md
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#### dlaswp( N, A, LDA, k1, k2, IPIV, incx )

Perform a series of row interchanges on an input matrix `A` using pivot indices stored in `IPIV`.
Performs a series of row interchanges on an input matrix `A` using pivot indices stored in `IPIV`.

```javascript
var Int32Array = require( '@stdlib/array/int32' );
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293 changes: 293 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/slaswp/README.md
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# slaswp

> Perform a series of row interchanges on an input matrix.
<section class = "usage">

## Usage

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

#### slaswp( N, A, LDA, k1, k2, IPIV, incx )

Performs a series of row interchanges on an input matrix `A` using pivot indices stored in `IPIV`.

```javascript
var Int32Array = require( '@stdlib/array/int32' );
var Float32Array = require( '@stdlib/array/float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
var IPIV = new Int32Array( [ 2, 0, 1 ] );

slaswp( 'row-major', 2, A, 2, 0, 2, IPIV, 1 );
// A => <Float32Array>[ 3.0, 4.0, 1.0, 2.0, 5.0, 6.0 ]
```

The function has the following parameters:

- **order**: storage layout.
- **N**: number of columns in `A`.
- **A**: input matrix stored in linear memory as a [`Float32Array`][mdn-Float32Array].
- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
- **k1**: index of first row to interchange when `incx` is positive and the index of the last row to interchange when `incx` is negative.
- **k2**: index of last row to interchange when `incx` is positive and the index of the first row to interchange when `incx` is negative.
- **IPIV**: vector of pivot indices as an [`Int32Array`][mdn-int32array]. Must contain at least `k1+(k2-k1)*abs(incx)` elements. Only the elements in positions `k1` through `k1+(k2-k1)*abs(incx)` are accessed.
- **incx**: increment between successive values of `IPIV`. Elements from `IPIV` are accessed according to `IPIV[k1+(k-k1)*abs(incx)] = j`, thus implying that rows `k` and `j` should be interchanged. If `incx` is negative, the pivots are applied in reverse order.

The sign of the increment parameter `incx` determines the order in which pivots are applied. For example, to apply pivots in reverse order,

```javascript
var Int32Array = require( '@stdlib/array/int32' );
var Float32Array = require( '@stdlib/array/float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
var IPIV = new Int32Array( [ 2, 0, 1 ] );

slaswp( 'row-major', 2, A, 2, 0, 2, IPIV, -1 );
// A => <Float32Array>[ 3.0, 4.0, 1.0, 2.0, 5.0, 6.0 ]
```

To perform strided access over `IPIV`, provide an `abs(incx)` value greater than one. For example, to access every other element in `IPIV`,

```javascript
var Int32Array = require( '@stdlib/array/int32' );
var Float32Array = require( '@stdlib/array/float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
var IPIV = new Int32Array( [ 2, 999, 0, 999, 1 ] );

slaswp( 'row-major', 2, A, 2, 0, 2, IPIV, 2 );
// A => <Float32Array>[ 3.0, 4.0, 1.0, 2.0, 5.0, 6.0 ]
```

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 Int32Array = require( '@stdlib/array/int32' );
var Float32Array = require( '@stdlib/array/float32' );

// Initial arrays...
var A0 = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var IPIV0 = new Int32Array( [ 0, 2, 0, 1] );

// Create offset views...
var A1 = new Float32Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var IPIV1 = new Int32Array( IPIV0.buffer, IPIV0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

slaswp( 'row-major', 2, A1, 2, 0, 2, IPIV1, 1 );
// A0 => <Float32Array>[ 0.0, 3.0, 4.0, 1.0, 2.0, 5.0, 6.0 ]
```

#### slaswp.ndarray( N, A, sa1, sa2, oa, k1, k2, inck, IPIV, si, oi )

Performs a series of row interchanges on the matrix `A` using pivot indices stored in `IPIV` and alternative indexing semantics.

```javascript
var Int32Array = require( '@stdlib/array/int32' );
var Float32Array = require( '@stdlib/array/float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
var IPIV = new Int32Array( [ 2, 0, 1 ] );

slaswp.ndarray( 2, A, 2, 1, 0, 0, 2, 1, IPIV, 1, 0 );
// A => <Float32Array>[ 3.0, 4.0, 1.0, 2.0, 5.0, 6.0 ]
```

The function has the following additional parameters:

- **N**: number of columns in `A`.
- **A**: input matrix stored in linear memory as a [`Float32Array`][mdn-float32array].
- **sa1**: stride of the first dimension of `A`.
- **sa2**: stride of the second dimension of `A`.
- **oa**: starting index for `A`.
- **k1**: index of first row to interchange when `inck` is positive and the index of the last row to interchange when `inck` is negative.
- **k2**: index of last row to interchange when `inck` is positive and the index of the first row to interchange when `inck` is negative.
- **inck**: direction in which to apply pivots (-1 to apply pivots in reverse order; otherwise, apply in provided order).
- **IPIV**: vector of pivot indices as an [`Int32Array`][mdn-int32array].
- **si**: index increment for `IPIV`.
- **oi**: starting index for `IPIV`.

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,

<!-- eslint-disable max-len -->

```javascript
var Int32Array = require( '@stdlib/array/int32' );
var Float32Array = require( '@stdlib/array/float32' );

var A = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var IPIV = new Int32Array( [ 0, 0, 2, 0, 1 ] );

slaswp.ndarray( 2, A, 2, 1, 4, 0, 2, 1, IPIV, 1, 2 );
// A => <Float32Array>[ 0.0, 0.0, 0.0, 0.0, 3.0, 4.0, 1.0, 2.0, 5.0, 6.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- Both functions access `k2-k1+1` elements from `IPIV`.
- While `slaswp` conflates the order in which pivots are applied with the order in which elements in `IPIV` are accessed, the `ndarray` method delineates control of those behaviors with separate parameters `inck` and `si`.
- `slaswp()` corresponds to the [LAPACK][LAPACK] level 1 function [`slaswp`][lapack-slaswp].

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var Float32Array = require( '@stdlib/array/float32' );
var Int32Array = require( '@stdlib/array/int32' );
var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
var slaswp = require( '@stdlib/lapack/base/slaswp' );

// Specify matrix meta data:
var shape = [ 4, 2 ];
var strides = [ 1, 4 ];
var offset = 0;
var order = 'column-major';

// Create a matrix stored in linear memory:
var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
console.log( ndarray2array( A, shape, strides, offset, order ) );

// Define a vector of pivot indices:
var IPIV = new Int32Array( [ 2, 0, 3, 1 ] );

// Interchange rows:
slaswp( order, shape[ 1 ], A, strides[ 1 ], 0, shape[ 0 ]-1, IPIV, 1 );
console.log( ndarray2array( A, shape, strides, offset, order ) );
```

</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-slaswp]: https://www.netlib.org/lapack/explore-html/d1/d7e/group__laswp_ga0c231ab9280d3cf32c10855ae741fc00.html#ga0c231ab9280d3cf32c10855ae741fc00

[mdn-float32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float32Array

[mdn-int32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Int32Array

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

</section>

<!-- /.links -->
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