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feat: add lapack/base/dpoequ
#2785
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<!-- | ||
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@license Apache-2.0 | ||
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Copyright (c) 2024 The Stdlib Authors. | ||
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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 | ||
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http://www.apache.org/licenses/LICENSE-2.0 | ||
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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. | ||
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--> | ||
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# dpoequ | ||
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> Compute row and column scalings intended to equilibrate a symmetric positive definite matrix `A`. | ||
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<section class = "usage"> | ||
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## Usage | ||
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```javascript | ||
var dpoequ = require( '@stdlib/lapack/base/dpoequ' ); | ||
``` | ||
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#### dpoequ( order, N, A, LDA, S, scond, amax ) | ||
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Computes row and column scalings intended to equilibrate a symmetric positive definite matrix `A`. | ||
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```javascript | ||
var Float64Array = require( '@stdlib/array/float64' ); | ||
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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 ); | ||
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var out = dpoequ( 'row-major', 2, A, 2, S, scond, amax ); | ||
// returns 0 | ||
``` | ||
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The function has the following parameters: | ||
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- **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. | ||
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Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. | ||
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<!-- eslint-disable stdlib/capitalized-comments --> | ||
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```javascript | ||
var Float64Array = require( '@stdlib/array/float64' ); | ||
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// 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 ] ); | ||
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// 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 | ||
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var out = dpoequ( 'row-major', 2, A1, 2, S1, scond1, amax1 ); | ||
// returns 0 | ||
``` | ||
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#### dpoequ.ndarray( N, A, sa1, sa2, oa, S, ss, os, sc, osc, am, oam ) | ||
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Computes row and column scalings intended to equilibrate a symmetric positive definite matrix `A` using alternative semantic indexing. | ||
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```javascript | ||
var Float64Array = require( '@stdlib/array/float64' ); | ||
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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 ); | ||
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var out = dpoequ.ndarray( 2, A, 2, 1, 0, S, 1, 0, scond, 0, amax, 0 ); | ||
// returns 0 | ||
``` | ||
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The function has the following parameters: | ||
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- **N**: order of matrix. | ||
- **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`. | ||
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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, | ||
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```javascript | ||
var Float64Array = require( '@stdlib/array/float64' ); | ||
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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 ); | ||
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var out = dpoequ.ndarray( 2, A, 2, 1, 1, S, 1, 0, scond, 0, amax, 0 ); | ||
// returns 0 | ||
``` | ||
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</section> | ||
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<!-- /.usage --> | ||
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<section class="notes"> | ||
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## Notes | ||
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- Both functions return a status code indicating success or failure. A status code indicates the following conditions: | ||
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- `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. | ||
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- `dpoequ()` corresponds to the [LAPACK][lapack] routine [`dpoequ`][lapack-dpoequ]. | ||
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</section> | ||
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<!-- /.notes --> | ||
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<section class="examples"> | ||
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## Examples | ||
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<!-- eslint no-undef: "error" --> | ||
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```javascript | ||
var Float64Array = require( '@stdlib/array/float64' ); | ||
var dpoequ = require( '@stdlib/lapack/base/dpoequ' ); | ||
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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 ); | ||
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var out = dpoequ( 'row-major', 2, A, 2, S, scond, amax ); | ||
console.log( out ); | ||
console.log( scond ); | ||
console.log( amax ); | ||
console.log( S ); | ||
``` | ||
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</section> | ||
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<!-- /.examples --> | ||
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<!-- C interface documentation. --> | ||
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* * * | ||
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<section class="c"> | ||
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## C APIs | ||
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<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> | ||
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<section class="intro"> | ||
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</section> | ||
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<!-- /.intro --> | ||
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<!-- C usage documentation. --> | ||
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<section class="usage"> | ||
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### Usage | ||
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```c | ||
TODO | ||
``` | ||
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#### TODO | ||
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TODO. | ||
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```c | ||
TODO | ||
``` | ||
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TODO | ||
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```c | ||
TODO | ||
``` | ||
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</section> | ||
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<!-- /.usage --> | ||
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<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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<section class="notes"> | ||
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</section> | ||
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<!-- /.notes --> | ||
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<!-- C API usage examples. --> | ||
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<section class="examples"> | ||
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### Examples | ||
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```c | ||
TODO | ||
``` | ||
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</section> | ||
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<!-- /.examples --> | ||
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</section> | ||
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<!-- /.c --> | ||
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> | ||
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<section class="related"> | ||
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</section> | ||
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<!-- /.related --> | ||
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<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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<section class="links"> | ||
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[lapack]: https://www.netlib.org/lapack/explore-html/ | ||
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[lapack-dpoequ]: https://www.netlib.org/lapack/explore-html/db/d48/group__poequ_ga64054a216849b768d3b922deba351e50.html#ga64054a216849b768d3b922deba351e50 | ||
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[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array | ||
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[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray | ||
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</section> | ||
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<!-- /.links --> |
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100
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. | ||
*/ | ||
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'use strict'; | ||
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// MODULES // | ||
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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' ); | ||
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// VARIABLES // | ||
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var options = { | ||
'dtype': 'float64' | ||
}; | ||
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// FUNCTIONS // | ||
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/** | ||
* 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 ); | ||
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return benchmark; | ||
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function benchmark( b ) { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Missing JSDoc. |
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var d; | ||
var i; | ||
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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(); | ||
} | ||
} | ||
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// MAIN // | ||
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/** | ||
* Main execution sequence. | ||
* | ||
* @private | ||
*/ | ||
function main() { | ||
var len; | ||
var min; | ||
var max; | ||
var f; | ||
var i; | ||
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min = 1; // 10^min | ||
max = 6; // 10^max | ||
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for ( i = min; i <= max; i++ ) { | ||
len = pow( 10, i ); | ||
f = createBenchmark( len ); | ||
bench( pkg+':order=row-major,len='+len, f ); | ||
} | ||
} | ||
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main(); |
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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
.