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This PR optimizes random number generation for the Studentized Range distribution. #5178

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This PR optimizes random number generation for the Studentized Range distribution. #5178

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27e866e
refactor(stats/base/dists/studentized-range): optimize RNG in benchma…
stdlib-bot Feb 10, 2025
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Delete lib/node_modules/@stdlib/blas/ext/base/gapxsumkbn/README.md
iraandrushko Feb 10, 2025
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4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/blas/ext/base/gapxsumkbn/README.md
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Expand Up @@ -160,9 +160,9 @@ console.log( v );
## See Also

- <span class="package-name">[`@stdlib/blas/ext/base/dapxsumkbn`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
- <span class="package-name">[`@stdlib/blas/ext/base/gapxsum`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each strided array element and compute the sum.</span>
- <span class="package-name">[`@stdlib/blas/ext/base/gapxsum`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum.</span>
- <span class="package-name">[`@stdlib/blas/ext/base/gsumkbn`][@stdlib/blas/ext/base/gsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.</span>
- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumkbn`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumkbn`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>

</section>

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3 changes: 3 additions & 0 deletions lib/node_modules/@stdlib/math/base/special/deg2radf/README.md
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Expand Up @@ -168,6 +168,7 @@ int main( void ) {
## See Also

- <span class="package-name">[`@stdlib/math/base/special/deg2rad`][@stdlib/math/base/special/deg2rad]</span><span class="delimiter">: </span><span class="description">convert an angle from degrees to radians.</span>
- <span class="package-name">[`@stdlib/math/base/special/rad2degf`][@stdlib/math/base/special/rad2degf]</span><span class="delimiter">: </span><span class="description">convert an angle from radians to degrees (single-precision).</span>

</section>

Expand All @@ -181,6 +182,8 @@ int main( void ) {

[@stdlib/math/base/special/deg2rad]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/deg2rad

[@stdlib/math/base/special/rad2degf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/rad2degf

<!-- </related-links> -->

</section>
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28 changes: 21 additions & 7 deletions lib/node_modules/@stdlib/stats/base/dists/studentized-range/cdf/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var cdf = require( './../lib' );
Expand All @@ -30,18 +31,26 @@ var cdf = require( './../lib' );
// MAIN //

bench( pkg, function benchmark( b ) {
var len;
var v;
var r;
var q;
var y;
var i;

len = 100;
q = new Float64Array( len );
r = new Float64Array( len );
v = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
q[ i ] = uniform( 0, 12.0 );
r[ i ] = uniform( 2.0, 22.0 );
v[ i ] = uniform( 2.0, 22.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
q = randu() * 12.0;
r = ( randu()*20.0 ) + 2.0;
v = ( randu()*20.0 ) + 2.0;
y = cdf( q, r, v );
y = cdf( q[ i % len ], r[ i % len ], v[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -56,6 +65,7 @@ bench( pkg, function benchmark( b ) {

bench( pkg+':factory', function benchmark( b ) {
var mycdf;
var len;
var r;
var q;
var v;
Expand All @@ -65,11 +75,15 @@ bench( pkg+':factory', function benchmark( b ) {
v = 5.0;
r = 3.0;
mycdf = cdf.factory( v, r );
len = 100;
q = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
q[ i ] = uniform( 0, 1.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
q = randu();
y = mycdf( q );
y = mycdf( q[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
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29 changes: 20 additions & 9 deletions lib/node_modules/@stdlib/stats/base/dists/studentized-range/quantile/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var quantile = require( './../lib' );
Expand All @@ -30,18 +31,24 @@ var quantile = require( './../lib' );
// MAIN //

bench( pkg, function benchmark( b ) {
var len;
var v;
var r;
var p;
var y;
var i;

len = 100;
p = new Float64Array( len );
r = new Float64Array( len );
v = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
p[ i ] = uniform( 0.0, 1.0 );
r[ i ] = uniform( 2.0, 22.0 );
v[ i ] = uniform( 2.0, 22.0 );
}
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
p = randu();
r = ( randu()*20.0 ) + 2.0;
v = ( randu()*20.0 ) + 2.0;
y = quantile( p, r, v );
y = quantile( p[ i % len ], r[ i % len ], v[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -56,6 +63,7 @@ bench( pkg, function benchmark( b ) {

bench( pkg+':factory', function benchmark( b ) {
var myquantile;
var len;
var r;
var p;
var v;
Expand All @@ -65,11 +73,14 @@ bench( pkg+':factory', function benchmark( b ) {
v = 5.0;
r = 3.0;
myquantile = quantile.factory( v, r );

len = 100;
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
p[ i ] = uniform( 0.0, 1.0 );
}
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
p = randu();
y = myquantile( p );
y = myquantile( p[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
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