Square root of single-precision floating-point epsilon.
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> [Square root][@stdlib/math/base/special/sqrt] of [single-precision floating-point epsilon][@stdlib/constants/float32/eps].
``bash`
npm install @stdlib/constants-float32-sqrt-eps
`javascript`
var FLOAT32_SQRT_EPS = require( '@stdlib/constants-float32-sqrt-eps' );
#### FLOAT32_SQRT_EPS
[Square root][@stdlib/math/base/special/sqrt] of [single-precision floating-point epsilon][@stdlib/constants/float32/eps].
`javascript`
var bool = ( FLOAT32_SQRT_EPS === 0.0003452669770922512 );
// returns true
`javascript
var abs = require( '@stdlib/math-base-special-abs' );
var max = require( '@stdlib/math-base-special-max' );
var float64ToFloat32 = require( '@stdlib/number-float64-base-to-float32' );
var randu = require( '@stdlib/random-base-randu' );
var FLOAT32_SQRT_EPS = require( '@stdlib/constants-float32-sqrt-eps' );
var bool;
var a;
var b;
var i;
function isApprox( a, b ) {
var delta;
var tol;
delta = float64ToFloat32( abs( a - b ) );
tol = float64ToFloat32( FLOAT32_SQRT_EPS * max( abs( a ), abs( b ) ) );
return ( delta <= tol );
}
for ( i = 0; i < 100; i++ ) {
a = float64ToFloat32( randu()*10.0 );
b = float64ToFloat32( a + (randu()*2.0e-2) - 1.0e-2 );
bool = isApprox( a, b );
console.log( '%d %s approximately equal to %d', a, ( bool ) ? 'is' : 'is not', b );
}
`
*
`c`
#include "stdlib/constants/float32/sqrt_eps.h"
#### STDLIB_CONSTANT_FLOAT32_SQRT_EPS
Macro for the [square root][@stdlib/math/base/special/sqrt] of [single-precision floating-point epsilon][@stdlib/constants/float32/eps].
*
- [@stdlib/constants-float32/eps][@stdlib/constants/float32/eps]: difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
- [@stdlib/constants-float64/sqrt-eps][@stdlib/constants/float64/sqrt-eps]: square root of double-precision floating-point epsilon.
*
This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].
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---
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Copyright © 2016-2026. The Stdlib [Authors][stdlib-authors].
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[@stdlib/math/base/special/sqrt]: https://www.npmjs.com/package/@stdlib/math-base-special-sqrt
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[@stdlib/constants/float64/sqrt-eps]: https://www.npmjs.com/package/@stdlib/constants-float64-sqrt-eps