FLOAT32_EPS

Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.

Epsilon is defined as

where b is the radix (base) and p is the precision (number of radix bits in the significand). For single-precision floating-point numbers, b is 2 and p is 24.

Installation

npm install @stdlib/constants-float32-eps

Usage

var FLOAT32_EPS = require( '@stdlib/constants-float32-eps' );

FLOAT32_EPS

Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.

var bool = ( FLOAT32_EPS === 1.1920928955078125e-7 );
// returns true

Examples

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_EPS = require( '@stdlib/constants-float32-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_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-6) - 1.0e-6 );
    bool = isApprox( a, b );
    console.log( '%d %s approximately equal to %d', a, ( bool ) ? 'is' : 'is not', b );
}

C APIs

Usage

#include "stdlib/constants/float32/eps.h"

STDLIB_CONSTANT_FLOAT32_EPS

Macro for the difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.

See Also

• @stdlib/constants-float64/eps: difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

Notice

This package is part of 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, see the main project repository.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.