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Normalize
Return a normal number
y
and exponentexp
satisfyingx = y * 2^exp
.
Usage
var normalizef = require( '@stdlib/number/float32/base/normalize' );
normalizef( [out,] x )
Returns a normal number y
and exponent exp
satisfying x = y * 2^exp
.
var toFloat32 = require( '@stdlib/number/float64/base/to-float32' );
var out = normalizef( toFloat32( 1.401e-45 ) );
// returns [ 1.1754943508222875e-38, -23 ]
By default, the function returns y
and exp
as a two-element array
.
var toFloat32 = require( '@stdlib/number/float64/base/to-float32' );
var pow = require( '@stdlib/math/base/special/pow' );
var out = normalizef( toFloat32( 1.401e-45 ) );
// returns [ 1.1754943508222875e-38, -23 ]
var y = out[ 0 ];
var exp = out[ 1 ];
var bool = ( y*pow(2, exp) === toFloat32(1.401e-45) );
// returns true
To avoid unnecessary memory allocation, the function supports providing an output (destination) object.
var toFloat32 = require( '@stdlib/number/float64/base/to-float32' );
var Float32Array = require( '@stdlib/array/float32' );
var out = new Float32Array( 2 );
var v = normalizef( out, toFloat32( 1.401e-45 ) );
// returns <Float32Array>[ 1.1754943508222875e-38, -23 ]
var bool = ( v === out );
// returns true
The function expects a finite, non-zero single-precision floating-point number x
. If x == 0
,
var out = normalizef( 0.0 );
// returns [ 0.0, 0 ];
If x
is either positive or negative infinity
or NaN
,
var PINF = require( '@stdlib/constants/float32/pinf' );
var NINF = require( '@stdlib/constants/float32/ninf' );
var out = normalizef( PINF );
// returns [ Infinity, 0 ]
out = normalizef( NINF );
// returns [ -Infinity, 0 ]
out = normalizef( NaN );
// returns [ NaN, 0 ]
Notes
- While the function accepts higher precision floating-point numbers, beware that providing such numbers can be a source of subtle bugs as the relation
x = y * 2^exp
may not hold.
Examples
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var pow = require( '@stdlib/math/base/special/pow' );
var toFloat32 = require( '@stdlib/number/float64/base/to-float32' );
var normalizef = require( '@stdlib/number/float32/base/normalize' );
var frac;
var exp;
var x;
var v;
var i;
// Generate denormalized single-precision floating-point numbers and then normalize them...
for ( i = 0; i < 100; i++ ) {
frac = randu() * 10.0;
exp = 38 + round( randu()*6.0 );
x = frac * pow( 10.0, -exp );
x = toFloat32( x );
v = normalizef( x );
console.log( '%d = %d * 2^%d = %d', x, v[0], v[1], v[0]*pow(2.0, v[1]) );
}