# @stdlib/number-float64-base-normalize

0.2.3 • Public • Published

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# normalize

Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

## Installation

`npm install @stdlib/number-float64-base-normalize`

## Usage

`var normalize = require( '@stdlib/number-float64-base-normalize' );`

#### normalize( x )

Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

```var pow = require( '@stdlib/math-base-special-pow' );

var out = normalize( 3.14e-319 );
// returns [ 1.4141234400356668e-303, -52 ]

var y = out[ 0 ];
var exp = out[ 1 ];

var bool = ( y*pow(2.0, exp) === 3.14e-319 );
// returns true```

The function expects a finite, non-zero numeric value `x`. If `x == 0`,

```var out = normalize( 0.0 );
// returns [ 0.0, 0 ];```

If `x` is either positive or negative `infinity` or `NaN`,

```var PINF = require( '@stdlib/constants-float64-pinf' );
var NINF = require( '@stdlib/constants-float64-ninf' );

var out = normalize( PINF );
// returns [ Infinity, 0 ]

out = normalize( NINF );
// returns [ -Infinity, 0 ]

out = normalize( NaN );
// returns [ NaN, 0 ]```

#### normalize.assign( x, out, stride, offset )

Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp` and assigns results to a provided output array.

```var Float64Array = require( '@stdlib/array-float64' );

var out = new Float64Array( 2 );

var v = normalize.assign( 3.14e-319, out, 1, 0);
// returns <Float64Array>[ 1.4141234400356668e-303, -52 ]

var bool = ( v === out );
// returns true```

## Examples

```var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var randu = require( '@stdlib/random-base-uniform' );
var pow = require( '@stdlib/math-base-special-pow' );
var normalize = require( '@stdlib/number-float64-base-normalize' );

var frac;
var exp;
var x;
var v;
var i;

// Generate denormalized numbers and then normalize them...
for ( i = 0; i < 100; i++ ) {
// Generate a random fraction:
frac = randu( 0.0, 10.0 );

// Generate an exponent on the interval (-308,-324):
exp = discreteUniform( -323, -309 );

// Create a subnormal number (~2.23e-308, ~4.94e-324):
x = frac * pow( 10.0, exp );

// Determine a `y` and an `exp` to "normalize" the subnormal:
v = normalize( x );

console.log( '%d = %d * 2^%d = %d', x, v[0], v[1], v[0]*pow(2.0, v[1]) );
}```

## C APIs

### Usage

`#include "stdlib/number/float64/base/normalize.h"`

#### stdlib_base_float64_normalize( x, *y, *exp )

Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

```#include <stdint.h>

double y;
int32_t exp;

stdlib_base_float64_normalize( 3.14, &y, &exp );```

The function accepts the following arguments:

• x: `[in] double` input value.
• y: `[out] double*` destination for normal number.
• exp: `[out] int32_t*` destination for exponent.
`void stdlib_base_float64_normalize( const double x, double *y, int32_t *exp );`

### Examples

```#include "stdlib/number/float64/base/normalize.h"
#include <stdint.h>
#include <stdio.h>
#include <inttypes.h>

int main( void ) {
double x[] = { 1.0, 3.14, 0.0, -0.0, 3.14e-308, 3.14e308, 1.0/0.0, 0.0/0.0 };
int32_t exp;
double y;
int i;

for ( i = 0; i < 8; i++ ) {
stdlib_base_float64_normalize( x[ i ], &y, &exp );
printf( "%lf => y: %lf, exp: %" PRId32 "\n", x[ i ], y, exp );
}
}```

## 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.

## Package Sidebar

### Install

`npm i @stdlib/number-float64-base-normalize`

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