rad2degf

Convert an angle from radians to degrees (single-precision).

Installation

npm install @stdlib/math-base-special-rad2degf

Usage

var rad2degf = require( '@stdlib/math-base-special-rad2degf' );

rad2degf( x )

Converts an angle from radians to degrees (single-precision).

var d = rad2degf( 3.141592653589793 / 2.0 );
// returns 90.0

d = rad2degf( -3.141592653589793 / 4.0 );
// returns -45.0

d = rad2degf( NaN );
// returns NaN

Notes

• Due to finite precision, canonical values may not be returned. For example,

  var d = rad2degf( 3.141592653589793 / 6.0 );
  // returns 30.000001907348633

Examples

var randu = require( '@stdlib/random-base-randu' );
var TWO_PI = require( '@stdlib/constants-float32-two-pi' );
var rad2degf = require( '@stdlib/math-base-special-rad2degf' );

var r;
var d;
var i;

for ( i = 0; i < 100; i++ ) {
    r = randu() * TWO_PI;
    d = rad2degf( r );
    console.log( 'radians: %d => degrees: %d', r, d );
}

C APIs

Usage

#include "stdlib/math/base/special/rad2degf.h"

stdlib_base_rad2degf( x )

Converts an angle from radians to degrees (single-precision).

float x = 3.141592653589793f / 2.0f;
float d = stdlib_base_rad2degf( x );
// returns 90.0f

x = -3.141592653589793f / 4.0f;
d = stdlib_base_rad2degf( x );
// returns -45.0f

The function accepts the following arguments:

• x: [in] float input value (in radians).

float stdlib_base_rad2degf( const float x );

Examples

#include "stdlib/math/base/special/rad2degf.h"
#include "stdlib/constants/float32/two_pi.h"
#include <stdlib.h>
#include <stdio.h>

int main( void ) {
    float x;
    float d;
    int i;

    for ( i = 0; i < 100; i++ ) {
        x = (float)rand() / (float)RAND_MAX * STDLIB_CONSTANT_FLOAT32_TWO_PI;
        d = stdlib_base_rad2degf( x );
        printf( "radians: %f => degrees: %f\n", x, d );
    }
}

See Also

• @stdlib/math-base/special/rad2deg: convert an angle from radians to degrees.

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.