About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
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Convert an angle from radians to degrees (single-precision).
npm install @stdlib/math-base-special-rad2degfvar rad2degf = require( '@stdlib/math-base-special-rad2degf' );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-
Due to finite precision, canonical values may not be returned. For example,
var d = rad2degf( 3.141592653589793 / 6.0 ); // returns 30.000001907348633
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 );
}#include "stdlib/math/base/special/rad2degf.h"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 -45.0fThe function accepts the following arguments:
-
x:
[in] floatinput value (in radians).
float stdlib_base_rad2degf( const float x );#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 );
}
}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.
See LICENSE.
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