Evaluate the modulus function for single-precision floating-point numbers.
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> Evaluate the [Modulus function][modulus-function] for single-precision floating-point numbers.
The [modulus function][modulus-function] is defined as
where x is the dividend and y is the divisor.
``bash`
npm install @stdlib/math-base-special-fmodf
`javascript`
var fmodf = require( '@stdlib/math-base-special-fmodf' );
#### fmodf( x, y )
Evaluates the [Modulus function][modulus-function] for single-precision floating-point numbers.
`javascript
var v = fmodf( 8.0, 3.0 );
// returns 2.0
v = fmodf( 9.0, 3.0 );
// returns 0.0
v = fmodf( 8.9, 3.0 );
// returns ~2.9
v = fmodf( NaN, 3.0 );
// returns NaN
v = fmodf( 5.0, NaN );
// returns NaN
v = fmodf( NaN, NaN );
// returns NaN
`
`javascript
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var fmodf = require( '@stdlib/math-base-special-fmodf' );
var opts = {
'dtype': 'float32'
};
var x = discreteUniform( 100, 0, 100, opts );
var y = discreteUniform( 100, -50, 50, opts );
logEachMap( '%d%%%d = %d', x, y, fmodf );
`
*
`c`
#include "stdlib/math/base/special/fmodf.h"
#### stdlib_base_fmodf( x, y )
Evaluates the [Modulus function][modulus-function] for single-precision floating-point numbers.
`c
float out = stdlib_base_fmodf( 8.9f, 3.0f );
// returns 2.9f
out = stdlib_base_fmodf( 4.0f, 2.0f );
// returns 0.0f
`
The function accepts the following arguments:
- x: [in] float dividend.[in] float
- y: divisor.
`c`
float stdlib_base_fmodf( const float x, const float y );
`c
#include "stdlib/math/base/special/fmodf.h"
#include
#include
int main( void ) {
float x[ 100 ];
float y[ 100 ];
float out;
int i;
for ( i = 0; i < 100; i++ ) {
x[ i ] = ( ( (float)rand() / (float)RAND_MAX ) * 10.0f );
y[ i ] = ( ( (float)rand() / (float)RAND_MAX ) * 10.0f ) - 5.0f;
}
for ( i = 0; i < 100; i++ ) {
out = stdlib_base_fmodf( x[ i ], y[ i ] );
printf( "fmodf(%f, %f) = %f\n", x[ i ], y[ i ], out );
}
}
`
*
This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].
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---
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[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules
[deno-url]: https://github.com/stdlib-js/math-base-special-fmodf/tree/deno
[deno-readme]: https://github.com/stdlib-js/math-base-special-fmodf/blob/deno/README.md
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[branches-url]: https://github.com/stdlib-js/math-base-special-fmodf/blob/main/branches.md
[modulus-function]: https://en.wikipedia.org/wiki/Remainder