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Evaluate the Modulus function for single-precision floating-point numbers.
The modulus function is defined as
where x
is the dividend and y
is the divisor.
npm install @stdlib/math-base-special-fmodf
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var fmodf = require( '@stdlib/math-base-special-fmodf' );
Evaluates the Modulus function for single-precision floating-point numbers.
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
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var fmodf = require( '@stdlib/math-base-special-fmodf' );
var x = discreteUniform( 10, 0.0, 100.0 );
var y = discreteUniform( 10, -50.0, 50.0 );
var i;
for ( i = 0; i < 10; i++ ) {
console.log( '%f%%%f = %f', x[ i ], y[ i ], fmodf( x[ i ], y[ i ] ) );
}
#include "stdlib/math/base/special/fmodf.h"
Evaluates the Modulus function for single-precision floating-point numbers.
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. - y:
[in] float
divisor.
float stdlib_base_fmodf( const float x, const float y );
#include "stdlib/math/base/special/fmodf.h"
#include <stdlib.h>
#include <stdio.h>
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, 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.
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