@stdlib/math-base-ops-subf NPM

subf

$NPM version$ $Build Status$ $Coverage Status$

Subtract two single-precision floating-point numbers.

Installation

npm install @stdlib/math-base-ops-subf

Usage

var subf = require( '@stdlib/math-base-ops-subf' );

subf( x, y )

Subtracts two single-precision floating-point numbers.

var v = subf( -1.0, 5.0 );
// returns -6.0

v = subf( 2.0, 5.0 );
// returns -3.0

v = subf( 0.0, 5.0 );
// returns -5.0

v = subf( -0.0, 0.0 );
// returns -0.0

v = subf( NaN, NaN );
// returns NaN

Examples

var rand = require( '@stdlib/random-base-discrete-uniform' );
var subf = require( '@stdlib/math-base-ops-subf' );

var x;
var y;
var i;

for ( i = 0; i < 100; i++ ) {
    x = rand( -50, 50 );
    y = rand( -50, 50 );
    console.log( '%d - %d = %d', x, y, subf( x, y ) );
}

C APIs

Usage

#include "stdlib/math/base/ops/subf.h"

stdlib_base_subf( x, y )

Subtracts two single-precision floating-point numbers.

float v = stdlib_base_sub( -5.0f, 2.0f );
// returns -7.0f

The function accepts the following arguments:

x: [in] float first input value.
y: [in] float second input value.

float stdlib_base_sub( const float x, const float y );

Examples

#include "stdlib/math/base/ops/subf.h"
#include <stdio.h>

int main( void ) {
    const float x[] = { 3.14f, -3.14f, 0.0f, 0.0f/0.0f };
    const float y[] = { 3.14f, -3.14f, -0.0f, 0.0f/0.0f };

    float z;
    int i;
    for ( i = 0; i < 4; i++ ) {
        z = stdlib_base_subf( x[ i ], y[ i ] );
        printf( "%f - %f = %f\n", x[ i ], y[ i ], z );
    }
}

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.