0.2.1 • Published 3 months ago

@stdlib/math-base-ops-div v0.2.1

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License
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Repository
github
Last release
3 months ago

div

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Divide two double-precision floating-point numbers.

Installation

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

Usage

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

div( x, y )

Divides two double-precision floating-point numbers.

var v = div( -1.0, 5.0 );
// returns -0.2

v = div( 2.0, 5.0 );
// returns 0.4

v = div( 0.0, 5.0 );
// returns 0.0

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

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

Examples

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

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, div( x, y ) );
}

C APIs

Usage

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

stdlib_base_div( x, y )

Divides two double-precision floating-point numbers.

double v = stdlib_base_div( -5.0, 2.0 );
// returns -2.5

The function accepts the following arguments:

  • x: [in] double first input value (dividend).
  • y: [in] double second input value (divisor).
double stdlib_base_div( const double x, const double y );

Examples

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

int main( void ) {
    const double x[] = { 3.14, -3.14, 0.0, 0.0/0.0 };
    const double y[] = { 3.14, -3.14, -5.0, 0.0/0.0 };

    double z;
    int i;
    for ( i = 0; i < 4; i++ ) {
        z = stdlib_base_div( x[ i ], y[ i ] );
        printf( "%lf / %lf = %lf\n", x[ i ], y[ i ], z );
    }
}

See Also


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.

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.