@stdlib/math-base-ops-add3 NPM

add3

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

Compute the sum of three double-precision floating-point numbers.

Installation

npm install @stdlib/math-base-ops-add3

Usage

var add3 = require( '@stdlib/math-base-ops-add3' );

add3( x, y, z )

Computes the sum of three double-precision floating-point numbers.

var v = add3( -1.0, 5.0, 2.0 );
// returns 6.0

v = add3( 2.0, 5.0, 2.0 );
// returns 9.0

v = add3( 0.0, 5.0, 2.0 );
// returns 7.0

v = add3( -0.0, 0.0, 0.0 );
// returns 0.0

v = add3( NaN, NaN, NaN );
// returns NaN

Examples

var rand = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filledBy = require( '@stdlib/array-base-filled-by' );
var add3 = require( '@stdlib/math-base-ops-add3' );

var x = filledBy( 100, rand( -50, 50 ) );
var y = filledBy( x.length, rand( -50, 50 ) );
var z = filledBy( x.length, rand( -50, 50 ) );

var i;
for ( i = 0; i < x.length; i++ ) {
    console.log( '%d + %d + %d = %d', x[i], y[i], z[i], add3( x[i], y[i], z[i] ) );
}

C APIs

Usage

#include "stdlib/math/base/ops/add3.h"

stdlib_base_add3( x, y, z )

Computes the sum of three double-precision floating-point numbers.

double out = stdlib_base_add3( -5.0, 2.0, 4.0 );
// returns 1.0

The function accepts the following arguments:

x: [in] double first input value.
y: [in] double second input value.
z: [in] double third input value.

double stdlib_base_add3( const double x, const double y, const double z );

Examples

#include "stdlib/math/base/ops/add3.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, -0.0, 0.0/0.0 };
    const double z[] = { 2.0, -3.0, -0.0, 0.0/0.0 };

    double out;
    int i;
    for ( i = 0; i < 4; i++ ) {
        out = stdlib_base_add3( x[ i ], y[ i ], z[ i ] );
        printf( "%lf + %lf + %lf = %lf\n", x[ i ], y[ i ], z[ i ], out );
    }
}

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.