add

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

Installation

npm install @stdlib/number-float64-base-add

Usage

var add = require( '@stdlib/number-float64-base-add' );

add( x, y )

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

var v = add( -1.0, 5.0 );
// returns 4.0

v = add( 2.0, 5.0 );
// returns 7.0

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

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

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

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var add = require( '@stdlib/number-float64-base-add' );

// Create arrays of random values:
var x = discreteUniform( 100, -50, 50 );
var y = discreteUniform( 100, -50, 50 );

// Perform element-wise addition:
logEachMap( '%d + %d = %d', x, y, add );

C APIs

Usage

#include "stdlib/number/float64/base/add.h"

stdlib_base_float64_add( x, y )

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

double v = stdlib_base_float64_add( -5.0, 2.0 );
// returns -3.0

The function accepts the following arguments:

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

double stdlib_base_float64_add( const double x, const double y );

Examples

#include "stdlib/number/float64/base/add.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 };

    double z;
    int i;
    for ( i = 0; i < 4; i++ ) {
        z = stdlib_base_float64_add( x[ i ], y[ i ] );
        printf( "%lf + %lf = %lf\n", x[ i ], y[ i ], z );
    }
}

See Also

• @stdlib/number-float64/base/div: divide two double-precision floating-point numbers.
• @stdlib/number-float64/base/mul: multiply two double-precision floating-point numbers.
• @stdlib/number-float64/base/sub: subtract two double-precision floating-point numbers.

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.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.