@stdlib/math-base-ops-addf
v0.2.2
Published
Compute the sum of two single-precision floating-point numbers.
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addf
Compute the sum of two single-precision floating-point numbers.
Installation
npm install @stdlib/math-base-ops-addf
Usage
var addf = require( '@stdlib/math-base-ops-addf' );
addf( x, y )
Computes the sum of two single-precision floating-point numbers.
var v = addf( -1.0, 5.0 );
// returns 4.0
v = addf( 2.0, 5.0 );
// returns 7.0
v = addf( 0.0, 5.0 );
// returns 5.0
v = addf( -0.0, 0.0 );
// returns 0.0
v = addf( NaN, NaN );
// returns NaN
Examples
var rand = require( '@stdlib/random-base-discrete-uniform' );
var addf = require( '@stdlib/math-base-ops-addf' );
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, addf( x, y ) );
}
C APIs
Usage
#include "stdlib/math/base/ops/addf.h"
stdlib_base_addf( x, y )
Computes the sum of two single-precision floating-point numbers.
float v = stdlib_base_addf( -5.0f, 2.0f );
// returns -3.0f
The function accepts the following arguments:
- x:
[in] float
first input value. - y:
[in] float
second input value.
float stdlib_base_addf( const float x, const float y );
Examples
#include "stdlib/math/base/ops/addf.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_addf( x[ i ], y[ i ] );
printf( "%f + %f = %f\n", x[ i ], y[ i ], z );
}
}
See Also
@stdlib/math-base/ops/add
: compute the sum of two double-precision floating-point numbers.@stdlib/math-base/ops/divf
: divide two single-precision floating-point numbers.@stdlib/math-base/ops/mulf
: multiply two single-precision floating-point numbers.@stdlib/math-base/ops/subf
: subtract two single-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 © 2016-2024. The Stdlib Authors.