acoshf

Compute the hyperbolic arccosine of a single-precision floating-point number.

Installation

npm install @stdlib/math-base-special-acoshf

Usage

var acoshf = require( '@stdlib/math-base-special-acoshf' );

acoshf( x )

Computes the hyperbolic arccosine of a single-precision floating-point number.

var v = acoshf( 1.0 );
// returns 0.0

v = acoshf( 2.0 );
// returns ~1.317

v = acoshf( 0.5 );
// returns NaN

The domain of x is restricted to [1,+infinity). If x < 1, the function will return NaN.

var v = acoshf( 0.0 );
// returns NaN

Examples

var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var acoshf = require( '@stdlib/math-base-special-acoshf' );

var opts = {
    'dtype': 'float32'
};
var x = uniform( 100, 1.0, 100.0, opts );

logEachMap( 'acoshf(%0.4f) = %0.4f', x, acoshf );

C APIs

Usage

#include "stdlib/math/base/special/acoshf.h"

stdlib_base_acoshf( x )

Computes the hyperbolic arccosine of a single-precision floating-point number.

float out = stdlib_base_acoshf( 1.0f );
// returns 0.0f

out = stdlib_base_acoshf( 2.0f );
// returns ~1.317f

The function accepts the following arguments:

• x: [in] float input value.

float stdlib_base_acoshf( const float x );

Examples

#include "stdlib/math/base/special/acoshf.h"
#include <stdlib.h>
#include <stdio.h>

int main( void ) {
    float x;
    float v;
    int i;

    for ( i = 0; i < 100; i++ ) {
        x = ( (float)rand() / (float)RAND_MAX ) * 100.0f;
        v = stdlib_base_acoshf( x );
        printf( "acoshf(%f) = %f\n", x, v );
    }
}

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

Copyright

Copyright © 2016-2026. The Stdlib Authors.