acsch

Compute the hyperbolic arccosecant of a number.

Installation

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

Usage

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

acsch( x )

Computes the hyperbolic arccosecant of x.

var v = acsch( 0.0 );
// returns Infinity

v = acsch( -0.0 );
// returns -Infinity

v = acsch( 1.0 );
// returns ~0.881

v = acsch( -1.0 );
// returns ~-0.881

v = acsch( NaN );
// returns NaN

v = acsch( -Infinity );
// returns -0.0

v = acsch( Infinity );
// returns 0.0

Examples

var linspace = require( '@stdlib/array-base-linspace' );
var acsch = require( '@stdlib/math-base-special-acsch' );

var x = linspace( -5.0, 5.0, 100 );

var i;
for ( i = 0; i < x.length; i++ ) {
    console.log( acsch( x[ i ] ) );
}

C APIs

Usage

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

stdlib_base_acsch( x )

Compute the hyperbolic arccosecant of a double-precision floating-point number.

double out = stdlib_base_acsch( 1.0 );
// returns ~0.881

The function accepts the following arguments:

• x: [in] double input value.

double stdlib_base_acsch( const double x );

Examples

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

int main( void ) {
    const double x[] = { -5.0, -3.89, -2.78, -1.67, -0.55, 0.55, 1.67, 2.78, 3.89, 5.0 };
    
    double v;
    int i;
    for ( i = 0; i < 10; i++ ) {
        v = stdlib_base_acsch( x[ i ] );
        printf( "acsch(%lf) = %lf\n", x[ i ], v );
    }
}

See Also

• @stdlib/math-base/special/acoth: compute the inverse hyperbolic cotangent.
• @stdlib/math-base/special/acsc: compute the arccosecant of a number.
• @stdlib/math-base/special/asech: compute the hyperbolic arcsecant of a number.
• @stdlib/math-base/special/asinh: compute the hyperbolic arcsine of a double-precision floating-point number.
• @stdlib/math-base/special/csc: compute the cosecant of a number.
• @stdlib/math-base/special/csch: compute the hyperbolic cosecant of a number.

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.