Arccovercosine

Compute the inverse coversed cosine.

The inverse coversed cosine is defined as

Installation

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

Usage

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

acovercos( x )

Computes the inverse coversed cosine.

var v = acovercos( 0.0 );
// returns ~1.5708

v = acovercos( -3.141592653589793/2.0 );
// returns ~-0.6075

v = acovercos( -3.141592653589793/6.0 );
// returns ~0.4966

If x < -2, x > 0, or x is NaN, the function returns NaN.

var v = acovercos( 1.0 );
// returns NaN

v = acovercos( -3.14 );
// returns NaN

v = acovercos( NaN );
// returns NaN

Examples

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

var x = linspace( -2.0, 0.0, 100 );

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

C APIs

Usage

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

stdlib_base_acovercos( x )

Computes the inverse coversed cosine of a double-precision floating-point number.

double out = stdlib_base_acovercos( -3.141592653589793/2.0 );
// returns ~-0.6075

The function accepts the following arguments:

• x: [in] double input value.

double stdlib_base_acovercos( const double x );

Examples

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

int main( void ) {
    const double x[] = { -2.0, -1.80, -1.78, -1.67, -0.56, -0.27, -1.67, -0.78, -1.89, 0.0 };
    
    double v;
    int i;
    for ( i = 0; i < 10; i++ ) {
        v = stdlib_base_acovercos( x[ i ] );
        printf( "acovercos(%lf) = %lf\n", x[ i ], v );
    }
}

See Also

• @stdlib/math-base/special/acoversin: compute the inverse coversed sine.
• @stdlib/math-base/special/avercos: compute the inverse versed cosine.
• @stdlib/math-base/special/covercos: compute the coversed cosine.
• @stdlib/math-base/special/vercos: compute the versed cosine.

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.