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Compute the inverse coversed cosine.
The inverse coversed cosine is defined as
To use in Observable,
acovercos = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-acovercos@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var acovercos = require( 'path/to/vendor/umd/math-base-special-acovercos/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-acovercos@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.acovercos;
})();
</script>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 ~0.4966If 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<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-base-linspace@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-acovercos@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var x = linspace( -2.0, 0.0, 100 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( acovercos( x[ i ] ) );
}
})();
</script>
</body>
</html>@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.
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.
See LICENSE.
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