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Compute the inverse hyperbolic cotangent of a double-precision floating-point number.
To use in Observable,
acoth = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-acoth@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var acoth = require( 'path/to/vendor/umd/math-base-special-acoth/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-acoth@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.acoth;
})();
</script>Computes the inverse hyperbolic cotangent of a double-precision floating-point number.
var v = acoth( 2.0 );
// returns ~0.5493
v = acoth( 1.0 );
// returns InfinityThe domain of the inverse hyperbolic cotangent is the union of the intervals (-inf,-1] and [1,inf). If provided a value on the open interval (-1,1), the function returns NaN.
var v = acoth( 0.0 );
// returns NaN
v = acoth( 0.5 );
// 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-acoth@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var x = linspace( 1.0, 5.0, 100 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( acoth( x[ i ] ) );
}
})();
</script>
</body>
</html>@stdlib/math-base/special/acosh: compute the hyperbolic arccosine of a double-precision floating-point number.@stdlib/math-base/special/acot: compute the inverse cotangent.@stdlib/math-base/special/asinh: compute the hyperbolic arcsine of a double-precision floating-point number.@stdlib/math-base/special/atanh: compute the hyperbolic arctangent of a double-precision floating-point number.
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.
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See LICENSE.
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