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@stdlib/math-base-special-erfinv
Advanced tools
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The inverse error function is defined in terms of the Maclaurin series
where c_0 = 1
and
npm install @stdlib/math-base-special-erfinv
var erfinv = require( '@stdlib/math-base-special-erfinv' );
Evaluates the inverse error function.
var y = erfinv( 0.5 );
// returns ~0.4769
y = erfinv( 0.8 );
// returns ~0.9062
y = erfinv( -1.0 );
// returns -Infinity
y = erfinv( 1.0 );
// returns Infinity
The domain of x
is restricted to [-1,1]
. If |x| > 1
, the function returns NaN
.
var y = erfinv( -3.14 );
// returns NaN
If provided NaN
, the function returns NaN
.
var y = erfinv( NaN );
// returns NaN
The inverse error function is an odd function; i.e., erfinv(-x) = -erfinv(x)
. Thus, in accordance with the IEEE 754 standard, if provided -0
, the function returns -0
.
var y = erfinv( -0.0 );
// returns -0.0
var linspace = require( '@stdlib/array-base-linspace' );
var erfinv = require( '@stdlib/math-base-special-erfinv' );
var x = linspace( -1.0, 1.0, 100 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( 'x: %d, erfinv(x): %d', x[ i ], erfinv( x[ i ] ) );
}
@stdlib/math-base/special/erf
: error function.@stdlib/math-base/special/erfc
: complementary error function.@stdlib/math-base/special/erfcinv
: inverse complementary error function.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.
Copyright © 2016-2024. The Stdlib Authors.
0.2.0 (2024-02-14)
No changes reported for this release.
</section> <!-- /.release --> <section class="release" id="v0.1.1">FAQs
Inverse error function.
The npm package @stdlib/math-base-special-erfinv receives a total of 4,326 weekly downloads. As such, @stdlib/math-base-special-erfinv popularity was classified as popular.
We found that @stdlib/math-base-special-erfinv demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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