mvbeta

lmvbeta

The multivariate Beta function (<code>mvbeta</code>) and
 its logarithm (<code>lmvbeta</code>).

Evaluates the hypergeometric functions of a matrix argument,
which appear in random matrix theory. This is an implementation of
Koev & Edelman's algorithm (2006) <doi:10.1090/S0025-5718-06-01824-2>.

Stc3<a9>phane Laurent

HypergeoMat

Hypergeometric Function of a Matrix Argument

mvbeta function

<dl><dt>a, b</dt>
<dd>real or complex numbers with <code>Re(a)&gt;0</code> and <code>Re(b)&gt;0</code></dd>
<dt>p</dt>
<dd>a positive integer, the dimension</dd></dl>

Arguments

Multivariate Beta function (of complex variable) — mvbeta

<dl>

<dt>a, b</dt>
<dd>real or complex numbers with <code>Re(a)&gt;0</code> and <code>Re(b)&gt;0</code></dd>


<dt>p</dt>
<dd>a positive integer, the dimension</dd>

</dl>

mvbeta: Multivariate Beta function (of complex variable)

Description

Usage

Value

Arguments

Examples