Let \(N=\{1,\ldots,n\}\) be the set of claimants, \(E\ge 0\) the endowment to be divided and \(d\in \mathbb{R}_+^N\) the vector of claims
such that \(\sum_{i \in N} d_i\ge E\).
A vector \(x=(x_1,\dots,x_n)\) is an awards vector for the claims problem \((E,d)\) if \(0\le x \le d\)
and satisfies the balance requirement, that is, \(\sum_{i=1}^{n}x_i=E\).
Let \(X(E,d)\) be the set of awards vectors for \((E,d)\).
Let \(\mu\) be the \((n-1)\)-dimensional Lebesgue measure. We define by \(V(E,d)=\mu (X(E,d))\) the
measure (volume) of the set of awards \(X(E,d)\) and \(\hat{V}(E,d)\) the volume of the projection onto an (\(n-1)\)-dimensional space.
$$V(E,d)=\sqrt{n}\hat{V}(E,d).$$
The function is programmed following the procedure explained in Mirás Calvo et al. (2024b).