How to use QZ decomposition for single matrix in Matlab?

Can I use QZ decomposition on a single square matrix in Matlab? Like,

[Aa,Q,Z]=qz(A);


As far as I know, QZ decomposition is given for two matrices, so that for $$A,B\in \mathbb F^{n \times n}$$: $$A=QSZ^*, B=QTZ^* \tag{1} \label{QZ}$$ where $$Q,Z^*$$ are unitary, and $$S,T$$ are upper-triangular, and $$\mathbb F$$ is the field (real $$\mathbb R$$ or complex $$\mathbb C$$). QZ decomposition is usually called generalized Schur decomposition.

For a single matrix $$A\in\mathbb F^{n\times n}$$, one would simply computes Shur decomposition: $$A=Q_\text{Schur}UQ^*_\text{Schur} \tag{2} \label{Schur}$$ where $$Q_\text{Schur}$$ is unitary, and $$U$$ is upper triangular.

So the Schur decomposition $$\eqref{Schur}$$, allows "more restricted" decomposition of $$A$$, since there is no matrix $$B$$, which presence would result in a generalized QZ decomposition $$\eqref{QZ}$$ and a presence of $$Z$$.

In Matlab, Schur decomposition $$\eqref{Schur}$$ can be computed, as follows:

[Q,U] = schur(A,...)


Take a look at Matlab function help for some additional computation options. Notice a confusion between Wikipedia and this post notation choice, compared to the Matlab help page.