“…Also, if the nonlinear matrix equation (2) has a unique positive definite solution X; then there exist minimal and maximal solutions X mi n and X max ; respectively, such that 0 < X mi n Ä X Ä X max for any positive definite solution X: We will refer to X mi n and X max ; as the extreme solutions of (2). Here, when X and Y are Hermitian matrices, X > Y means that X Y is a positive definite matrix denoted X Y > 0 and X Y means that X Y is a positive semidefinite matrix denoted X Y 0: The theoretical properties of the positive definite solution X max of (2) have been investigated by many authors (see [8,14,21] and the references therein) and the available methods for computing X max are algebraic (nonrecursive) [1][2][3] and recursive algorithms concerning per step or doubling [5,7,8,13,14].…”