We study iterative methods for finding the maximal Hermitian positive defin
ite solutions of the matrix equations X + A*X-1 A = Q and X - A*X-1 A = Q,
where Q is Hermitian positive definite. General convergence results are giv
en for the basic fixed point iteration for both equations. Newton's method
and inversion free variants of the basic fixed point iteration are discusse
d in some detail for the first equation. Numerical results are reported to
illustrate the convergence behaviour of various algorithms.