  In this paper we present an inexact stepsize selection for the Diluted R\rho
R algorithm, used to obtain the maximum likelihood estimate to the density
matrix in quantum state tomography. We give a new interpretation for the
diluted R\rho R iterations that allows us to prove the global convergence under
weaker assumptions. Thus, we propose a new algorithm which is globally
convergent and suitable for practical implementation.
