  We focus on the linear convergence of generalized proximal point algorithms
for solving monotone inclusion problems. Under the assumption that the
associated monotone operator is metrically subregular or that the inverse of
the monotone operator is Lipschitz continuous, we provide Q-linear and R-linear
convergence results on generalized proximal point algorithms. Comparisons
between our results and related ones in the literature are presented in remarks
of this work.
