  Random sequential adsorption is an irreversible surface deposition of
extended objects. In systems with continuous degrees of freedom coverage
follows a power law, theta(t) = theta_J - c t^{-alpha}, where the exponent
alpha depends on the geometric shape (symmetry) of the objects. Lattice models
give typically exponential saturation to jamming coverage. We discuss how such
function theta(t) can be computed by series expansions and analyzed with Pade
approximations. We consider the applications of efficient Monte Carlo computer
simulation method (event-driven method) to random sequential adsorptions with
high precision and at very long-time scale.
