over independent runs. The straight line corresponds to the critical point $a_c=1.57433(2)$ and from its slope $\beta_n/\nu_\bot \approx 0.33(2)$.](Fig1.eps "fig:"){width="8cm"} \[betanusin\]

![Model 1: time evolution of the order parameter, $\langle n(t) \rangle$, at criticality, $a=a_c$, for system sizes 100, 400, 800, and 1600. The saturation values are those of Figure 1. The best fit gives $\theta_n=0.215(15)$. The straight line is a guide for the eye and has a slope -0.215.](Fig2.eps "fig:"){width="8cm"} \[theta\]

![ Model 1: steady-state values of the oder parameter for an attractive wall, $b=-0.3$, as function of the system size $L$ for drifts (top to bottom) 1.57450, 1.57447, 1.57445, 1.57440, 1.57435, 1.57433, 1.57430, 1.57425, 1.57420. The best fit to a straight line again corresponds to $a_c=1.57433$.](Fig3.eps "fig:"){width="8cm"} \[betanucon\]

Attractive walls can also be simulated within this model by simply substituting $a$ by $a-b\delta_{h,0}$, where $b<0$ and the sign convention is chosen to keep the analogy with Eq. (\[BKPZ\]). This means that wherever the interface in attached to the wall it experiences an additional (“sticky”) force pushing it against the wall. Extensive Monte Carlo simulations for $b=-0.3$ show that the previous results, in what respect universal features, carry over without change, the only difference being that the approach to 