Let {$X_{ni}$ | $1{leq}i{leq}n,;n{geq}1$} be an array of rowwise negatively dependent (ND) random variables. We in this paper discuss the conditions of ${sum}^n_{t=1}a_{ni}X_{ni}{ ightarrow}0$ completely as $n{ ightarrow}{infty}$ under not necessarily identically distributed setting and the strong law of large numbers for weighted sums of arrays of rowwise negatively dependent random variables is also considered.