A problem that often arises in system identification, the problem of robust parametric estimation, is addressed. A high efficient technique is developed for the recurrent LAV estimation. Due to the direct minimization algorithm, the proposed technique requires half as many independent variables as compared to the simplex method of linear programming, most commonly applied for the LAV estimation. The computational realization is based on the finite iterative scheme.