A reduced linearization method for solving problems of nonlinear optimization

An approach to solving a problem of optimization with constraints is proposed. An algorithm based on a synthesis of such methods as the separation of variables, the dimension reduction, and the method of reducing the original problem to an auxiliary one. A number of applicability conditions for this algorithm and a convergence theorem are formulated.