Reduction of the dimension of the gradient vector in network synthesis

In network synthesis, most of the gradient components of the error functional have to be calculated through integration. If antimetrical networks are introduced, the gradient components with respect to evey dual pair of circuit parameters are linearly dependent on each other. Thus only half the number of integrators for gradient calculation have to be introduced, which leads to a substantial reduction in computation time.