Efficient computation of large change multiparameter sensitivity

In many applications, a network has to be solved repeatedly while certain element values are changed. The computation is reduced significantly if the network functions are generated in terms of these variable parameters explicitly. This paper presents a method of doing this which requires the solution of the network with at most m+1 excitations when there are m variable parameters.