AbstractA set of algorithms for solution updating due to large changes in system parameters is derived. The algorithms are derived by partitioning the changes in the values of the elements from the remainder of the system and then applying tearing procedures to solve tthe partitioned system of equations. The algorithms obtained include new ones as well as most of the previously proposed ones for solving this problem. Sparse matrix solution techniques are used whenever possible, and the computational requirements of the algorithms are assessed and compared.