Efficient algorithms for solving modified matrix equations of linear systems

Multiparameter change in linear algebraic systems is investigated systematically by a parameter matrix decomposition of the modified system interaction matrix. Transformation of the corresponding modified response matrix to a parameter representation considerably reduces the computation of system response. Three highly efficient response change algorithms are formulated and critically compared.