This paper describes a mixed real/complex sparse matrix factorization
and solution scheme applied to a large matrix problem. Large system ei
genanalysis and frequency domain methods will directly benefit from th
e proposed scheme, which can reduce both memory and CPU time requireme
nts when compared to conventional complex-only solutions. The applicat
ion in hand is the small signal electromechanical stability analysis o
f large power systems. The savings obtained are significant considerin
g the CPU intensive nature of these matrix problems.