Spectral analysis of a new preconditioner for generalized saddle point linear systems

In this paper, we generalize the block splitting preconditioner presented by Cao to a two-parameter preconditioner for solving generalized saddle point linear systems and prove that the eigenvalues of the corresponding preconditioned matrix are only clustered at two points when the iteration parameters approach zero. Numerical experiments have verified the effectiveness of the theoretical results.