This paper proposes a block Arnoldi method for parameterized model order reduction. This method works when
design parameters have only low-rank impacts on the system matrix. The method preserves all design parameters in
the reduced model and is easy to implement. Numerical results show that the block Arnoldi process outperforms some
existing methods up to a factor of ten.