Fernando Martinez, Tao Li, et al.
ICLR 2026
A method for computing the desired eigenvalues and corresponding eigenvectors of a large-scale, nonsymmetric, complex generalized eigenvalue problem is described. This scheme is primarily intended for the normal mode analysis and the stability characterization of the stationary states of parameterized time-dependent partial differential equations, in particular, when a finite element method is used for the numerical discretization. The algorithm, which is based on the previous work of Saad, may be succintly described as a multiple shift-and-invert, restarted Arnoldi procedure which uses reorthogonalization and automatic shift selection to provide stability and convergence, while minimizing the overall computational effort. The application and efficiency of the method is illustrated using two representative test problems. © 1992.
Fernando Martinez, Tao Li, et al.
ICLR 2026
Minghong Fang, Zifan Zhang, et al.
CCS 2024
William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
Chai Wah Wu
Linear Algebra and Its Applications