GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
CGS, a fast Lanczos-type solver for nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
SIAM Journal on Scientific and Statistical Computing
Reduction to tridiagonal form and minimal realizations
SIAM Journal on Matrix Analysis and Applications
An implementation of the look-ahead Lanczos algorithm for non-Hermitian matrices
SIAM Journal on Scientific Computing
An Efficient Implementation of the Nonsymmetric Lanczos Algorithm
SIAM Journal on Matrix Analysis and Applications
Iterative solution of linear systems in the 20th century
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. III: linear algebra
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Solving Complex-Valued Linear Systems via Equivalent Real Formulations
SIAM Journal on Scientific Computing
Preconditioning techniques for large linear systems: a survey
Journal of Computational Physics
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
An extension of the conjugate residual method to nonsymmetric linear systems
Journal of Computational and Applied Mathematics
Lanczos-type variants of the COCR method for complex nonsymmetric linear systems
Journal of Computational Physics
SIAM Journal on Scientific Computing
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This study is mainly focused on iterative solutions with simple diagonal preconditioning to two complex-valued nonsymmetric systems of linear equations arising from a computational chemistry model problem proposed by Sherry Li of NERSC. Numerical experiments show the feasibility of iterative methods to some extent when applied to the problems and reveal the competitiveness of our recently proposed Lanczos biconjugate A-orthonormalization methods to other classic and popular iterative methods. By the way, experiment results also indicate that application specific preconditioners may be mandatory and required for accelerating convergence.