Alternating direction implicit iteration for systems with complex spectra
SIAM Journal on Numerical Analysis
Incremental unknowns for solving partial differential equations
Numerische Mathematik
A parallel alternating direction implicit preconditioning method
Journal of Computational and Applied Mathematics
Incremental unknowns in finite differences: condition number of the matrix
SIAM Journal on Matrix Analysis and Applications
Alternating direction preconditioning for nonsymmetric systems of linear equations
SIAM Journal on Scientific Computing
Algebraic Analysis of the Hierarchical Basis Preconditioner
SIAM Journal on Matrix Analysis and Applications
A new class of parallel alternating-type iterative methods
Journal of Computational and Applied Mathematics - Special issue on TICAM symposium
Multiparameter Iterative Schemes for the Solution of Systems of Linear and Nonlinear Equations
SIAM Journal on Scientific Computing
Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems
SIAM Journal on Matrix Analysis and Applications
Block incremental unknowns for anisotropic elliptic equations
Applied Numerical Mathematics
Low-Rank Solution of Lyapunov Equations
SIAM Review
ADI Method: domain decomposition
Applied Numerical Mathematics
High-Order Compact ADI Methods for Parabolic Equations
Computers & Mathematics with Applications
A fourth-order compact ADI method for solving two-dimensional unsteady convection-diffusion problems
Journal of Computational and Applied Mathematics
Stationary biparametric ADI preconditioners for conjugate gradient methods
Journal of Computational and Applied Mathematics
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Bi-parameter incremental unknowns (IU) alternating directional implicit (ADI) iterative methods are proposed for solving elliptic problems. Condition numbers of the coefficient matrices for these iterative schemes are carefully estimated. Theoretical analysis shows that the condition numbers are reduced significantly by IU method, and the iterative sequences produced by the bi-parameter incremental unknowns ADI methods converge to the unique solution of the linear system if the two parameters belong to a given parameter region. Numerical examples are presented to illustrate the correctness of the theoretical analysis and the effectiveness of the bi-parameter incremental unknowns ADI methods.