Computer Methods in Applied Mechanics and Engineering
A new algorithm for numerical path following applied to an example from hydrodynamical flow
SIAM Journal on Scientific and Statistical Computing
SIAM Journal on Scientific and Statistical Computing
Factorized sparse approximate inverse preconditionings I: theory
SIAM Journal on Matrix Analysis and Applications
Variants of BICGSTAB for matrices with complex spectrum
SIAM Journal on Scientific Computing
A Sparse Approximate Inverse Preconditioner for the Conjugate Gradient Method
SIAM Journal on Scientific Computing
Constraint Preconditioning for Indefinite Linear Systems
SIAM Journal on Matrix Analysis and Applications
Preconditioning techniques for large linear systems: a survey
Journal of Computational Physics
Crout Versions of ILU for General Sparse Matrices
SIAM Journal on Scientific Computing
Efficient Preconditioning of Sequences of Nonsymmetric Linear Systems
SIAM Journal on Scientific Computing
Balanced Incomplete Factorization
SIAM Journal on Scientific Computing
Mixed Constraint Preconditioners for the iterative solution of FE coupled consolidation equations
Journal of Computational Physics
Direct computation of critical points based on Crout's elimination and diagonal subset test function
Computers and Structures
A Block FSAI-ILU Parallel Preconditioner for Symmetric Positive Definite Linear Systems
SIAM Journal on Scientific Computing
Improved Balanced Incomplete Factorization
SIAM Journal on Matrix Analysis and Applications
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Computation of critical points on an equilibrium path requires the solution of a non-linear eigenvalue problem. These critical points could be either bifurcation or limit points. When the external load is parametrized by a single parameter, the non-linear stability eigenvalue problem consists of solving the equilibrium equations along the criticality condition. Several techniques exist for solution of such a system. Their algorithmic treatment is usually focused for direct linear solvers and thus use the block elimination strategy. In this paper special emphasis is given for a strategy which can be used also with iterative linear solvers. Comparison to the block elimination strategy with direct linear solvers is given. Due to the non-uniqueness of the critical eigenmode a normalizing condition is required. In addition, for bifurcation points, the Jacobian matrix of the augmented system is singular at the critical point and additional stabilization is required in order to maintain the quadratic convergence of the Newton's method. Depending on the normalizing condition, convergence to a critical point with negative load parameter value can happen. The form of the normalizing equation is critically discussed. Due to the slenderness of the buckling sensitive structures the resulting matrices are ill-conditioned and a good preconditioner is mandatory for efficient solution.