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Large, sparse, non-symmetric matrices are involved.
This matrix is very large, sparse, real, and nonsymmetric.
The discrete model is a non-linear, large, sparse and stiff system of coupled differential equations.
Large sparse strongly nonlinear algebraic systems are to be solved per time step.
The resulting large sparse linear system is then solved by a multigrid technique.
The resulting generalized matrix eigenvalue problem is large, sparse and non-Hermitian.
A large sparse system of linear equations is resulted by using the least-squares technique.
We employ Anderson extrapolation to accelerate the classical Jacobi iterative method for large, sparse linear systems.
The large sparse matrix for our linear system also has nice structure and properties.
Preconditioning the Jacobi Davidson correction equation is mandatory when large, sparse matrices are analyzed.
This study focused on the weakly nonlinear complementarity problems with a large sparse matrix.
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