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We propose a FEM full-wave simulation tools with parameterized model order reduction technique in this letter. The construction of the reduced model involves the inverse of a large sparse FEM matrix which is enhanced by the H-LU decomposition direct method. A WR90 waveguide with a dielectric post inside considering the change of the design parameters of the frequency and dielectric constant is simulated...
In order to efficiently and accurately analyze the scattering of multilayer microstrip structures, the matrix decomposition algorithm — singular value decomposition (MDA-SVD) is used to accelerate the matrix-vector multiplication operations. MDA-SVD is purely algebraic; hence, its formulation and implementation are integral equation kernel independent. It utilizes the SVD algorithm to reduce the memory...
A H-LU decomposition-based direct method enhanced second-order Krylov subspace projection based model order reduction (MOR) is presented. The construction of the projection matrix is the most important process in the Krylov subspace projection based MOR where an inverse of the sparse matrix is involved in the construction of the projection matrix. It will be intractable for the computational capacity...
A spectral multiresolution (MR) preconditioner combined with Sparse-Matrix/Canonical Grid Method (SMCG) is developed for fast analysis of microstrip circuits structures. The SMCG is used to speed up the matrix-vector product operations. The spectral MR preconditioner combined with a diagonal preconditioning is employed to achieve the fast convergence rate by augmenting to the generalized minimal residual...
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