SLDM uses the Lanczos algorithm to calculate approximations of the modes (eigenvalues and eigenvectors) of the matrix associated with the problem. These are used for field estimation for a given frequency. This technique is particularly useful when the problem involves large and sparse matrices as it reduces the size of the initial problem.
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SLDM uses the Lanczos algorithm to calculate approximations of the modes (eigenvalues and eigenvectors) of the matrix associated with the problem. These are used for field estimation for a given frequency. This technique is particularly useful when the problem involves large and sparse matrices as it reduces the size of the initial problem.
wnods/Spectral-Lanczos-Modelling-Multifrequencial
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SLDM uses the Lanczos algorithm to calculate approximations of the modes (eigenvalues and eigenvectors) of the matrix associated with the problem. These are used for field estimation for a given frequency. This technique is particularly useful when the problem involves large and sparse matrices as it reduces the size of the initial problem.
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