Modified explicitly restarted Lanczos algorithm (Q1299581)

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scientific article; zbMATH DE number 1328218
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Modified explicitly restarted Lanczos algorithm
scientific article; zbMATH DE number 1328218

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    Modified explicitly restarted Lanczos algorithm (English)
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    23 February 2000
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    Convergence acceleration and optimization in computing eigenvectors and eigenvalues of very large sparse matrices is obtained by the modified explicitly restarted Lanczos method. The proposed algorithm can calculate the multiplicities of eigenvalues, the required memory is small, and it can be easily implemented. It can calculate more eigenstates than the Davidson algorithm. Numerical tests are carried out in one-dimensional extended Hubbard chains. Multiplicities of eigenvalues are computed, and convergence is tested.
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    numerical examples
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    comparison of methods
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    convergence acceleration
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    eigenvectors
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    eigenvalues
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    large sparse matrices
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    restarted Lanczos method
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    algorithm
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    Davidson algorithm
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    Hubbard chains
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    convergence
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