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A comparison of Lanczos and optimization methods in the partial solution of sparse symmetric eigenproblems

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Publication:4285096
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DOI10.1002/nme.1620370405zbMath0796.65047OpenAlexW2103270577WikidataQ62925979 ScholiaQ62925979MaRDI QIDQ4285096

Mario Putti, Giuseppe Gambolati

Publication date: 10 October 1994

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.1620370405


zbMATH Keywords

convergenceeigenvalueLanczos methodlarge sparse symmetric matricesdeflation-accelerated conjugate gradient method


Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15)


Related Items

CONJUGATE GRADIENT METHODS FOR SOLVING THE SMALLEST EIGENPAIR OF LARGE SYMMETRIC EIGENVALUE PROBLEMS ⋮ A Numerical Study of Eigenvalues of the Hyperbolic Laplacian for Polyhedra with One Cusp



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