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A Compact Heart Iteration for Large Eigenvalues Problems
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作者 Achiya Dax 《Advances in Linear Algebra & Matrix Theory》 2022年第1期24-38,共15页
In this paper, we present a compact version of the Heart iteration. One that requires less matrix-vector products per iteration and attains faster convergence. The Heart iteration is a new type of Restarted Krylov met... In this paper, we present a compact version of the Heart iteration. One that requires less matrix-vector products per iteration and attains faster convergence. The Heart iteration is a new type of Restarted Krylov methods for calculating peripheral eigenvalues of symmetric matrices. The new framework avoids the Lanczos tridiagonalization process and the use of implicit restarts. This simplifies the restarting mechanism and allows the introduction of several modifications. Convergence is assured by a monotonicity property that pushes the computed Ritz values toward their limits. Numerical experiments illustrate the usefulness of the proposed approach. 展开更多
关键词 Large Sparse Matrices Restarted Krylov Methods Exterior Eigenvalues Symmetric Matrices MONOTONICITY Starting Vectors
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