A Krylov-Schur approach to the truncated SVD
Computing a small number of singular values is required in many practical applications and it is therefore desirable to have efficient and robust methods that can generate such truncated singular value decompositions. A new method based on the Lanczos bidiagonalization and the Krylov-Schur method is...
Tác giả chính: | Stoll, M |
---|---|
Định dạng: | Report |
Được phát hành: |
Unspecified
2008
|
Những quyển sách tương tự
-
A Hamiltonian Krylov-Schur-type method based on the
symplectic Lanczos process
Bằng: Benner, P, et al.
Được phát hành: (2009) -
A Hamiltonian Krylov-Schur-type method based on the symplectic Lanczos process
Bằng: Benner, P, et al.
Được phát hành: (2009) -
Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
Bằng: Dario Mangoni, et al.
Được phát hành: (2023-02-01) -
SVD-Krylov based techniques for structure-preserving reduced order modelling of second-order systems
Bằng: Md. Motlubar Rahman, et al.
Được phát hành: (2021-06-01) -
Correction: SVD-Krylov based techniques for structure-preserving reduced order modelling of second-order systems
Bằng: Md. Motlubar Rahman, et al.
Được phát hành: (2021-08-01)