Divide and conquer algorithms for the bandsymmetric eigenvalue problem

Author:

Arbenz Peter

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference37 articles.

1. Divide-and-conquer algorithms for the computation of the SVD of bidiagonal matrices;Arbenz,1989

2. Computing eigenvalues of banded symmetric Toeplitz matrices;Arbenz;SIAM J. Sci. Stat. Comput.,1991

3. Restricted rank modification of the symmetric eigenvalue problem: Theoretical considerations;Arbenz;Linear Algebra Appl.,1988

4. On the spectral decomposition of Hermitian matrices modified by low rank perturbations with applications;Arbenz;SIAM J. Matrix Anal. Appl.,1988

5. On a block implementation of Hessenberg multishift QR iteration;Bai;Internat. J. High Speed Comput.,1989

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1. Polynomial-Time Algorithms for Continuous Metrics on Atomic Clouds of Unordered Points;Match - Communications in Mathematical and in Computer Chemistry;2023-10

2. SuperDC: Superfast Divide-And-Conquer Eigenvalue Decomposition With Improved Stability for Rank-Structured Matrices;SIAM Journal on Scientific Computing;2022-09-22

3. A parallel structured banded DC algorithm for symmetric eigenvalue problems;CCF Transactions on High Performance Computing;2022-08-11

4. A fast spectral divide‐and‐conquer method for banded matrices;Numerical Linear Algebra with Applications;2021-03-08

5. A Parallel Structured Divide-and-Conquer Algorithm for Symmetric Tridiagonal Eigenvalue Problems;IEEE Transactions on Parallel and Distributed Systems;2021-02-01

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