Name
Title | ||
|---|---|---|
An efficient algorithm based on Lanczos type of BCR to solve constrained quadratic inverse eigenvalue problems. |
Abstract | ||
|---|---|---|
This paper proposes the Lanczos type of biconjugate residual (BCR) algorithm for solving the quadratic inverse eigenvalue problem L2XΛ2+L1XΛ+L0X=0 where L2, L1 and L0 should be partially bisymmetric under a prescribed submatrix constraint. An analysis reveals that the algorithm obtains the solutions of the constrained quadratic inverse eigenvalue problem in finitely many steps in the absence of round-off errors. Finally numerical results are performed to confirm the analysis and to illustrate the efficiency of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cam.2018.07.025 | Journal of Computational and Applied Mathematics |
Keywords | Field | DocType |
15A29,65J22,65F18,65F10 | Residual,Inverse,Lanczos resampling,Mathematical analysis,Quadratic equation,Algorithm,Eigenvalues and eigenvectors,Mathematics | Journal |
Volume | ISSN | Citations |
346 | 0377-0427 | 0 |
PageRank | References | Authors |
0.34 | 18 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masoud Hajarian | 1 | 345 | 24.18 |