Name
Title | ||
|---|---|---|
The least squares anti-bisymmetric solution and the optimal approximation solution for Sylvester equation |
Abstract | ||
|---|---|---|
In this paper, a modified conjugate gradient iterative method for solving Sylvester equation is presented. By using this iterative method, the least squares anti-bisymmetric solution and the optimal approximation solution can be obtained. Here we present the derivation and theoretical analysis of our iterative method. Numerical results illustrate the feasibility and effectiveness of the proposed iterative method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.amc.2015.02.056 | Applied Mathematics and Computation |
Keywords | Field | DocType |
modified conjugate iterative method,anti-bisymmetric matrix,least squares solution,optimal approximation,sylvester equation | Conjugate gradient method,Least squares,Mathematical optimization,Sylvester equation,Mathematical analysis,Iterative method,Non-linear iterative partial least squares,Local convergence,Mathematics,Derivation of the conjugate gradient method | Journal |
Volume | Issue | ISSN |
259 | C | 0096-3003 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li-Ying Hu | 1 | 2 | 1.05 |
| Gong-De Guo | 2 | 2 | 1.05 |
| Changfeng Ma | 3 | 197 | 29.63 |