Name
Abstract | ||
|---|---|---|
The truncated ULV decomposition (TULVD) provides good approximation to subspaces for the data matrix and can be modified quickly to reflect changes in the data. It also reveals the rank of the matrix. We develop an updating routine that is suitable for large scaled matrices of low rank. Numerical results presented that illustrate the accuracy of the algorithm. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.amc.2005.04.072 | Applied Mathematics and Computation |
Keywords | Field | DocType |
low-rank real-time system,subspace tracking,subspaces estimation,modifying decompositions,numerical result,truncated ulv decomposition,low rank,good approximation,data matrix,real time systems | Subspace topology,Matrix (mathematics),Algorithm,Linear subspace,Decomposition method (constraint satisfaction),Real-time operating system,Numerical approximation,Numerical analysis,Mathematics | Journal |
Volume | Issue | ISSN |
173 | 2 | Applied Mathematics and Computation |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasan Erbay | 1 | 11 | 5.32 |