Name
Abstract | ||
|---|---|---|
In this paper we start from the known lower bounds for minimal singular value of the matrices possessing certain kind of the diagonal dominance property, and derive Euclidean norm estimates of the inverses of several new subclasses of the block H-matrices. The motivation comes from applications where the matrix in question has distinguished block structure, which can be exploited to obtain useful information. An example arising from ecological modeling illustrates the benefits of the presented approach. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.amc.2016.02.048 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Block matrices,Euclidean matrix norm,Inverse matrix | Magnitude (mathematics),Mathematical optimization,Singular value,Algebra,Mathematical analysis,Matrix (mathematics),Euclidean distance,Diagonally dominant matrix,Matrix norm,Block matrix,Euclidean distance matrix,Mathematics | Journal |
Volume | Issue | ISSN |
284 | C | 0096-3003 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ljiljana Cvetković | 1 | 94 | 22.02 |
| Vladimir Kostic | 2 | 13 | 2.66 |
| Ksenija Doroslovacki | 3 | 6 | 1.40 |
| Dragana Lj. Cvetkovic | 4 | 1 | 0.75 |