Eigenvalue bounds for matrices.
| dc.contributor.advisor | Singh, Pravin. | |
| dc.contributor.advisor | Singh, Virath Sewnath. | |
| dc.contributor.author | Khambule, Pretty Nombuyiselo. | |
| dc.date.accessioned | 2018-10-15T12:18:58Z | |
| dc.date.available | 2018-10-15T12:18:58Z | |
| dc.date.created | 2018 | |
| dc.date.issued | 2018 | |
| dc.description | Master of Science in Applied Mathematics, University of KwaZulu-Natal, Westville, 2018. | en_US |
| dc.description.abstract | Eigenvalues are characteristic of linear operators. Once the spectrum of a matrix is known then its Jordan Canonical form can be determined which simplifies the un- derstanding of the matrix. For large matrices and spectral analysis sometimes it is only necessary to know the eigenvalues of smallest and largest absolute values. Hence we consider various strategies of bounding the spectrum in the complex plane. Such bounds may be numerically improved by various algorithms. The minimal and maximal eigenvalues are crucial to determine the condition number of linear systems. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10413/15642 | |
| dc.language.iso | en_ZA | en_US |
| dc.subject.other | Eigenvalues. | en_US |
| dc.subject.other | Matrices. | en_US |
| dc.subject.other | Jordan canonical. | en_US |
| dc.subject.other | Spectral analysis. | en_US |
| dc.subject.other | Spectrum. | en_US |
| dc.title | Eigenvalue bounds for matrices. | en_US |
| dc.type | Thesis | en_US |
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