- Title
- Application of nonsmooth optimisation to data analysis
- Creator
- Ugon, Julien
- Date
- 2005
- Type
- Text; Thesis; PhD
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/41666
- Identifier
- vital:3521
- Identifier
- https://library.federation.edu.au/record=b1285475
- Abstract
- The research presented in this thesis is two-fold: on the one hand, major data mining problems are reformulated as mathematical programming problems. These problems should be carefully designed, since from their formulation depends the efficiency, perhaps the existence, of the solvers. On the other hand, optimisation methods are adapted to solve these problems, most of which are nonsmooth and nonconvex. This part is delicate, as the solution is often required to be good and obtained fast. Numerical experiments on real-world datasets are presented and analysed.; Doctor of Philosophy
- Publisher
- University of Ballarat
- Rights
- Copyright Julien Ugon
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Applied mathematics; Mathematical optimization; Case studies; Mathematical statistics; Australian Digital Thesis
- Full Text
- Hits: 4773
- Visitors: 3818
- Downloads: 114
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Australian Digital Thesis | 30 MB | Adobe Acrobat PDF | View Details Download |