- Title
- Conditions for global minimum through abstract convexity
- Creator
- Sharikov, Evgenii
- Date
- 2008
- Type
- Text; Thesis; PhD
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/45930
- Identifier
- vital:3459
- Identifier
- https://library.federation.edu.au/record=b1449208~S4
- Abstract
- The theory of abstract convexity generalizes ideas of convex analysis by using the notion of global supports and the global definition of subdifferential. In order to apply this theory to optimization, we need to extend subdifferential calculus and separation properties into the area of abstract convexity.; Doctor of Philosophy
- Publisher
- University of Ballarat
- Rights
- Copyright Evgenii Sharikov
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Functional analysis; Convex functions; Mathematical optimization; Australian Digital Thesis
- Full Text
- Hits: 2754
- Visitors: 2243
- Downloads: 103
Thumbnail | File | Description | Size | Format | |||
---|---|---|---|---|---|---|---|
View Details Download | SOURCE1 | Australian Digital Thesis | 3 MB | Adobe Acrobat PDF | View Details Download |