| Article ID: | iaor20072084 |
| Country: | United States |
| Volume: | 28 |
| Issue: | 4 |
| Start Page Number: | 677 |
| End Page Number: | 692 |
| Publication Date: | Nov 2003 |
| Journal: | Mathematics of Operations Research |
| Authors: | Shapiro Alexander |
| Keywords: | programming: convex |
We discuss in this paper a class of nonsmooth functions which can be represented, in a neighborhood of a considered point, as a composition of a positively homogeneous convex function and a smooth mapping which maps the considered point into the null vector. We argue that this is a sufficiently rich class of functions and that such functions have various properties useful for purposes of optimization.