Sponsor
The research of this author [N. Mau Nam] was partially supported by the NSF under grant DMS-1411817.
Document Type
Pre-Print
Publication Date
6-2017
Subjects
Fréchet spaces, Convex analysis, Nonsmooth optimization, Mathematical optimization
Abstract
In recent years there has been great interest in variational analysis of a class of nonsmooth functions called the minimal time function. In this paper we continue this line of research by providing new results on generalized differentiation of this class of functions, relaxing assumptions imposed on the functions and sets involved for the results. In particular, we focus on the singular subdifferential and the limiting subdifferential of this class of functions.
Persistent Identifier
http://archives.pdx.edu/ds/psu/21123
Citation Details
Nam, Nguyen Mau and Cuong, Dang Van, "Subgradients of Minimal Time Functions without Calmness" (2017). Mathematics and Statistics Faculty Publications and Presentations. 194.
http://archives.pdx.edu/ds/psu/21123
Description
arXiv:1705.07555