Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

On Computing the Mordukhovich Subdifferential Using Directed Sets in Two Dimensions

Title data

Baier, Robert ; Farkhi, Elza ; Roshchina, Vera:
On Computing the Mordukhovich Subdifferential Using Directed Sets in Two Dimensions.
In: Burachik, Regina S. ; Yao, Jen-Chih (ed.): Variational Analysis and Generalized Differentiation in Optimization and Control : In Honor of Boris S. Mordukhovich. - New York : Springer , 2010 . - pp. 59-93 . - (Springer Optimization and its Applications ; 47 )
ISBN 978-1-4419-0436-2
DOI: https://doi.org/10.1007/978-1-4419-0437-9_3

Review:

Related URLs

Abstract in another language

The Mordukhovich subdifferential is highly important in the variational and non-smooth analysis and optimization, but it may often be hard to calculate it. Here we propose a method of computing the Mordukhovich subdifferential of differences of sublinear (DS) functions applying the directed subdifferential of differences of convex (DC) functions. We restrict ourselves to the two-dimensional case mainly for simplicity of the proofs and for the visualizations.
The equivalence of the Mordukhovich symmetric subdifferential (the union of the corresponding subdifferential and superdifferential), to the Rubinov subdifferential (the visualization of the directed subdifferential), is established for DS functions in two dimensions. The Mordukhovich subdifferential and superdifferential are identified as parts of the Rubinov subdifferential. In addition it is possible to construct the directed subdifferential in a way similar to the Mordukhovich one by considering outer limits of Fréchet subdifferentials. The results are extended to the case of DC functions. Examples illustrating the obtained results are presented.

Further data

Item Type: Article in a book
Refereed: Yes
Additional notes: Contents:
1. Introduction
2. Preliminaries
3. The Mordukhovich and the Directed Subdifferential in |R^2
4. Examples
5. Conclusions
Keywords: non-convex subdifferentials and superdifferentials (basic subdifferentials; Rubinov subdifferential); Frêchet subdifferential; difference of convex (DC) functions; differences of sets
Subject classification: Mathematics Subject Classification Code: 49J52 (26B25 49J50 90C26)
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 25 Feb 2021 08:55
Last Modified: 25 May 2021 13:30
URI: https://eref.uni-bayreuth.de/id/eprint/63451