Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application (Q1931769)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application |
scientific article; zbMATH DE number 6125892
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application |
scientific article; zbMATH DE number 6125892 |
Statements
Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application (English)
0 references
16 January 2013
0 references
The authors have examine the maximum eigenvalue function of an even order real symmetric tensor, regarding continuity, convexity, and differentiality using variational techniques. A sufficient condition ensuring the strong semi-smoothness of the maximum eigenvalue function is also proven. Besides this, a generalized Newton method to solve the space tensor conic linear programming problem is proposed as an application.
0 references
symmetric tensor
0 references
maximum eigenvalue function
0 references
real polynomial
0 references
semi-smooth
0 references
generalized Newton method
0 references
0 references
0 references
0 references