Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application
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.
scientific article; zbMATH DE number 6125892
scientific article