Abstract:
A numerical algorithm for minimizing a convex function on the set-theoretic intersection of a spherical surface and a convex compact set is proposed. The idea behind the algorithm is to reduce the original minimization problem to a sequence of convex programming problems. Necessary extremum conditions are examined, and the convergence of the algorithm is analyzed.
Key words:spherical surface, convex compact set, convex programming problem, necessary conditions for a local minimum, convergence of an algorithm.