Computational issues in solving LMIs

Optimization methods, which have been applied to linear matrix inequality (LMI) problems are described and results are noted. Descent methods are briefly described, and one descent method approached for solving LMI problems is discussed. Convex programming methods and applications are also outlined. Interior point methods are then discussed, and recent results of applications to LMI problems are given.<<ETX>>