Title:
Semidefinite programming and structural optimization
Michal Kocvara, UTIA AVCR, Prague

Abstract:
Several formulations of structural optimization problems based on linear
and nonlinear semidefinite programming will be presented. SDP allows us 
to formulate and solve poblems with difficult constraints that could 
hardly be solved before. We will show that sometimes it is advantageous 
to prefer a nonlinear formulation to a linear one. All the presented 
formulations result in large-scale sparse (nonlinear) SDPs. In the 
second part of the talk we will show how these problems can be solved by
our augmented Lagrangian code PENNON. Numerical examples will illustrate
the presentation.