|Wednesday||1:30 PM - 3:30 PM||lesson||Lecture Hall M|
|Friday||1:30 PM - 3:30 PM||lesson||Lecture Hall M|
In this course we will provide an introduction to Convex Analysis in finite and infinite-dimensional spaces. We will show also some applications to problems of nonlinear optimizations and control theory arising from physics and economics.
Review of weak topology on Banach spaces: convex sets, Minkowski functional, linear continuous operators, weak topology, separation of convex sets.
Convex functions: general properties, lower semicontinuous convex functions, convex conjugate, subdifferential in the sense of Convex Analysis. Introduction to Calculus of Variations.
Generalizations of convexity: differential calculus in Hilbert and Banach spaces, proximal and limiting subdifferential, the density theorem, sum rule, chain rule, generalized gradient in Banach space.
Introduction to control theory: multifunctions and trajectories of differential inclusions, viability,
equilibria, invariance, stabilization, reachability, Pontryagin Maximum Principle, necessary conditions
Application to optimization problems arising from physical or economic models.
|Ivar Ekeland and Roger Témam||Convex Analysis and Variational Problems||SIAM||1987||0-89871-450-8|
|F.H. Clarke, Y.S. Ledyaev, Ronald J. Stern, P.R. Wolenski||Nonsmooth Analysis and Control Theory||Springer-Verlag New York Inc.||1998||0387983368|
|Frank H. Clarke||Optimization and Nonsmooth Analysis||SIAM||1990||0-89871-256-4|
Written and oral examination. There will be also two partial tests during the course.