Fundamentals -- Aggregate subgradient methods for unconstrained convex minimization -- Methods with subgradient locality measures for minimizing nonconvex functions -- Methods with subgradient deletion rules for unconstrained nonconvex minimization -- Feasible point methods for convex constrained minimization problems -- Methods of feasible directions for nonconvex constrained problems -- Bundle methods -- Numerical examples

1. Mathematics
2. System theory
3. Calculus of variations
4. Mathematics
5. Systems Theory
6. Control
7. Calculus of Variations and Optimal Control; Optimization