Methods of Descent for Nondifferentiable Optimization

Inhaltsverzeichnis

• 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.