Thursday, September 28
Minisymposium 6: Methods for continuous optimization and applications
Time: 8:00 - 10:00
Room: L1.202, Building L
Organiser: Stefania Bellavia, Università degli Studi di Firenze, and Benedetta Morini, Università degli Studi di Firenze
Chair: Stefania Bellavia, Università degli Studi di Firenze
Continuous optimization problems arise in a variety of applications in engineering, economics, finance and industry. Knowledge of the capabilities and limitations of existing optimization algorithms leads to a better understanding of their impact on various applications, and paths the way to future research on improving and extending algorithms and software. In this session recent advances in computational methods for continuous optimization problems will be presented. They lead to novel techniques for nonlinear optimization problems and nonlinear systems and to significant applications in machine learning equilibrium problems and industrial applications.
Speakers:
| 8:00 - 8:30 | Christian Kanzow (Universität Würzburg) Modified augmented Lagrangian methods in finite and infinite dimensions |
| 8:30 - 9:00 | Natasa Krklec Jerinkic (Novi Sad University) Distributed Newton-like methods with variable number of working nodes |
| 9:00 - 9:30 | Margherita Porcelli (Università degli Studi di Firenze) Quasi-Newton methods for constrained nonlinear systems and application to gas distribution networks |
| 9:30 - 10:00 | Nico Strasdat (Technische Universität Dresden) Newton’s method for the primal training of support vector machines |