Tuesday
Wednesday
Thursday
Friday
Mathematical models methods and algorithms in optimization, identification, simulation and their applications:
Optimization; Optimization with PDE constraints; structural systems optimization; algorithms for linear and nonlinear programming; stochastic optimization; control and game theory; combinatorial and discrete optimization.
identification and inverse problems; fault detection; shape identification.
complex systems; stability and sensitivity analysis; neural networks; fractal and chaos; reliability.
computational techniques in distributed systems and in information processing environments; transmission of information in complex systems; data base design.
Applications of optimization techniques and of computational methods to scientific and technological areas (such as medicine, biology, economics, finances, aerospace and aeronautics etc.) are very welcome.