In this paper, an advanced computational method is proposed, whose aim is to obtain an
approximately optimal design of a particular class of acoustic metamaterials, by means of a …

Many scientific and technological areas of major interest require one to solve infinite-
dimensional optimization problems, also called functional optimization problems. In such a …

Control and optimization of dynamical systems in the presence of stochastic uncertainty is a
mature field with a large range of applications. A comprehensive treatment of such problems …

In the recent past, annual CO 2 emissions at the international level were examined from
various perspectives, motivated by rising concerns about pollution and climate change …

Academic team formulation is one of the most critical and fundamental issues in team
research. Inspired by the Liebig's metaphor, we formulate an academic team by a barrel …

Economic complexity and machine learning have recently become popular approaches for
analysing international trade. However, for effective use of machine learning in relation to …

We consider finite model approximations of a large class of static and dynamic team
problems where these models are constructed through uniform quantization of the …

Optimal control for systems described by partial differential equations is investigated by
proposing a methodology to design feedback controllers in approximate form. The …

Value-function approximation is investigated for the solution via Dynamic Programming (DP)
of continuous-state sequential N-stage decision problems, in which the reward to be …

This paper investigates a linear quadratic mean field leader-follower team problem, where
the model involves one leader and a large number of weakly-coupled interactive followers …