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We consider the Langevin dynamics of a many-body system of interacting particles in d dimensions, in a very general setting suitable to model several out-of-equilibrium situations, such as liquid and glass rheology, active self-propelled particles, and gla ...
Tailoring patient‐specific treatments for cancer is necessary in order to achieve optimal results but requires new diagnostic approaches at affordable prices. Microfluidics has immense potential to provide solutions for this, as it enables the processing o ...
This work presents a fully distributed algorithm for learning the optimal policy in a multi-agent cooperative reinforcement learning scenario. We focus on games that can only be solved through coordinated team work. We consider situations in which K player ...
Job turnover makes a wage Phillips Curve less forward-looking, with a smaller coefficient for inflation expectations. Workers discount future wage income with a low discount factor if there is a strong flow of job turnover; this implies that future inflati ...
This thesis aims to further investigate rare natural disasters and studies adaptation decisions under uncertainty by solving several computational economic models. The modeling of rare natural disasters depends on the treatment of catastrophic outcomes wit ...
The computational power of mobile robots is currently insufficient to achieve torque level whole-body Model Predictive Control (MPC) at the update rates required for complex dynamic systems such as legged robots. This problem is commonly circumvented by us ...
This paper aims to adapt the well established Brinson model for the thermoelastic behaviour of the Shape Memory Effect (SME) so as to compare it to a custom shape memory material modelled using an finite element modelling software. In this work, the Brinso ...
We provide sharp conditions for the finiteness and the continuity of multimarginal optimal transport with repulsive cost, expressed in terms of a suitable concentration property of the measure. To achieve this result, we analyze the Kantorovich potentials ...
We consider linear programming (LP) problems in infinite dimensional spaces that are in general computationally intractable. Under suitable assumptions, we develop an approximation bridge from the infinite-dimensional LP to tractable finite convex programs ...
Dampened inflation expectations have a significant impact on the New Keynesian Phillips Curve. This dampening not only flattens the long run Phillips Curve, but it can also lead to a bias in the estimation of its short run slope. It also affects the respon ...
