This book introduces the emerging field of quantum thermodynamics, with a focus on its
relation to quantum information and its implications for quantum computers and next …

We consider the framework of aggregative games, in which the cost function of each agent
depends on his own strategy and on the average population strategy. As first contribution …

We study contextual stochastic optimization problems, where we leverage rich auxiliary
observations (eg, product characteristics) to improve decision making with uncertain …

In this letter, we present a novel control scheme for feedback optimization. That is, we
propose a discrete-time controller that can steer a physical plant to the solution of a …

We present the first algorithm to efficiently compute certifiably optimal solutions to range-
aided simultaneous localization and mapping (RA-SLAM) problems. Robotic navigation …

This paper considers future distribution networks featuring inverter-interfaced photovoltaic
(PV) systems, and addresses the synthesis of feedback controllers that seek real-and …

Karush--Kuhn--Tucker (KKT) conditions for equality and inequality constrained optimization
problems on smooth manifolds are formulated. Under the Guignard constraint qualification …

We study a routing game in an environment with multiple heterogeneous information
systems and an uncertain state that affects edge costs of a congested network. Each …

We study optimal savings policies when there is a dual concern about undersaving for
retirement and income inequality. Agents differ in present bias and earnings ability, both …

It is well known that proper scaling can increase the efficiency of computational problems. In
this paper, we define and show that a balancing technique can substantially improve the …