In this paper, we study a finitely repeated Prisoner's Dilemma in which players are asymmetric in both their temptation to deviate from cooperation and the...

Wind power generation represents one of the main resources of modern renewable power systems. Its deployment is governed by numerous factors, e.g., weather p...

We study the solution of large symmetric positive-definite linear systems in a matrix-free setting with a limited iteration budget. We focus on the precondi...

The \(k\)-means algorithm is one of the most widely used methods for solving the minimum sum-of-squares clustering (MSSC) problem, but it is well known to ...

Aircraft design relies heavily on solving challenging and computationally expensive Multidisciplinary Design Optimization problems. In this context, there ha...

In simulation-based engineering, design choices are often obtained following the optimization of complex blackbox models. These models frequently involve mi...

The use of transfer learning within Bayesian optimization addresses the disadvantages of the so-called cold start problem by using source data to aid in th...

We consider the security-constrained optimal power flow (SCOPF) problem in a linearized form where thermal line limits are enforced as soft constraints to re...

Predicting the state of the weather, from tracking hurricanes and thunderstorms to assessing daily temperatures, is of crucial importance. Over the past deca...

As fast-charging demand grows, ensuring the operational resilience of electric vehicle (EV) infrastructure under congestion becomes a key challenge in large-...

It is well known that physical activity plays a key role in maintaining good health. Over the past few decades, there has been a significant increase in both...

Dynamic games are considered with large subpopulations distributed over large sparse graphs, where each agent has mean field coupling with all agents withi...

Semi-supervised clustering is a learning approach that primarily relies on unlabeled data but incorporates some prior information to improve the clustering r...

In this work, we tackle the optimal energy trading~(OET) problem in distribution grids with a large number of prosumer households. We first introduce a clust...

The Batch Pan Scheduling Problem represents a major operational challenge in white sugar refineries, where production planning must balance throughput object...

This paper introduces IPNSDP, a MATLAB solver for general Nonlinear Semidefinite Programming (NSDP) based on a second-order interior point method. Unlike lin...

The Crew Pairing Problem (CPP) involves constructing feasible pairings (sequences of flights, connections, and rest periods) for airline crew while minimizin...

Origin--destination (OD) matrices are essential for forecasting and capacity planning in transportation and communication networks, yet they are not directl...

Large-scale distributed wireless networks offer infrastructure-free and cost-effective connectivity. Recent theoretical work has shown that scalability crit...

Distributed wireless networks provide scalable and decentralized connectivity for applications ranging from IoT and vehicular communication to emergency resp...