To meet the increasing demand for low-latency processing in mobile and IoT devices, edge computing offloads user application tasks to nearby cloudlets (edge ...

We study the solution of symmetric positive-definite linear systems by way of families of full- and limited-memory methods. Our contributions are threefol...

This paper investigates mean field games and control on sparse networks. In the case of large expander graphs, the limit topologies are analyzed using the gr...

Accurate estimation of metal accumulation in electric arc furnaces (EAFs) is critical for maintaining stable ferrosilicon (FeSi) production and ensuring effe...

The design of tactical wireless networks reflects a complex interplay among structural constraints, technological choices, and underlying modeling assumption...

Tactical wireless networks play a vital role in ensuring reliable connectivity in scenarios where conventional telecommunications infrastructure is unavailab...

Bilevel optimization involves an upper-level and a lower-level decision maker. The lower-level optimization problem is nested within the constraints of the ...

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...

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...

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...

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...