We introduce the Suggest-and-Improve framework for general nonconvex quadratically
constrained quadratic programs (QCQPs). Using this framework, we generalize a number of …

False data injection (FDI) attacks have recently been introduced as an important class of
cyberattacks in modern power systems. By coordinating the injection of false data in …

In this paper, we exploit the possibility of combining nonsmooth control jointly with projected
gradient approaches to solve convex optimization problems with linear equality constraints …

This paper presents a study on joint radio resource allocation and hybrid precoding in multi-
carrier massive multiple-input multiple-output communications for 5G cellular networks. In …

We propose a novel optimization technique for the automatic construction of interface
operators for coupling non-matching 3D meshes. The core of the method lies in the use of …

The value of accurate protein structural models closely conforming to the experimental data
is indisputable. DREAMweb deploys an improved DREAM algorithm, DREAMv2, that …

The operation of water distribution networks is a complex procedure aimed at efficiently
delivering consumers with adequate water quantity while ensuring its safe quality. An added …

We present a novel representation of rank constraints for non-square real matrices. We
establish relationships with existing results and show that these are particular cases of our …

Reinforcement learning (RL) has seen significant research and application results but often
requires large amounts of training data. This paper proposes two data-efficient off-policy RL …

False data injection (FDI) attacks have recently been introduced as an important class of
cyber attacks in power systems. These attacks aim to compromise multiple sensor …