We study a multi-robot stochastic patrolling problem by employing graph partitioning
techniques, where each robot adopts a Markov chain-based strategy over its assigned …

Abstract Chromatic Correlation Clustering (CCC)(introduced by Bonchi et al.[6]) is a natural
generalization of the celebrated Correlation Clustering (CC) problem, introduced by Bonchi …

Semidefinite programs (SDPs) and their solvers are powerful tools with many applications in
machine learning and data science. Designing scalable SDP solvers is challenging …

Abstract The Internet of Things (IoT) is filling cities and buildings. It provides continuous
monitoring and control to the point where a large proportion of everyday processes can be …

I introduce a novel recursive modification to the classical Goemans-Williamson MaxCut
algorithm, offering improved performance in vectorized data clustering tasks. Focusing on …

In this article, we introduce a novel recursive modification to the classical Goemans-
Williamson MaxCut algorithm, offering improved performance in vectorized data clustering …