Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

The auction algorithm is a simple, well-studied alternative to the Hungarian method that: scales well to large problems, is naturally parallelisable and fits JAX’s accelerator model, is widely used in ...

Abstract: Every day, an increasing number of services rely on the efficient operation of communication networks. Although these networks have grown overly complex, their principal purpose will always ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: In the field of combinatorial optimization, numerous methods have been developed to address complex problems, including assignment, scheduling, and resource allocation. This paper presents a ...

Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...

ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...