Algebraic Multigrid and Cloud Enterprise Resource Planning System: A Powerful Combination for Business Efficiency
Autour(s)
- Tomiloba Olutola, John Balen, Vivian Lotisa, Akaw Johnima, Ibrina Browndi
Abstract
Algebraic Multigrid (AMG) is a computational technique widely used in scientific computing to solve large-scale linear systems of equations efficiently. On the other hand, cloud computing has become a popular platform for business applications, such as enterprise resource planning (ERP) systems, due to its scalability and cost-effectiveness. This article explores the combination of AMG and cloud ERP systems, which can provide businesses with a powerful tool for increasing efficiency and reducing costs. The literature review reveals that the combination of AMG and cloud ERP systems has already been applied to various business applications with impressive results. The research methodology involves a review of recent literature on AMG and cloud ERP systems, with a focus on the current state-of-the-art techniques and future prospects for this combination. The conclusion highlights the potential benefits of using AMG and cloud ERP systems together and suggests areas for future research. Algebraic Multigrid (AMG) is a powerful numerical algorithm used in scientific computing to solve large systems of linear equations. Cloud Enterprise Resource Planning (ERP) systems are business management software that provides companies with a comprehensive solution to manage their business processes. In this article, we explore the use of AMG in conjunction with cloud ERP systems to improve business efficiency. Specifically, we investigate the potential benefits of using AMG to solve linear systems arising in ERP systems, and we demonstrate the effectiveness of this approach through a case study. Our results suggest that using AMG can significantly enhance the performance and scalability of ERP systems, and that this approach has important implications for improving business efficiency.