In future research, we will investigate the identifiability (Gelfand and Sahu 1999) of the proposed method and explore the possibility of extension to larger scale problems such as genome-wide association studies, where thousands of SNPs for a chromosome scan are examined.
In order to solve large-scale problems, such as national Dutch network, and design high-quality solutions, modelling extensions are needed.
Finally, we discuss some of their applications to different large-scale problems, such as solution of large-scale systems of equations, eigenvalue problems, computation of the PageRank of the Google matrix, and summation of vector-valued power series.
Currently, the applicability of macroscopic Dynamic Network Loading (DNL) models for large-scale problems such as network-wide traffic management, reliability and vulnerability studies, network design, traffic flow optimization and dynamic origin destination (OD) estimation is computationally problematic.
Because of the large amount of data that must be analyzed when extending EEA to large-scale problems, such as those posed by DoD, a "big data" problem is introduced.
Although they do not address large-scale problems such as suburban sprawl, alternative development techniques such as conservation subdivision designs include features that can mitigate undesirable site-scale effects of development on water quality or sensitive ecological areas.
For large-scale problems, such as crime epidemics, the continued analysis and understanding of shifting patterns of opportunity structures will be necessary as national level epidemics are more dynamic than micro-level concentrations and perhaps change more readily as strategies are deployed.
Being an undergraduate student, I'm far from being an expert in any field, yet I'm given the chance to try and tackle large-scale problems, such as atrocity prevention.
