IEM research focuses on balanced graph partitioning
Researchers in the College of Engineering, Architecture and Technology are developing new mathematical methods to solve problems where large networks must be divided into equal parts. From dividing workloads on computers to splitting territories for military recruitment, these datasets present a challenge. The data commonly changes or can be uncertain, leading to inconsistent results if not planned for in advance.
