graphpartitioning
Graph partitioning is a fundamental problem in graph theory and computer science that involves dividing a graph’s vertices into disjoint subsets, or partitions, while minimizing the number of edges crossing between these subsets. This technique is widely used in parallel computing, network design, data clustering, and scientific simulations, where balancing workload or optimizing resource allocation is critical.
The goal of graph partitioning is to create balanced partitions that optimize a particular criterion, such
Exact solutions are computationally challenging; the problem is known to be NP-hard for general graphs. Consequently,
The effectiveness of graph partitioning depends on the specific application and the structure of the graph.