Graph Optimization

Graph optimization involves finding the most efficient way to connect and arrange a network of nodes (points) and edges (connections) to achieve a specific goal, like minimizing cost or maximizing performance. It's commonly used in areas such as route planning, where the goal is to find the shortest or fastest path, or in machine learning to improve models. By analyzing the structure and relationships within the graph, algorithms can identify the optimal configuration or solution, making systems more effective and resource-efficient.