👉 Light math, often referred to as computational geometry or discrete mathematics, deals with geometric problems using algebraic and combinatorial techniques. It simplifies complex geometric questions into manageable algebraic equations, making it easier to solve problems involving points, lines, and shapes. For instance, concepts like convex hulls (the smallest convex shape that encloses a set of points), Voronoi diagrams (partitioning space into regions based on proximity to points), and Delaunay triangulations (connecting points with triangles that maximize minimum angle) are all rooted in light math. These methods are crucial in fields like computer graphics, robotics, and geographic information systems, where efficient computation of geometric data is essential. By translating geometric problems into algebraic ones, light math enables powerful algorithms to handle intricate spatial relationships with relative ease.
