Title: Optimized Incremental Delaunay Brief: Classic triangulation algorithm to use for one by one insertion of points, with SIMD and caching. Date: 1694711563 Tags: Programming, Zig, Generation CSS: /style.css ![](/articles/incremental-delaunay/web.png) Based on [this paper](https://www.cs.umd.edu/class/spring2020/cmsc754/Lects/lect13-delaun-alg.pdf) Full usable isolated code is [here](/articles/incremental-delaunay/incremental-delaunay.zig.txt). ### Usage example ### ```zig var gpa = std.heap.GeneralPurposeAllocator(.{}){}; defer std.debug.assert(gpa.deinit() == .ok); var triangulator = try Delaunay.Builder.init(gpa.allocator(), Delaunay.Area{-1, -1, 1, 1}); const point_count = 128; var prng = std.rand.DefaultPrng.init(123123); const rng = prng.random(); for (0..point_count) |_| { const x = rng.float(f32) * 2 - 1; const y = rng.float(f32) * 2 - 1; try triangulator.insertAtRandom(Delaunay.Vertex{ x, y }, rng); } var triangles: [point_count * 2 + 2]gfx.triangle.ScreenspaceTriangle = undefined; for (&triangles, triangulator.triangles.items) |*out, in| { out.a = triangulator.vertices.items[in.points[0]]; out.b = triangulator.vertices.items[in.points[1]]; out.c = triangulator.vertices.items[in.points[2]]; } ```