From 9efa99e8be12265991cc78077e6d55e691a0f7ee Mon Sep 17 00:00:00 2001 From: Aaron Fenyes Date: Mon, 8 Jul 2024 12:56:28 -0700 Subject: [PATCH] Test gradient descent for circles in triangle --- engine-proto/gram-test/circles-in-triangle.jl | 62 +++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 engine-proto/gram-test/circles-in-triangle.jl diff --git a/engine-proto/gram-test/circles-in-triangle.jl b/engine-proto/gram-test/circles-in-triangle.jl new file mode 100644 index 0000000..bd6a503 --- /dev/null +++ b/engine-proto/gram-test/circles-in-triangle.jl @@ -0,0 +1,62 @@ +include("Engine.jl") + +using SparseArrays +using AbstractAlgebra +using PolynomialRoots + +# initialize the partial gram matrix for a sphere inscribed in a regular +# tetrahedron +J = Int64[] +K = Int64[] +values = BigFloat[] +for j in 1:8 + for k in 1:8 + filled = false + if j == k + push!(values, 1) + filled = true + elseif (j == 1 || k == 1) + push!(values, 0) + filled = true + elseif (j == 2 || k == 2) + push!(values, -1) + filled = true + end + if filled + push!(J, j) + push!(K, k) + end + end +end +append!(J, [6, 4, 6, 5, 7, 5, 7, 3, 8, 3, 8, 4]) +append!(K, [4, 6, 5, 6, 5, 7, 3, 7, 3, 8, 4, 8]) +append!(values, fill(-1, 12)) +gram = sparse(J, K, values) + +# set initial guess (random) +## Random.seed!(58271) # stuck; step size collapses on step 48 +## Random.seed!(58272) # good convergence +## Random.seed!(58273) # stuck; step size collapses on step 18 +## Random.seed!(58274) # stuck +## Random.seed!(58275) # +## guess = Engine.rand_on_shell(fill(BigFloat(-1), 8)) + +# set initial guess +guess = hcat( + Engine.plane(BigFloat[0, 0, 1], BigFloat(0)), + Engine.sphere(BigFloat[0, 0, 0], BigFloat(1//2)), + Engine.plane(BigFloat[1, 0, 0], BigFloat(1)), + Engine.plane(BigFloat[cos(2pi/3), sin(2pi/3), 0], BigFloat(1)), + Engine.plane(BigFloat[cos(-2pi/3), sin(-2pi/3), 0], BigFloat(1)), + Engine.sphere(BigFloat[-1, 0, 0], BigFloat(1//5)), + Engine.sphere(BigFloat[cos(-pi/3), sin(-pi/3), 0], BigFloat(1//5)), + Engine.sphere(BigFloat[cos(pi/3), sin(pi/3), 0], BigFloat(1//5)) +) + +# complete the gram matrix using gradient descent +L, history = Engine.realize_gram(gram, guess, max_descent_steps = 200) +completed_gram = L'*Engine.Q*L +println("Completed Gram matrix:\n") +display(completed_gram) +println("\nSteps: ", size(history.stepsize, 1)) +println("Loss: ", history.scaled_loss[end], "\n") \ No newline at end of file