Engine prototype #13
@ -1,20 +1,28 @@
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include("Engine.jl")
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include("Engine.jl")
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using SparseArrays
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using SparseArrays
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using AbstractAlgebra
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using PolynomialRoots
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# initialize the partial gram matrix for a sphere inscribed in a regular
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# initialize the partial gram matrix for a sphere inscribed in a regular
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# tetrahedron
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# tetrahedron
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J = Int64[]
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J = Int64[]
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K = Int64[]
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K = Int64[]
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values = BigFloat[]
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values = BigFloat[]
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for j in 1:8
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for j in 1:9
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for k in 1:8
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for k in 1:9
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filled = false
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filled = false
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if j == k
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if j == k
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push!(values, 1)
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push!(values, j < 9 ? 1 : 0)
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filled = true
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filled = true
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elseif (j == 9)
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if (k <= 5 && k != 2)
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push!(values, 0)
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filled = true
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end
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elseif (k == 9)
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if (j <= 5 && j != 2)
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push!(values, 0)
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filled = true
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end
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elseif (j == 1 || k == 1)
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elseif (j == 1 || k == 1)
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push!(values, 0)
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push!(values, 0)
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filled = true
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filled = true
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@ -56,7 +64,8 @@ guess = hcat(
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Engine.plane(BigFloat[cos(-2pi/3), sin(-2pi/3), 0], BigFloat(1)),
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Engine.plane(BigFloat[cos(-2pi/3), sin(-2pi/3), 0], BigFloat(1)),
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Engine.sphere(BigFloat[-1, 0, 0], BigFloat(1//5)),
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Engine.sphere(BigFloat[-1, 0, 0], BigFloat(1//5)),
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Engine.sphere(BigFloat[cos(-pi/3), sin(-pi/3), 0], BigFloat(1//5)),
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Engine.sphere(BigFloat[cos(-pi/3), sin(-pi/3), 0], BigFloat(1//5)),
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Engine.sphere(BigFloat[cos(pi/3), sin(pi/3), 0], BigFloat(1//5))
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Engine.sphere(BigFloat[cos(pi/3), sin(pi/3), 0], BigFloat(1//5)),
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BigFloat[0, 0, 0, 1, 1]
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)
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)
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=#
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=#
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guess = hcat(
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guess = hcat(
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@ -67,7 +76,8 @@ guess = hcat(
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Engine.plane(BigFloat[cos(-2pi/3), sin(-2pi/3), 0], BigFloat(1)),
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Engine.plane(BigFloat[cos(-2pi/3), sin(-2pi/3), 0], BigFloat(1)),
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Engine.sphere(4//3*BigFloat[-1, 0, 0], BigFloat(1//3)),
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Engine.sphere(4//3*BigFloat[-1, 0, 0], BigFloat(1//3)),
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Engine.sphere(4//3*BigFloat[cos(-pi/3), sin(-pi/3), 0], BigFloat(1//3)),
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Engine.sphere(4//3*BigFloat[cos(-pi/3), sin(-pi/3), 0], BigFloat(1//3)),
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Engine.sphere(4//3*BigFloat[cos(pi/3), sin(pi/3), 0], BigFloat(1//3))
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Engine.sphere(4//3*BigFloat[cos(pi/3), sin(pi/3), 0], BigFloat(1//3)),
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BigFloat[0, 0, 0, 1, 1]
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)
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)
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# complete the gram matrix using gradient descent
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# complete the gram matrix using gradient descent
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Block a user