Switch back to BigFloat precision in examples
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@ -312,7 +312,7 @@ end
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function realize_gram(
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function realize_gram(
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gram::SparseMatrixCSC{T, <:Any},
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gram::SparseMatrixCSC{T, <:Any},
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guess::Matrix{T};
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guess::Matrix{T};
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scaled_tol = 1e-16,
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scaled_tol = 1e-30,
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min_efficiency = 0.5,
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min_efficiency = 0.5,
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init_rate = 1.0,
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init_rate = 1.0,
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backoff = 0.9,
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backoff = 0.9,
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@ -86,7 +86,7 @@ L, history = Engine.realize_gram_gradient(gram, guess, scaled_tol = 0.01)
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L_pol, history_pol = Engine.realize_gram_newton(gram, L, rate = 0.3, scaled_tol = 1e-9)
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L_pol, history_pol = Engine.realize_gram_newton(gram, L, rate = 0.3, scaled_tol = 1e-9)
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L_pol2, history_pol2 = Engine.realize_gram_newton(gram, L_pol)
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L_pol2, history_pol2 = Engine.realize_gram_newton(gram, L_pol)
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=#
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=#
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L, success, history = Engine.realize_gram(Engine.convertnz(Float64, gram), Float64.(guess))
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L, success, history = Engine.realize_gram(gram, guess)
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completed_gram = L'*Engine.Q*L
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completed_gram = L'*Engine.Q*L
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println("Completed Gram matrix:\n")
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println("Completed Gram matrix:\n")
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display(completed_gram)
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display(completed_gram)
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@ -52,7 +52,7 @@ guess = hcat(
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L, history = Engine.realize_gram_gradient(gram, guess, scaled_tol = 0.01)
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L, history = Engine.realize_gram_gradient(gram, guess, scaled_tol = 0.01)
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L_pol, history_pol = Engine.realize_gram_newton(gram, L)
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L_pol, history_pol = Engine.realize_gram_newton(gram, L)
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=#
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=#
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L, success, history = Engine.realize_gram(Float64.(gram), Float64.(guess))
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L, success, history = Engine.realize_gram(gram, guess)
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completed_gram = L'*Engine.Q*L
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completed_gram = L'*Engine.Q*L
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println("Completed Gram matrix:\n")
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println("Completed Gram matrix:\n")
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display(completed_gram)
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display(completed_gram)
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