function compute_f1(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p sq2σ = sqrt(2) * σ f1 = (x - (μ - 0.5L)) / sq2σ return f1 end function compute_J_f1(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p sq2σ = sqrt(2) * σ J_f1 = [0.5 -1 -(x - (μ - 0.5L)) / σ] / sq2σ return J_f1 end function compute_H_f1(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p sq2σ = sqrt(2) * σ J_f1 = [0.5 -1 -(x - (μ - 0.5L)) / σ] / sq2σ H_f1 = zeros(3, 3) H_f1[1, 3] = H_f1[3, 1] = -0.5 / (σ * sq2σ) H_f1[2, 3] = H_f1[3, 2] = 1 / (σ * sq2σ) H_f1[3, 3] = -2 * J_f1[3] / σ return H_f1 end function compute_f2(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p sq2σ = sqrt(2) * σ f2 = (x - (μ + 0.5L)) / sq2σ return f2 end function compute_J_f2(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p sq2σ = sqrt(2) * σ J_f2 = [-0.5 -1 -(x - (μ + 0.5L)) / σ] / sq2σ return J_f2 end function compute_H_f2(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p sq2σ = sqrt(2) * σ J_f2 = [-0.5 -1 -(x - (μ + 0.5L)) / σ] / sq2σ H_f2 = zeros(3, 3) H_f2[1, 3] = H_f2[3, 1] = 0.5 / (σ * sq2σ) H_f2[2, 3] = H_f2[3, 2] = 1 / (σ * sq2σ) H_f2[3, 3] = -2 * J_f2[3] / σ return H_f2 end @testset "Erf auxiliary functions" begin L = 10 * (rand() - 0.5) μ = 10 * (rand() - 0.5) σ = 10rand() x = σ * (2 * rand() - 1) + μ p = [L, μ, σ] @test TaylorTest.check(compute_f1, compute_J_f1, p; x=x) @test TaylorTest.check(compute_J_f1, compute_H_f1, p; x=x) @test TaylorTest.check(compute_f2, compute_J_f2, p; x=x) @test TaylorTest.check(compute_J_f2, compute_H_f2, p; x=x) end @testset "Difference of error functions" begin function diff_of_erf(p::Vector{Float64}; x::Float64=0.0) L, μ, σ = p f1 = compute_f1(p; x=x) f2 = compute_f2(p; x=x) return 0.5 * erf(f2, f1) end function J_diff_of_erf(p::Vector{Float64}; x::Float64=0.0) # d/dx erf(x)/2 = gauss([sqrt(2), 0, 1]; x=x) L, μ, σ = p sq2σ = sqrt(2) * σ # d/dξ ( erf( f1(x) ) - erf( f2(x) ) )/2 = d/dξ f1(x) gauss([sqrt(2), 0, 1]; x=f1(x)) - d/dξ f2(x) gauss([sqrt(2), 0, 1]; x=f2(x)) f1 = compute_f1(p; x=x) f2 = compute_f2(p; x=x) J_f1 = compute_J_f1(p; x=x) J_f2 = compute_J_f2(p; x=x) return J_f1 .* gauss([1, 0, 1 / sqrt(2)]; x=f1) - J_f2 .* gauss([1, 0, 1 / sqrt(2)]; x=f2) end function H_diff_of_erf(p::Vector{Float64}; x::Float64=0.0) # d/dx erf(x)/2 = gauss([sqrt(2), 0, 1]; x=x) L, μ, σ = p sq2σ = sqrt(2) * σ # d²/dξ² ( erf( f1(x) ) - erf( f2(x) ) )/2 = d²/dξ² f1(x) gauss([1, 0, 1/sqrt(2)]; x=f1(x)) - d²/dξ² f2(x) gauss([1, 0, 1/sqrt(2)]; x=f2(x)) # + (d/dξ f1(x))^2 gauss([sqrt(2), 0, 1]; x=f1(x)) - d²/dξ² f2(x) gauss([sqrt(2), 0, 1]; x=f2(x)) f1 = compute_f1(p; x=x) f2 = compute_f2(p; x=x) J_f1 = compute_J_f1(p; x=x) J_f2 = compute_J_f2(p; x=x) H_f1 = compute_H_f1(p; x=x) H_f2 = compute_H_f2(p; x=x) g_f1 = gauss([1, 0, 1 / sqrt(2)]; x=f1) g_f2 = gauss([1, 0, 1 / sqrt(2)]; x=f2) return H_f1 .* g_f1 - H_f2 .* g_f2 - 2J_f1' * J_f1 .* f1 .* g_f1 + 2J_f2' * J_f2 .* f2 .* g_f2 end L = 10 * (rand() - 0.5) μ = 10 * (rand() - 0.5) σ = 10rand() x = σ * (2 * rand() - 0.5) + μ p = [L, μ, σ] @test TaylorTest.check(diff_of_erf, J_diff_of_erf, p; x=x) @test TaylorTest.check(J_diff_of_erf, H_diff_of_erf, p, [2, 3]; x=x) end