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Julia

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module EulerNewton
using LinearAlgebra
using TypedPolynomials
export en_step
# Euler-Newton predictor-corrector
function en_step(H, x, t, step_size)
# Predictor step
vars = variables(H(t))
# Jacobian of H evaluated at (x,t)
JH = [jh(vars=>x) for jh in differentiate(H(t), vars)]
# ∂H/∂t is the same as γG-F=H(1)-H(0) for our choice of homotopy
Δx = JH \ -[gg(vars=>x) for gg in H(1)-H(0)]
xh = x + Δx * step_size
# Corrector step
JHh=differentiate(H(t-step_size), vars)
for _ in 1:5
JH = [jh(vars=>xh) for jh in JHh]
Δx = JH \ -[h(vars=>xh) for h in H(t-step_size)]
xh = xh + Δx
end
return xh
end
end