You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
|
|
|
|
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
|