save some differentiate calls, fix newton residual check

main
Francesco Minnocci 1 year ago
parent 344a0dff01
commit b4492de981
Signed by untrusted user: BachoSeven
GPG Key ID: 2BE4AB7FDAD828A4

@ -11,19 +11,21 @@ module EulerNewton
vars = variables(H(t)) vars = variables(H(t))
# Jacobian of H evaluated at (x,t) # Jacobian of H evaluated at (x,t)
JH = [jh(vars=>x) for jh in differentiate(H(t), vars)] JH = [jh(vars=>x) for jh in differentiate(H(t), vars)]
Δx = JH \ -[gg(vars=>x) for gg in H(1)-H(0)] # ∂H/∂t is the same as γG-F=H(1)-H(0) for our choice of homotopy # ∂H/∂t is the same as γG-F=H(1)-H(0) for our choice of homotopy
xp = x .+ Δx * step_size Δx = JH \ -[gg(vars=>x) for gg in H(1)-H(0)]
xh = x + Δx * step_size
# Corrector step # Corrector step
JHh=differentiate(H(t+step_size), vars)
for _ in 1:10 for _ in 1:10
JH = [jh(vars=>xp) for jh in differentiate(H(t+step_size), vars)] JH = [jh(vars=>xh) for jh in JHh]
Δx = JH \ -[h(vars=>xp) for h in H(t+step_size)] Δx = JH \ -[h(vars=>xh) for h in H(t+step_size)]
xp = xp .+ Δx xh = xh + Δx
if LinearAlgebra.norm(Δx) < 1e-6 if LinearAlgebra.norm([h(vars=>xh) for h in H(t+step_size)]) < 1e-8
break break
end end
end end
return xp return xh
end end
end end

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