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G₂_Adj: bring back solve_in_loop

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Marek Kaluba 2023-04-11 10:31:54 +02:00
parent 56aed88416
commit 263af398eb
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1 changed files with 14 additions and 58 deletions
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72
scripts/G₂_Adj.jl
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@ -82,61 +82,17 @@ unit = Δ
show_progress = true,
)
warm = nothing
let status = JuMP.OPTIMIZE_NOT_CALLED, warm = warm, eps = 1e-9
certified, λ = false, 0.0
while status ≠ JuMP.OPTIMAL
@time status, warm = PropertyT.solve(
model,
scs_optimizer(;
linear_solver = SCS.MKLDirectSolver,
eps = eps,
max_iters = 100_000,
accel = 50,
alpha = 1.95,
),
warm,
)
@info "reconstructing the solution"
Q = @time let wd = wd, Ps = [JuMP.value.(P) for P in varP], eps = eps
PropertyT.__droptol!.(Ps, 100eps)
Qs = real.(sqrt.(Ps))
PropertyT.__droptol!.(Qs, eps)
PropertyT.reconstruct(Qs, wd)
end
@info "certifying the solution"
@time certified, λ = PropertyT.certify_solution(
elt,
unit,
JuMP.objective_value(model),
Q;
halfradius = HALFRADIUS,
augmented = true,
)
end
if certified && λ > 0
Κ(λ, S) = round(sqrt(2λ / length(S)), Base.RoundDown; digits = 5)
@info "Certified result: $G has property (T):" N λ Κ(λ, S)
else
@info "Could NOT certify the result:" certified λ
end
end
# solve_in_loop(
# model,
# wd,
# varP;
# logdir = "./log/G2/r=$HALFRADIUS/Adj-InfΔ",
# optimizer = scs_optimizer(;
# eps = 1e-10,
# max_iters = 50_000,
# accel = 50,
# alpha = 1.95,
# ),
# data = (elt = elt, unit = unit, halfradius = HALFRADIUS),
# )
solve_in_loop(
model,
wd,
varP;
logdir = "./log/G2/r=$HALFRADIUS/Adj-$(UPPER_BOUND)Δ",
optimizer = scs_optimizer(;
linear_solver = SCS.MKLDirectSolver,
eps = 1e-9,
max_iters = 100_000,
accel = 50,
alpha = 1.95,
),
data = (elt = elt, unit = unit, halfradius = HALFRADIUS),
)