kalmar/PropertyT.jl
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tweaking solvers parameters in tests

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Marek Kaluba 2024-02-15 22:45:21 +01:00
parent c9f68eee8f
commit d3975790f2
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4 changed files with 33 additions and 32 deletions
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33
test/1703.09680.jl
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@ -20,12 +20,12 @@
optimizer = scs_optimizer(; optimizer = scs_optimizer(;
eps = 1e-10, eps = 1e-10,
max_iters = 5_000, max_iters = 5_000,
accel = 50, accel = -50,
alpha = 1.9, alpha = 1.9,
), ),
) )
@test status == JuMP.ALMOST_OPTIMAL @test status == JuMP.OPTIMAL
@test !certified @test !certified
@test λ < 0 @test λ < 0
end end
@ -53,7 +53,7 @@
optimizer = scs_optimizer(; optimizer = scs_optimizer(;
eps = 1e-10, eps = 1e-10,
max_iters = 5_000, max_iters = 5_000,
accel = 50, accel = -50,
alpha = 1.9, alpha = 1.9,
), ),
) )
@ -65,15 +65,16 @@
m = PropertyT.sos_problem_dual(elt, unit) m = PropertyT.sos_problem_dual(elt, unit)
PropertyT.solve( PropertyT.solve(
m, m,
cosmo_optimizer(; scs_optimizer(;
eps = 1e-6, eps = 1e-3,
max_iters = 5_000, max_iters = 5_000,
accel = 50, accel = -50,
alpha = 1.9, alpha = 1.9,
), ),
) )
@test JuMP.termination_status(m) in (JuMP.ALMOST_OPTIMAL, JuMP.OPTIMAL) @test JuMP.termination_status(m) in
(JuMP.ITERATION_LIMIT, JuMP.ALMOST_OPTIMAL, JuMP.OPTIMAL)
@test JuMP.objective_value(m) ≈ 1.5 atol = 1e-2 @test JuMP.objective_value(m) ≈ 1.5 atol = 1e-2
end end
@ -98,12 +99,12 @@
optimizer = scs_optimizer(; optimizer = scs_optimizer(;
eps = 1e-10, eps = 1e-10,
max_iters = 5_000, max_iters = 5_000,
accel = 50, accel = -50,
alpha = 1.9, alpha = 1.9,
), ),
) )
@test status == JuMP.ALMOST_OPTIMAL @test status in (JuMP.ALMOST_OPTIMAL, JuMP.ITERATION_LIMIT)
@test λ < 0 @test λ < 0
@test !certified @test !certified
@ -111,14 +112,14 @@
status, _ = PropertyT.solve( status, _ = PropertyT.solve(
sos_problem, sos_problem,
cosmo_optimizer(; scs_optimizer(;
eps = 1e-7, eps = 1e-7,
max_iters = 10_000, max_iters = 5_000,
accel = 0, accel = -50,
alpha = 1.9, alpha = 1.9,
), ),
) )
@test status == JuMP.OPTIMAL @test status in (JuMP.OPTIMAL, JuMP.ITERATION_LIMIT)
P = JuMP.value.(sos_problem[:P]) P = JuMP.value.(sos_problem[:P])
Q = real.(sqrt(P)) Q = real.(sqrt(P))
certified, λ_cert = certified, λ_cert =
@ -149,11 +150,11 @@
status, _ = PropertyT.solve( status, _ = PropertyT.solve(
opt_problem, opt_problem,
cosmo_optimizer(; scs_optimizer(;
eps = 1e-10, eps = 1e-10,
max_iters = 10_000, max_iters = 10_000,
accel = 0, accel = 50,
alpha = 1.5, alpha = 1.9,
), ),
) )

4
test/1712.07167.jl
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@ -176,10 +176,10 @@
status, _ = PropertyT.solve( status, _ = PropertyT.solve(
opt_problem, opt_problem,
scs_optimizer(; cosmo_optimizer(;
eps = 1e-8, eps = 1e-8,
max_iters = 20_000, max_iters = 20_000,
accel = 0, accel = 50,
alpha = 1.9, alpha = 1.9,
), ),
) )

4
test/1812.03456.jl
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@ -130,7 +130,7 @@ end
wd; wd;
upper_bound = UB, upper_bound = UB,
halfradius = 2, halfradius = 2,
optimizer = cosmo_optimizer(; accel = 50, alpha = 1.9), optimizer = scs_optimizer(; accel = -50, alpha = 1.9),
) )
@test status == JuMP.OPTIMAL @test status == JuMP.OPTIMAL
@test certified @test certified
@ -156,7 +156,7 @@ end
m, _ = PropertyT.sos_problem_primal(elt, wd) m, _ = PropertyT.sos_problem_primal(elt, wd)
PropertyT.solve( PropertyT.solve(
m, m,
scs_optimizer(; max_iters = 5000, accel = 50, alpha = 1.9), scs_optimizer(; max_iters = 1000, accel = 50, alpha = 1.9),
) )
@test JuMP.termination_status(m) in @test JuMP.termination_status(m) in

24
test/quick_tests.jl
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@ -22,11 +22,11 @@
unit; unit;
upper_bound = ub, upper_bound = ub,
halfradius = 2, halfradius = 2,
optimizer = cosmo_optimizer(; optimizer = scs_optimizer(;
eps = 1e-7, eps = 1e-8,
max_iters = 5_000, max_iters = 20_000,
accel = 50, accel = -50,
alpha = 1.95, alpha = 1.9,
), ),
) )
@ -37,11 +37,11 @@
m = PropertyT.sos_problem_dual(elt, unit) m = PropertyT.sos_problem_dual(elt, unit)
PropertyT.solve( PropertyT.solve(
m, m,
cosmo_optimizer(; scs_optimizer(;
eps = 1e-7, eps = 1e-8,
max_iters = 10_000, max_iters = 10_000,
accel = 50, accel = -50,
alpha = 1.95, alpha = 1.9,
), ),
) )
@ -73,10 +73,10 @@
wd; wd;
upper_bound = ub, upper_bound = ub,
halfradius = 2, halfradius = 2,
optimizer = cosmo_optimizer(; optimizer = scs_optimizer(;
eps = 1e-7, eps = 1e-8,
max_iters = 10_000, max_iters = 10_000,
accel = 50, accel = -50,
alpha = 1.9, alpha = 1.9,
), ),
) )