def test_bfgs_rosen():
obj = Rosenbrock()
opt = Bfgs(obj.pars, obj.f, obj.fprime)
for i, info in enumerate(opt):
if i > 50:
break
assert obj.solved(), 'did not find solution'
def test_ncg_rosen():
obj = Rosenbrock()
opt = NonlinearConjugateGradient(obj.pars, obj.f, obj.fprime)
for i, info in enumerate(opt):
if i > 14:
break
assert obj.solved(), 'did not find solution'
def test_ncg_rosen():
obj = Rosenbrock()
opt = NonlinearConjugateGradient(obj.pars, obj.f, obj.fprime)
for i, info in enumerate(opt):
if i > 14:
break
assert obj.solved(), 'did not find solution'
def test_xnes_rosen():
obj = Rosenbrock()
opt = Xnes(obj.pars, obj.f)
for i, info in enumerate(opt):
if i > 10000:
break
assert obj.solved(0.3), 'did not find solution'
def test_lbfgs_rosen():
obj = Rosenbrock()
opt = Lbfgs(obj.pars, obj.f, obj.fprime)
for i, info in enumerate(opt):
if i > 50:
break
assert obj.solved(), 'did not find solution'
def test_xnes_rosen():
obj = Rosenbrock()
opt = Xnes(obj.pars, obj.f)
for i, info in enumerate(opt):
if i > 10000:
break
assert obj.solved(0.3), "did not find solution"
def test_rprop_rosen():
obj = Rosenbrock()
opt = Rprop(obj.pars, obj.f, obj.fprime, step_shrink=0.1, step_grow=1.2,
min_step=1e-6, max_step=0.1)
for i, info in enumerate(opt):
if i > 5000:
break
assert obj.solved(), 'did not find solution'
def test_rprop_rosen():
obj = Rosenbrock()
opt = Rprop(obj.pars,
obj.fprime,
step_shrink=0.1,
step_grow=1.2,
min_step=1e-6,
max_step=0.1)
for i, info in enumerate(opt):
if i > 5000:
break
assert obj.solved(), 'did not find solution'
