def test_swp_frgradient_relative():
startPoint = numpy.zeros(2, numpy.float)
optimi = optimizer.StandardOptimizer(
function=Quadratic(),
step=step.FRConjugateGradientStep(),
criterion=criterion.criterion(ftol=0.000001,
iterations_max=1000,
gtol=0.0001),
x0=startPoint,
line_search=line_search.StrongWolfePowellRule())
assert_almost_equal(optimi.optimize(),
numpy.array([1, 3], dtype=numpy.float))
def test_swpr_dygradient():
startPoint = numpy.empty(2, numpy.float)
startPoint[0] = -1.01
startPoint[-1] = 1.01
optimi = optimizer.StandardOptimizer(
function=Rosenbrock(2),
step=step.DYConjugateGradientStep(),
criterion=criterion.criterion(iterations_max=1000,
ftol=0.00000001,
gtol=0.0001),
x0=startPoint,
line_search=line_search.StrongWolfePowellRule())
assert_array_almost_equal(optimi.optimize(),
numpy.ones(2, numpy.float),
decimal=4)
