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)