def test_bfgs_scalar_verbose():
initial_guess = Number(2)
xstar, _, _ = optimizations.bfgs(quadratic, initial_guess, verbose=True)
assert xstar.val == pytest.approx(1)
def test_bfgs_scalar_correct_start():
initial_guess = Number(1)
xstar, _, _ = optimizations.bfgs(quadratic, initial_guess)
assert xstar.val == pytest.approx(1)
def test_bfgs_verbose():
initial_guess = Array([Number(2), Number(1)])
xstar, _, _ = optimizations.bfgs(rosenbrock, initial_guess, verbose=True)
assert xstar[0].val == pytest.approx(1)
assert xstar[1].val == pytest.approx(1)
def test_bfgs_correct_start():
initial_guess = Array([Number(1), Number(1)])
xstar, _, _ = optimizations.bfgs(rosenbrock, initial_guess)
assert xstar[0].val == pytest.approx(1)
assert xstar[1].val == pytest.approx(1)