def test_directional_diff():
v = np.r_[1, -1]
v = v / np.linalg.norm(v)
x0 = [2, 3]
directional_diff = np.dot(nd.Gradient(rosen)(x0), v)
assert_allclose(directional_diff, 743.87633380824832)
dd, _info = nd.directionaldiff(rosen, x0, v, full_output=True)
assert_allclose(dd, 743.87633380824832)
def test_directional_diff():
v = np.r_[1, -1]
v = v / np.linalg.norm(v)
x0 = [2, 3]
directional_diff = np.dot(nd.Gradient(rosen)(x0), v)
assert_allclose(directional_diff, 743.87633380824832)
dd, _info = nd.directionaldiff(rosen, x0, v, full_output=True)
assert_allclose(dd, 743.87633380824832)
def test_directional_diff():
v = [1, -1]
x0 = [2, 3]
directional_diff = nd.directionaldiff(rosen, x0, v)
assert_allclose(directional_diff, 743.87633380824832)
def test_directional_diff():
v = [1, -1]
x0 = [2, 3]
directional_diff = nd.directionaldiff(rosen, x0, v)
assert_allclose(directional_diff, 743.87633380824832)
def test_directional_diff():
v = [1, -1]
x0 = [2, 3]
directional_diff = nd.directionaldiff(rosen, x0, v)
assert_array_almost_equal(directional_diff, 743.87633380824832)
def test_directional_diff():
v = [1, -1]
x0 = [2, 3]
directional_diff = nd.directionaldiff(rosen, x0, v)
assert_array_almost_equal(directional_diff, 743.87633380824832)
