def test_mcp_newton_FB_FBLSA_2():
mcp = SN.MCP(n - 5, 5, mcp_function_2, mcp_Nablafunction_2)
z = np.zeros(n)
w = np.zeros(n)
SO = SN.SolverOptions(mcp, SN.SICONOS_MCP_NEWTON_FB_FBLSA)
info = SN.mcp_newton_FB_FBLSA(mcp, z, w, SO)
print("z = ", z)
print("w = ", w)
#assert (np.linalg.norm(z-zsol) <= ztol)
assert not info
def test_mcp_newton_min_FBLSA():
mcp = sn.MCP(0, 2, mcp_function, mcp_Nablafunction)
z = np.array([0., 0.])
w = np.array([0., 0.])
SO = sn.SolverOptions(sn.SICONOS_MCP_NEWTON_MIN_FBLSA)
info = sn.mcp_newton_min_FBLSA(mcp, z, w, SO)
print("z = ", z)
print("w = ", w)
assert np.linalg.norm(z - zsol) <= ztol
assert not info
def test_mcp_FB():
mcp=N.MCP(1,1,mcp_function,mcp_Nablafunction)
z = np.array([0., 0.])
w = np.array([0., 0.])
SO=N.SolverOptions(mcp,N.SICONOS_MCP_FB)
N.mcp_driver_init(mcp, SO)
info = N.mcp_FischerBurmeister(mcp, z, w, SO)
N.mcp_driver_reset(mcp, SO)
print("z = ", z)
print("w = ", w)
assert (np.linalg.norm(z-zsol) <= ztol)
assert not info
def test_mcp_newton_min_FBLSA_2():
n = 10
mcp = sn.MCP(n - 5, 5, mcp_function_2, mcp_Nablafunction_2)
z = np.zeros(n)
w = np.zeros(n)
options = sn.SolverOptions(sn.SICONOS_MCP_NEWTON_MIN_FBLSA)
options.iparam[sn.SICONOS_IPARAM_STOPPING_CRITERION] = \
sn.SICONOS_STOPPING_CRITERION_RESIDU
sn.solver_options_print(options)
info = sn.mcp_newton_min_FBLSA(mcp, z, w, options)
print("z = ", z)
print("w = ", w)
#assert (np.linalg.norm(z-zsol) <= ztol)
assert not info
def test_mcp_newton_min_FBLSA_2():
mcp = SN.MCP(n - 5, 5, mcp_function_2, mcp_Nablafunction_2)
z = np.zeros(n)
w = np.zeros(n)
SO = SN.SolverOptions(mcp, SN.SICONOS_MCP_NEWTON_MIN_FBLSA)
SO.internalSolvers.iparam[
SN.
SICONOS_IPARAM_STOPPING_CRITERION] = SN.SICONOS_STOPPING_CRITERION_RESIDU
SN.solver_options_print(SO)
info = SN.mcp_newton_min_FBLSA(mcp, z, w, SO)
print("z = ", z)
print("w = ", w)
#assert (np.linalg.norm(z-zsol) <= ztol)
assert not info
def test_new():
mcp=N.MCP(1, 1, mcp_function, mcp_Nablafunction)
