status = 1
hpddm.schwarzDestroy(ctypes.byref(A))
else:
S = ctypes.POINTER(hpddm.Subdomain)()
hpddm.subdomainNumfact(ctypes.byref(S), Mat)
hpddm.subdomainSolve(S, f, sol)
nrmb = numpy.linalg.norm(f, axis = 0)
tmp = numpy.empty_like(f)
hpddm.csrmv(Mat, sol, tmp)
tmp -= f
nrmAx = numpy.linalg.norm(tmp, axis = 0)
if mu == 0:
nrmb = [ nrmb ]
nrmAx = [ nrmAx ]
mu = 1
for nu in xrange(mu):
if nu == 0:
print(' --- error = ', end = '')
else:
print(' ', end = '')
print('{:e} / {:e}'.format(nrmAx[nu], nrmb[nu]), end = '')
if mu > 1:
print(' (rhs #{:d})'.format(nu + 1), end = '')
print('')
if nrmAx[nu] / nrmb[nu] > (1.0e-6 if ctypes.sizeof(hpddm.underlying) == ctypes.sizeof(ctypes.c_double) else 1.0e-2):
status = 1
hpddm.subdomainDestroy(ctypes.byref(S))
hpddm.matrixCSRDestroy(ctypes.byref(Mat))
hpddm.matrixCSRDestroy(ctypes.byref(MatNeumann))
sys.exit(status)
status = 1
hpddm.schwarzDestroy(ctypes.byref(A))
else:
S = ctypes.POINTER(hpddm.Subdomain)()
hpddm.subdomainNumfact(ctypes.byref(S), Mat)
hpddm.subdomainSolve(S, f, sol)
nrmb = numpy.linalg.norm(f, axis = 0)
tmp = numpy.empty_like(f)
hpddm.csrmv(Mat, sol, tmp)
tmp -= f
nrmAx = numpy.linalg.norm(tmp, axis = 0)
if mu == 0:
nrmb = [ nrmb ]
nrmAx = [ nrmAx ]
mu = 1
for nu in xrange(mu):
if nu == 0:
print(' --- residual = ', end = '')
else:
print(' ', end = '')
print('{:e} / {:e}'.format(nrmAx[nu], nrmb[nu]), end = '')
if mu > 1:
print(' (rhs #{:d})'.format(nu + 1), end = '')
print('')
if nrmAx[nu] / nrmb[nu] > (1.0e-6 if ctypes.sizeof(hpddm.underlying) == ctypes.sizeof(ctypes.c_double) else 1.0e-2):
status = 1
hpddm.subdomainDestroy(ctypes.byref(S))
hpddm.matrixCSRDestroy(ctypes.byref(Mat))
hpddm.matrixCSRDestroy(ctypes.byref(MatNeumann))
sys.exit(status)
