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import math, unittest
import scipy
import spmatrix, superlu
import poisson
def residual(A, x, b):
n = A.shape[0]
r = numpy.zeros(n, 'd')
A.matvec(x, r)
r -= b
return math.sqrt(numpy.dot(r, r))
def error(x, y):
n = len(x)
t = x.copy(); t -= y
return math.sqrt(numpy.dot(t, t))
def speye(n):
A = spmatrix.ll_mat_sym(n, n)
for i in xrange(n):
A[i,i] = 1.0
return A
def macheps():
"compute machine epsilon"
eps = 1.0
while (1.0 + eps > 1.0):
eps /= 2.0
return 2.0 * eps
class EyeTestCase(unittest.TestCase):
def setUp(self):
self.n = 10000
self.A = speye(self.n).to_csr()
self.b = numpy.ones(self.n, 'd')
self.x = numpy.zeros(self.n, 'd')
def testTrivial(self):
luA = superlu.factorize(self.A)
luA.solve(self.b, self.x)
self.failUnless(residual(self.A, self.x, self.b) == 0.0)
luA = superlu.factorize(self.A, diag_pivot_thresh=0.0)
luA.solve(self.b, self.x)
self.failUnless(residual(self.A, self.x, self.b) == 0.0)
luA = superlu.factorize(self.A, relax=20)
luA.solve(self.b, self.x)
self.failUnless(residual(self.A, self.x, self.b) == 0.0)
luA = superlu.factorize(self.A, panel_size=1)
luA.solve(self.b, self.x)
self.failUnless(residual(self.A, self.x, self.b) == 0.0)
for permc_spec in [0, 1, 2, 3]:
luA = superlu.factorize(self.A, permc_spec=permc_spec)
luA.solve(self.b, self.x)
self.failUnless(residual(self.A, self.x, self.b) == 0.0)
class Poisson1dTestCase(unittest.TestCase):
def setUp(self):
self.n = 50000
self.B = poisson.poisson1d(self.n).to_csr()
self.b = numpy.zeros(self.n, 'd')
self.x = numpy.zeros(self.n, 'd')
self.x_exact = numpy.ones(self.n, 'd')
self.x_exact /= math.sqrt(self.n)
self.B.matvec(self.x_exact, self.b)
lmbd_min = 4.0 * math.sin(math.pi/2.0/self.n) ** 2
lmbd_max = 4.0 * math.sin((self.n - 1)*math.pi/2.0/self.n) ** 2
cond = lmbd_max/lmbd_min
self.tol = cond * macheps()
def testPoisson1dDefault(self):
luA = superlu.factorize(self.B)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dNoPivot(self):
luA = superlu.factorize(self.B, diag_pivot_thresh=0.0)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dRelax(self):
luA = superlu.factorize(self.B, relax=20)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dSmallPanel(self):
luA = superlu.factorize(self.B, panel_size=1)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dOrigOrdering(self):
luA = superlu.factorize(self.B, permc_spec=0)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dMMD_AtimesA(self):
luA = superlu.factorize(self.B, permc_spec=1)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dMMD_AplusA(self):
luA = superlu.factorize(self.B, permc_spec=2)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson1dCOLAMD(self):
luA = superlu.factorize(self.B, permc_spec=3)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
class Poisson2dTestCase(unittest.TestCase):
def setUp(self):
self.n = 200
self.B = poisson.poisson2d(self.n).to_csr()
self.b = numpy.zeros(self.n*self.n, 'd')
self.x = numpy.zeros(self.n*self.n, 'd')
self.x_exact = numpy.ones(self.n*self.n, 'd')
self.x_exact /= math.sqrt(self.n*self.n)
self.B.matvec(self.x_exact, self.b)
h = 1.0 / self.n
lmbd_min = 4.0/h/h * (math.sin(math.pi*h/2.0) ** 2 +
math.sin(math.pi*h/2.0) ** 2)
lmbd_max = 4.0/h/h * (math.sin((self.n - 1)*math.pi*h/2.0) ** 2 +
math.sin((self.n - 1)*math.pi*h/2.0) ** 2)
cond = lmbd_max/lmbd_min
self.tol = cond * macheps()
def testPoisson2dDefault(self):
luA = superlu.factorize(self.B)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dNoPivot(self):
luA = superlu.factorize(self.B, diag_pivot_thresh=0.0)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dRelax(self):
luA = superlu.factorize(self.B, relax=20)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dSmallPanel(self):
luA = superlu.factorize(self.B, panel_size=1)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dOrigOrdering(self):
luA = superlu.factorize(self.B, permc_spec=0)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dMMD_AtimesA(self):
luA = superlu.factorize(self.B, permc_spec=1)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dMMD_AplusA(self):
luA = superlu.factorize(self.B, permc_spec=2)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
def testPoisson2dCOLAMD(self):
luA = superlu.factorize(self.B, permc_spec=3)
luA.solve(self.b, self.x)
print error(self.x, self.x_exact), self.tol, luA.nnz
self.failUnless(error(self.x, self.x_exact) < self.tol)
if __name__ == '__main__':
unittest.main()
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