def run_fsolver():
params = numx.array((1., 10.)) * 1.
mysys = multiroots.gsl_multiroot_function(rosenbrock_f, params, 2)
#solver = multiroots.hybrids(mysys, 2)
solver = multiroots.dnewton(mysys, 2)
#solver = multiroots.broyden(mysys, 2)
#solver = multiroots.hybrid(mysys, 2)
tmp = numx.array((-10., -5.), )
solver.set(tmp)
print "# Testing solver ", solver.name()
print "# %5s %9s %9s %9s %10s" % ("iter", "x[0]", "x[1]", "f[0]", "f[1]")
for iter in range(100):
status = solver.iterate()
r = solver.root()
x = solver.getx()
f = solver.getf()
status = multiroots.test_residual(f, 1e-7)
if status == errno.GSL_SUCCESS:
print "# Converged :"
print " %5d % .7f % .7f % .7f % .7f" % (iter, x[0], x[1], f[0],
f[1])
if status == errno.GSL_SUCCESS:
break
else:
raise ValueError, "Number of Iterations exceeded!"
def run_fsolver():
params = numx.array((1., 10.)) * 1.
mysys = multiroots.gsl_multiroot_function(rosenbrock_f, params, 2)
#solver = multiroots.hybrids(mysys, 2)
solver = multiroots.dnewton(mysys, 2)
#solver = multiroots.broyden(mysys, 2)
#solver = multiroots.hybrid(mysys, 2)
tmp = numx.array((-10., -5.),)
solver.set(tmp)
print "# Testing solver ", solver.name()
print "# %5s %9s %9s %9s %10s" % ("iter", "x[0]", "x[1]", "f[0]", "f[1]")
for iter in range(100):
status = solver.iterate()
r = solver.root()
x = solver.getx()
f = solver.getf()
status = multiroots.test_residual(f, 1e-7)
if status == errno.GSL_SUCCESS:
print "# Converged :"
print " %5d % .7f % .7f % .7f % .7f" %(iter, x[0], x[1], f[0], f[1])
if status == errno.GSL_SUCCESS:
break
else:
raise ValueError, "Number of Iterations exceeded!"
def test_dnewton(self):
solver = multiroots.dnewton(self.sys, self._getsize())
self._run(solver)
def test_dnewton(self):
solver = multiroots.dnewton(self.sys, self._getsize())
self._run(solver)