def res():
if name == 'direct':
lhs = model.solve_linear( dofs, residual=residual, constrain=cons )
else:
lhs = model.newton( dofs, residual=residual, lhs0=cons|0, freezedofs=cons.where ).solve( tol=1e-10, maxiter=0 )
res = residual.replace( dofs, lhs ).eval()
resnorm = numpy.linalg.norm( res[~cons.where] )
assert resnorm < 1e-13
def res():
tol = 1e-10
if name == 'direct':
lhs = model.solve_linear( dofs, residual=residual, constrain=cons )
elif name == 'newton':
lhs = model.newton( dofs, residual=residual, lhs0=lhs0, freezedofs=cons.where ).solve( tol=tol, maxiter=2 )
else:
lhs = model.pseudotime( dofs, residual=residual, lhs0=lhs0, freezedofs=cons.where, inertia=inertia, timestep=1 ).solve( tol=tol, maxiter=3 )
res = residual.replace( dofs, lhs ).eval()
resnorm = numpy.linalg.norm( res[~cons.where] )
assert resnorm < tol
def res():
if name == 'direct':
lhs = model.solve_linear(dofs,
residual=residual,
constrain=cons)
else:
lhs = model.newton(dofs,
residual=residual,
lhs0=cons | 0,
freezedofs=cons.where).solve(tol=1e-10,
maxiter=0)
res = residual.replace(dofs, lhs).eval()
resnorm = numpy.linalg.norm(res[~cons.where])
assert resnorm < 1e-13
def res():
tol = 1e-10
if name == 'direct':
lhs = model.solve_linear(dofs,
residual=residual,
constrain=cons)
elif name == 'newton':
lhs = model.newton(dofs,
residual=residual,
lhs0=lhs0,
freezedofs=cons.where).solve(tol=tol,
maxiter=2)
else:
lhs = model.pseudotime(dofs,
residual=residual,
lhs0=lhs0,
freezedofs=cons.where,
inertia=inertia,
timestep=1).solve(tol=tol, maxiter=3)
res = residual.replace(dofs, lhs).eval()
resnorm = numpy.linalg.norm(res[~cons.where])
assert resnorm < tol
