def solve(self, state0=None, nls_status=None,
ls_conf=None, nls_conf=None, force_values=None,
var_data=None):
"""Solve self.equations in current time step.
Parameters
----------
var_data : dict
A dictionary of {variable_name : data vector} used to initialize
parameter variables.
"""
solvers = self.get_solvers()
if solvers is None:
self.init_solvers(nls_status, ls_conf, nls_conf)
solvers = self.get_solvers()
if state0 is None:
state0 = State(self.equations.variables)
else:
if isinstance(state0, nm.ndarray):
state0 = State(self.equations.variables, vec=state0)
self.equations.set_data(var_data, ignore_unknown=True)
self.update_materials()
state0.apply_ebc(force_values=force_values)
vec0 = state0.get_reduced()
vec = solvers.nls(vec0)
state = state0.copy(preserve_caches=True)
state.set_reduced(vec, preserve_caches=True)
return state
def __init__(self, conf, **kwargs):
from sfepy.fem.state import State
ScipyDirect.__init__(self, conf, **kwargs)
equations = self.problem.equations
aux_state = State(equations.variables)
conf.idxs = {}
for bk, bv in conf.blocks.iteritems():
aux_state.fill(0.0)
for jj in bv:
idx = equations.variables.di.indx[jj]
aux_state.vec[idx] = nm.nan
aux_state.apply_ebc()
vec0 = aux_state.get_reduced()
conf.idxs[bk] = nm.where(nm.isnan(vec0))[0]
def __init__(self, conf, **kwargs):
from sfepy.fem.state import State
ScipyDirect.__init__(self, conf, **kwargs)
equations = self.problem.equations
aux_state = State(equations.variables)
conf.idxs = {}
for bk, bv in conf.blocks.iteritems():
aux_state.fill(0.0)
for jj in bv:
idx = equations.variables.di.indx[jj]
aux_state.vec[idx] = nm.nan
aux_state.apply_ebc()
vec0 = aux_state.get_reduced()
conf.idxs[bk] = nm.where(nm.isnan(vec0))[0]
def solve(self,
state0=None,
nls_status=None,
ls_conf=None,
nls_conf=None,
force_values=None,
var_data=None):
"""Solve self.equations in current time step.
Parameters
----------
var_data : dict
A dictionary of {variable_name : data vector} used to initialize
parameter variables.
"""
solvers = self.get_solvers()
if solvers is None:
self.init_solvers(nls_status, ls_conf, nls_conf)
solvers = self.get_solvers()
if state0 is None:
state0 = State(self.equations.variables)
else:
if isinstance(state0, nm.ndarray):
state0 = State(self.equations.variables, vec=state0)
self.equations.set_data(var_data, ignore_unknown=True)
self.update_materials()
state0.apply_ebc(force_values=force_values)
vec0 = state0.get_reduced()
vec = solvers.nls(vec0)
state = state0.copy(preserve_caches=True)
state.set_reduced(vec, preserve_caches=True)
return state
