Source code for openmdao.solvers.linear.linear_block_jac

"""Define the LinearBlockJac class."""
from openmdao.solvers.solver import BlockLinearSolver


[docs]class LinearBlockJac(BlockLinearSolver): """ Linear block Jacobi solver. Parameters ---------- **kwargs : dict Options dictionary. """ SOLVER = 'LN: LNBJ' def _single_iteration(self): """ Perform the operations in the iteration loop. """ system = self._system() mode = self._mode subs = list(system._relevance.filter(system._subsystems_myproc)) scopelist = [None] * len(subs) if mode == 'fwd': system._transfer('linear', mode) for i, subsys in enumerate(subs): scope_out, scope_in = system._get_matvec_scope(subsys) scope_out = self._vars_union(self._scope_out, scope_out) scope_in = self._vars_union(self._scope_in, scope_in) scopelist[i] = (scope_out, scope_in) if subsys._iter_call_apply_linear(): subsys._apply_linear(None, mode, scope_out, scope_in) else: subsys._dresiduals.set_val(0.0) system._dresiduals *= -1.0 system._dresiduals += self._rhs_vec for i, subsys in enumerate(subs): scope_out, scope_in = scopelist[i] subsys._solve_linear(mode, scope_out, scope_in) else: # rev for i, subsys in enumerate(subs): scope_out, scope_in = system._get_matvec_scope(subsys) scope_out = self._vars_union(self._scope_out, scope_out) scope_in = self._vars_union(self._scope_in, scope_in) scopelist[i] = (scope_out, scope_in) if subsys._iter_call_apply_linear(): subsys._apply_linear(None, mode, scope_out, scope_in) else: subsys._doutputs.set_val(0.0) system._transfer('linear', mode) system._doutputs *= -1.0 system._doutputs += self._rhs_vec for i, subsys in enumerate(subs): scope_out, scope_in = scopelist[i] subsys._solve_linear(mode, scope_out, scope_in)