RandomNumberGeneration::RandomNumberGeneration(const std::string & name, InputParameters parameters) :
Function(name, parameters),
_min(getParam<Real>("min")),
_max(getParam<Real>("max")),
_range(_max - _min)
{
mooseAssert(_range > 0.0, "Min > Max for RandomIC!");
MooseRandom::seed(getParam<unsigned int>("seed"));
}
VectorPostprocessorData::VectorPostprocessorState &
VectorPostprocessorData::getVectorPostprocessorHelper(const VectorPostprocessorName & vpp_name,
const std::string & vector_name,
bool get_current,
bool contains_complete_history,
bool is_broadcast,
bool needs_broadcast,
bool needs_scatter)
{
// Retrieve or create the data structure for this VPP
auto vec_it_pair = _vpp_data.emplace(
std::piecewise_construct, std::forward_as_tuple(vpp_name), std::forward_as_tuple());
auto & vec_storage = vec_it_pair.first->second;
// If the VPP is declaring a vector, see if complete history is needed. Note: This parameter
// is constant and applies to _all_ declared vectors.
vec_storage._contains_complete_history |= contains_complete_history;
// If the VPP is declaring a vector, see if it will already be replicated in parallel.
// Note: This parameter is constant and applies to _all_ declared vectors.
vec_storage._is_broadcast |= is_broadcast;
// Keep track of whether an old vector is needed for copying back later.
if (!get_current)
vec_storage._needs_old = true;
// lambda for doing comparison on name (i.e., first item in pair)
auto comp = [&vector_name](std::pair<std::string, VectorPostprocessorState> & pair) {
return pair.first == vector_name;
};
// Search for the vector, if it is not located create the entry in the storage
auto iter = std::find_if(vec_storage._values.rbegin(), vec_storage._values.rend(), comp);
if (iter == vec_storage._values.rend())
{
vec_storage._values.emplace_back(
std::piecewise_construct, std::forward_as_tuple(vector_name), std::forward_as_tuple());
iter = vec_storage._values.rbegin();
}
auto & vec_struct = iter->second;
if (!vec_struct.current)
{
mooseAssert(!vec_struct.old, "Uninitialized pointers in VectorPostprocessor Data");
vec_struct.current = &declareRestartableDataWithObjectName<VectorPostprocessorValue>(
vpp_name + "_" + vector_name, "values");
vec_struct.old = &declareRestartableDataWithObjectName<VectorPostprocessorValue>(
vpp_name + "_" + vector_name, "values_old");
}
// Does the VPP need to be broadcast after computing
vec_struct.needs_broadcast |= needs_broadcast;
// Does the VPP need to be scattered after computing
vec_struct.needs_scatter |= needs_scatter;
return vec_struct;
}
Point
FauxGrainTracker::getGrainCentroid(unsigned int grain_index) const
{
const auto grain_center = _centroid.find(grain_index);
mooseAssert(grain_center != _centroid.end(),
"Grain " << grain_index << " does not exist in data structure");
return grain_center->second;
}
Number
MooseVariable::getNodalValue(const Node & node)
{
mooseAssert(_subproblem.mesh().isSemiLocal(const_cast<Node *>(&node)), "Node is not Semilocal");
// Make sure that the node has DOFs
/* Note, this is a reproduction of an assert within libMesh::Node::dof_number, this is done to
* produce a
* better error (see misc/check_error.node_value_off_block) */
mooseAssert(node.n_dofs(_sys.number(), _var_num) > 0,
"Node " << node.id() << " does not contain any dofs for the "
<< _sys.system().variable_name(_var_num)
<< " variable");
dof_id_type dof = node.dof_number(_sys.number(), _var_num, 0);
return (*_sys.currentSolution())(dof);
}
void
VolumeHistogram::threadJoin(const UserObject & y)
{
const VolumeHistogram & uo = static_cast<const VolumeHistogram &>(y);
mooseAssert(uo._volume_tmp.size() == _volume_tmp.size(), "Inconsistent volume vector lengths across threads.");
for (auto i = beginIndex(_volume_tmp); i < _volume_tmp.size(); ++i)
_volume_tmp[i] += uo._volume_tmp[i];
}
void
VolumeHistogram::threadJoin(const UserObject & y)
{
const VolumeHistogram & uo = static_cast<const VolumeHistogram &>(y);
mooseAssert(uo._volume.size() == _volume.size(), "Inconsistent volume vector lengths across threads.");
for (unsigned int i = 0; i < _volume.size(); ++i)
_volume[i] += uo._volume[i];
}
void
StiffenedGasFluidProperties::e_dprho(
Real pressure, Real rho, Real & e, Real & de_dp, Real & de_drho) const
{
mooseAssert((_gamma - 1) * rho != 0., "Invalid gamma or density detected!");
e = this->e(pressure, rho);
de_dp = 1. / ((_gamma - 1) * rho);
de_drho = -(pressure + _gamma * _p_inf) / ((_gamma - 1) * rho * rho);
}
void
AEFVFreeOutflowBoundaryFlux::calcJacobian(unsigned int /*iside*/,
dof_id_type /*ielem*/,
const std::vector<Real> & libmesh_dbg_var(uvec1),
const RealVectorValue & /*dwave*/,
DenseMatrix<Real> & /*jac1*/) const
{
mooseAssert(uvec1.size() == 1, "Invalid size for uvec1. Must be single variable coupling.");
}
const std::set<SubdomainID> *
SystemBase::getVariableBlocks(unsigned int var_number)
{
mooseAssert(_var_map.find(var_number) != _var_map.end(), "Variable does not exist.");
if (_var_map[var_number].empty())
return NULL;
else
return & _var_map[var_number];
}
void
PerfGraph::recursivelyPrintHeaviestGraph(PerfNode * current_node,
FullTable & vtable,
unsigned int current_depth)
{
mooseAssert(!_section_time_ptrs.empty(),
"updateTiming() must be run before recursivelyPrintGraph!");
auto & name = _id_to_section_name[current_node->id()];
auto section = std::string(current_depth * 2, ' ') + name;
// The total time of the root node
auto total_root_time = _section_time_ptrs[0]->_total;
auto num_calls = current_node->numCalls();
auto self = std::chrono::duration<double>(current_node->selfTime()).count();
auto self_avg = self / static_cast<Real>(num_calls);
auto self_percent = 100. * self / total_root_time;
auto children = std::chrono::duration<double>(current_node->childrenTime()).count();
auto children_avg = children / static_cast<Real>(num_calls);
auto children_percent = 100. * children / total_root_time;
auto total = std::chrono::duration<double>(current_node->totalTime()).count();
auto total_avg = total / static_cast<Real>(num_calls);
auto total_percent = 100. * total / total_root_time;
vtable.addRow(section,
num_calls,
self,
self_avg,
self_percent,
children,
children_avg,
children_percent,
total,
total_avg,
total_percent);
current_depth++;
if (!current_node->children().empty())
{
PerfNode * heaviest_child = nullptr;
for (auto & child_it : current_node->children())
{
auto current_child = child_it.second.get();
if (!heaviest_child || (current_child->totalTime() > heaviest_child->totalTime()))
heaviest_child = current_child;
}
recursivelyPrintHeaviestGraph(heaviest_child, vtable, current_depth);
}
}
void
MultiPlasticityLinearSystem::calculateConstraints(const RankTwoTensor & stress, const std::vector<Real> & intnl_old, const std::vector<Real> & intnl, const std::vector<Real> & pm, const RankTwoTensor & delta_dp, std::vector<Real> & f, std::vector<RankTwoTensor> & r, RankTwoTensor & epp, std::vector<Real> & ic, const std::vector<bool> & active)
{
// see comments at the start of .h file
mooseAssert(intnl_old.size() == _num_models, "Size of intnl_old is " << intnl_old.size() << " which is incorrect in calculateConstraints");
mooseAssert(intnl.size() == _num_models, "Size of intnl is " << intnl.size() << " which is incorrect in calculateConstraints");
mooseAssert(pm.size() == _num_surfaces, "Size of pm is " << pm.size() << " which is incorrect in calculateConstraints");
mooseAssert(active.size() == _num_surfaces, "Size of active is " << active.size() << " which is incorrect in calculateConstraints");
// yield functions
yieldFunction(stress, intnl, active, f);
// flow directions and "epp"
flowPotential(stress, intnl, active, r);
epp = RankTwoTensor();
unsigned ind = 0;
for (unsigned surface = 0 ; surface < _num_surfaces ; ++surface)
if (active[surface])
epp += pm[surface]*r[ind++]; // note, even the deactivated_due_to_ld must get added in
epp -= delta_dp;
// internal constraints
std::vector<Real> h;
hardPotential(stress, intnl, active, h);
ic.resize(0);
ind = 0;
std::vector<unsigned int> active_surfaces;
std::vector<unsigned int>::iterator active_surface;
for (unsigned model = 0 ; model < _num_models ; ++model)
{
activeSurfaces(model, active, active_surfaces);
if (active_surfaces.size() > 0)
{
// some surfaces are active in this model, so must form an internal constraint
ic.push_back(intnl[model] - intnl_old[model]);
for (active_surface = active_surfaces.begin() ; active_surface != active_surfaces.end() ; ++active_surface)
ic[ic.size()-1] += pm[*active_surface]*h[ind++]; // we know the correct one is h[ind] since it was constructed in the same manner
}
}
}
void
PerfGraph::printHeaviestSections(const ConsoleStream & console, const unsigned int num_sections)
{
updateTiming();
console << "\nHeaviest Sections:\n";
// Indirect Sort The Self Time
std::vector<size_t> sorted;
Moose::indirectSort(_section_time_ptrs.begin(),
_section_time_ptrs.end(),
sorted,
[](SectionTime * lhs, SectionTime * rhs) {
if (lhs && rhs)
return lhs->_self > rhs->_self;
// If the LHS exists - it's definitely bigger than a non-existant RHS
if (lhs)
return true;
// Both don't exist - so it doesn't matter how we sort them
return false;
});
HeaviestTable vtable({"Section", "Calls", "Self(s)", "Avg.", "%"}, 10);
vtable.setColumnFormat({VariadicTableColumnFormat::AUTO, // Doesn't matter
VariadicTableColumnFormat::AUTO,
VariadicTableColumnFormat::FIXED,
VariadicTableColumnFormat::FIXED,
VariadicTableColumnFormat::PERCENT});
vtable.setColumnPrecision({1, 1, 3, 3, 2});
mooseAssert(!_section_time_ptrs.empty(),
"updateTiming() must be run before printHeaviestSections()!");
// The total time of the root node
auto total_root_time = _section_time_ptrs[0]->_total;
// Now print out the largest ones
for (unsigned int i = 0; i < num_sections; i++)
{
auto id = sorted[i];
vtable.addRow(_id_to_section_name[id],
_section_time_ptrs[id]->_num_calls,
_section_time_ptrs[id]->_self,
_section_time_ptrs[id]->_self /
static_cast<Real>(_section_time_ptrs[id]->_num_calls),
100 * _section_time_ptrs[id]->_self / total_root_time);
}
vtable.print(console);
}
void
RestartableDataIO::readRestartableDataHeader(std::string base_file_name)
{
unsigned int n_threads = libMesh::n_threads();
processor_id_type n_procs = _fe_problem.n_processors();
processor_id_type proc_id = _fe_problem.processor_id();
for (unsigned int tid=0; tid<n_threads; tid++)
{
std::ostringstream file_name_stream;
file_name_stream << base_file_name;
file_name_stream << "-" << proc_id;
if (n_threads > 1)
file_name_stream << "-" << tid;
std::string file_name = file_name_stream.str();
MooseUtils::checkFileReadable(file_name);
const unsigned int file_version = 2;
mooseAssert(_in_file_handles[tid] == NULL, "Looks like you might be leaking in RestartableDataIO.C");
_in_file_handles[tid] = new std::ifstream(file_name.c_str(), std::ios::in | std::ios::binary);
// header
char id[2];
_in_file_handles[tid]->read(id, 2);
unsigned int this_file_version;
_in_file_handles[tid]->read((char *)&this_file_version, sizeof(this_file_version));
processor_id_type this_n_procs = 0;
unsigned int this_n_threads = 0;
_in_file_handles[tid]->read((char *)&this_n_procs, sizeof(this_n_procs));
_in_file_handles[tid]->read((char *)&this_n_threads, sizeof(this_n_threads));
// check the header
if (id[0] != 'R' || id[1] != 'D')
mooseError("Corrupted restartable data file!");
// check the file version
if (this_file_version > file_version)
mooseError("Trying to restart from a newer file version - you need to update MOOSE");
if (this_file_version < file_version)
mooseError("Trying to restart from an older file version - you need to checkout an older version of MOOSE.");
if (this_n_procs != n_procs)
mooseError("Cannot restart using a different number of processors!");
if (this_n_threads != n_threads)
mooseError("Cannot restart using a different number of threads!");
}
}
RankFourTensor::RankFourTensor()
{
mooseAssert(N == 3, "RankFourTensor is currently only tested for 3 dimensions.");
for (unsigned int i = 0; i < N; ++i)
for (unsigned int j = 0; j < N; ++j)
for (unsigned int k = 0; k < N; ++k)
for (unsigned int l = 0; l < N; ++l)
_vals[i][j][k][l] = 0.0;
}
template<> void dataStore(std::ostream & stream, GrainTracker::UniqueGrain * & unique_grain, void * context)
{
mooseAssert(unique_grain, "Unique Grain Pointer is NULL");
storeHelper(stream, unique_grain->variable_idx, context);
storeHelper(stream, unique_grain->status, context);
storeHelper(stream, unique_grain->sphere_ptrs, context);
// We do not need to store the entities_ptrs structure. This information is not necessary for restart.
}
void
StiffenedGasFluidProperties::rho_dpT(
Real pressure, Real temperature, Real & rho, Real & drho_dp, Real & drho_dT) const
{
mooseAssert(((_gamma - 1) * _cv * temperature) != 0.0,
"Invalid gamma or cv or temperature detected!");
rho = (pressure + _p_inf) / ((_gamma - 1) * _cv * temperature);
drho_dp = 1. / ((_gamma - 1) * _cv * temperature);
drho_dT = -(pressure + _p_inf) / ((_gamma - 1) * _cv * temperature * temperature);
}
void
Sampler::setSampleNames(const std::vector<std::string> & names)
{
_sample_names = names;
// Use assert because to check the size a getSamples call is required, which you don't
// want to do if you don't need it.
mooseAssert(getSamples().size() == _sample_names.size(),
"The number of sample names must match the number of samples returned.");
}
Real
ElementUOIC::value(const Point & /*p*/)
{
mooseAssert(_current_elem, "Current Elem is nullptr");
if (_field_type == "long")
return _elem_uo.getElementalValueLong(_current_elem->id(), _field_name);
else
return _elem_uo.getElementalValueReal(_current_elem->id(), _field_name);
}
void
Adaptivity::uniformRefine(MooseMesh *mesh)
{
mooseAssert(mesh, "Mesh pointer must not be NULL");
// NOTE: we are using a separate object here, since adaptivity may not be on, but we need to be able to do refinements
MeshRefinement mesh_refinement(*mesh);
unsigned int level = mesh->uniformRefineLevel();
mesh_refinement.uniformly_refine(level);
}
void
FeatureFloodCount::buildFeatureIdToLocalIndices(unsigned int max_id)
{
_feature_id_to_local_index.assign(max_id + 1, invalid_size_t);
for (auto feature_index = beginIndex(_feature_sets); feature_index < _feature_sets.size(); ++feature_index)
{
mooseAssert(_feature_sets[feature_index]._id <= max_id, "Feature ID out of range");
_feature_id_to_local_index[_feature_sets[feature_index]._id] = feature_index;
}
}
PolycrystalUserObjectBase::PolycrystalUserObjectBase(const InputParameters & parameters)
: FeatureFloodCount(parameters),
_dim(_mesh.dimension()),
_op_num(_vars.size()),
_coloring_algorithm(getParam<MooseEnum>("coloring_algorithm")),
_colors_assigned(false),
_output_adjacency_matrix(getParam<bool>("output_adjacency_matrix"))
{
mooseAssert(_single_map_mode, "Do not turn off single_map_mode with this class");
}
void
TensorMechanicsPlasticModel::activeConstraints(const std::vector<Real> & f, const RankTwoTensor & /*stress*/, Real /*intnl*/,
const RankFourTensor & /*Eijkl*/, std::vector<bool> & act,
RankTwoTensor & /*returned_stress*/) const
{
mooseAssert(f.size() == numberSurfaces(), "f incorrectly sized at " << f.size() << " in activeConstraints");
act.resize(numberSurfaces());
for (unsigned surface = 0; surface < numberSurfaces(); ++surface)
act[surface] = (f[surface] > _f_tol);
}
void
FeatureFloodCount::visitNodalNeighbors(const Node * node, unsigned long current_idx, FeatureData * feature, bool expand_halos_only)
{
mooseAssert(node, "Node is NULL");
std::vector<const Node *> all_active_neighbors;
MeshTools::find_nodal_neighbors(_mesh.getMesh(), *node, _nodes_to_elem_map, all_active_neighbors);
visitNeighborsHelper(node, all_active_neighbors, current_idx, feature, expand_halos_only);
}
bool
BlockRestrictable::hasBlocks(std::set<SubdomainID> ids) const
{
mooseAssert(_initialized, "BlockRestrictable not initialized");
if (_blk_ids.empty() || _blk_ids.find(Moose::ANY_BLOCK_ID) != _blk_ids.end())
return true;
else
return std::includes(_blk_ids.begin(), _blk_ids.end(), ids.begin(), ids.end());
}
Real
NearestNodeValueAux::computeValue()
{
// Assumes the variable you are coupling to is from the nonlinear system for now.
const Node * nearest = _nearest_node.nearestNode(_current_node->id());
mooseAssert(nearest != NULL, "I do not have the nearest node for you");
dof_id_type dof_number = nearest->dof_number(_nl_sys.number(), _paired_variable, 0);
return (*_serialized_solution)(dof_number);
}
bool
BlockRestrictable::hasBlocks(SubdomainID id) const
{
mooseAssert(_initialized, "BlockRestrictable not initialized");
if (_blk_ids.empty() || _blk_ids.find(Moose::ANY_BLOCK_ID) != _blk_ids.end())
return true;
else
return _blk_ids.find(id) != _blk_ids.end();
}
RndSmoothCircleIC::RndSmoothCircleIC(const std::string & name,
InputParameters parameters)
:InitialCondition(name, parameters),
_x1(parameters.get<Real>("x1")),
_y1(parameters.get<Real>("y1")),
_z1(parameters.get<Real>("z1")),
_mx_invalue(parameters.get<Real>("mx_invalue")),
_mn_invalue(parameters.get<Real>("mn_invalue")),
_mx_outvalue(parameters.get<Real>("mx_outvalue")),
_mn_outvalue(parameters.get<Real>("mn_outvalue")),
_range_invalue(_mx_invalue - _mn_invalue),
_range_outvalue(_mx_outvalue - _mn_outvalue),
_radius(parameters.get<Real>("radius")),
_center(_x1,_y1,_z1)
{
mooseAssert(_range_invalue >= 0.0, "Inside Min > Max for RndSmoothCircleIC!");
mooseAssert(_range_outvalue >= 0.0, "Outside Min > Max for RndSmoothCircleIC!");
MooseRandom::seed(getParam<unsigned int>("seed"));
}
void
GrainTracker::calculateBubbleVolumes()
{
Moose::perf_log.push("calculateBubbleVolumes()", "GrainTracker");
// The size of the bubble array will be sized to the max index of the unique grains map
unsigned int max_id = _unique_grains.size() ? _unique_grains.rbegin()->first + 1: 0;
_all_feature_volumes.resize(max_id, 0);
const MeshBase::const_element_iterator el_end = _mesh.getMesh().active_local_elements_end();
for (MeshBase::const_element_iterator el = _mesh.getMesh().active_local_elements_begin(); el != el_end; ++el)
{
Elem * elem = *el;
unsigned int elem_n_nodes = elem->n_nodes();
Real curr_volume = elem->volume();
for (std::map<unsigned int, MooseSharedPointer<FeatureData> >::iterator it = _unique_grains.begin(); it != _unique_grains.end(); ++it)
{
if (it->second->_status == INACTIVE)
continue;
if (_is_elemental)
{
dof_id_type elem_id = elem->id();
if (it->second->_local_ids.find(elem_id) != it->second->_local_ids.end())
{
mooseAssert(it->first < _all_feature_volumes.size(), "_all_feature_volumes access out of bounds");
_all_feature_volumes[it->first] += curr_volume;
break;
}
}
else
{
// Count the number of nodes on this element which are flooded.
unsigned int flooded_nodes = 0;
for (unsigned int node = 0; node < elem_n_nodes; ++node)
{
dof_id_type node_id = elem->node(node);
if (it->second->_local_ids.find(node_id) != it->second->_local_ids.end())
++flooded_nodes;
}
// If a majority of the nodes for this element are flooded,
// assign its volume to the current bubble_counter entry.
if (flooded_nodes >= elem_n_nodes / 2)
_all_feature_volumes[it->first] += curr_volume;
}
}
}
// do all the sums!
_communicator.sum(_all_feature_volumes);
Moose::perf_log.pop("calculateBubbleVolumes()", "GrainTracker");
}
double
SheepReadBC::sampleTime(double t, double xcoord, double ycoord)
{
mooseAssert(_x.size() > 0, "Sampling an empty SheepReadBC.");
int posi;
int posj;
bool found = false;
if(t <= _x[0])
{
posi = 0;
for(unsigned int i(0); i < _nx * _ny; ++i)
if( (std::fabs(_px(posi, i) - xcoord) < 0.1) && (std::fabs(_py(posi, i)- ycoord) < 0.1) )
return _pv(posi, i);
mooseError("Unreachable? Dirichlet: x="<<xcoord<<" , y="<<ycoord<<" , file="<<_y[posi]<<" !!" );
}
else if(t >= _x.back())
{
posi = _x.size()-1;
for(unsigned int i(0); i < _nx * _ny; ++i)
if( (std::fabs(_px(posi, i) - xcoord) < 0.1) && (std::fabs(_py(posi, i)- ycoord) < 0.1) )
return _pv(posi, i);
mooseError("Unreachable? Dirichlet: x="<<xcoord<<" , y="<<ycoord<<" , file="<<_y[posi]<<" !!" );
}
else
{
found = false;
for(unsigned int i(0); i+1 < _x.size(); ++i)
{
if( t >= _x[i] && t < _x[i+1])
{
posi = i;
found = true;
break;
}
}
if( !found )
mooseError("Unreachable? sampleTime: x="<<xcoord<<" , y="<<ycoord<<" , posi="<<posi<<" !!" );
found = false;
for(unsigned int j(0); j < _nx* _ny; ++j)
{
if(std::fabs(_px(posi, j) - xcoord) < 0.1 && std::fabs(_py(posi, j) - ycoord) < 0.1)
{
posj = j;
found = true;
break;
}
}
if( !found )
mooseError("Unreachable? sampleTime: x="<<xcoord<<" , y="<<ycoord<<" , posj="<<posj<<" !!" );
return _pv(posi,posj) + (_pv(posi+1,posj) - _pv(posi,posj)) * (t - _x[posi])/(_x[posi+1] - _x[posi]);
}
return 0;
}
void
InertialForceBeam::computeJacobian()
{
DenseMatrix<Number> & ke = _assembly.jacobianBlock(_var.number(), _var.number());
_local_ke.resize(ke.m(), ke.n());
_local_ke.zero();
mooseAssert(_beta > 0.0, "InertialForceBeam: Beta parameter should be positive.");
Real factor = 0.0;
if (isParamValid("beta"))
factor = 1.0 / (_beta * _dt * _dt) + _eta[0] * (1.0 + _alpha) * _gamma / _beta / _dt;
else
factor = (*_du_dotdot_du)[0] + _eta[0] * (1.0 + _alpha) * (*_du_dot_du)[0];
for (unsigned int i = 0; i < _test.size(); ++i)
{
for (unsigned int j = 0; j < _phi.size(); ++j)
{
if (_component < 3)
_local_ke(i, j) = (i == j ? 1.0 / 3.0 : 1.0 / 6.0) * _density[0] * _area[0] *
_original_length[0] * factor;
else if (_component > 2)
{
RankTwoTensor I;
if (isParamValid("Ix"))
I(0, 0) = _Ix[0];
else
I(0, 0) = _Iy[0] + _Iz[0];
I(1, 1) = _Iz[0];
I(2, 2) = _Iy[0];
// conversion from local config to global coordinate system
RankTwoTensor Ig = _original_local_config[0].transpose() * I * _original_local_config[0];
_local_ke(i, j) = (i == j ? 1.0 / 3.0 : 1.0 / 6.0) * _density[0] *
Ig(_component - 3, _component - 3) * _original_length[0] * factor;
}
}
}
ke += _local_ke;
if (_has_diag_save_in)
{
unsigned int rows = ke.m();
DenseVector<Number> diag(rows);
for (unsigned int i = 0; i < rows; ++i)
diag(i) = _local_ke(i, i);
Threads::spin_mutex::scoped_lock lock(Threads::spin_mtx);
for (unsigned int i = 0; i < _diag_save_in.size(); ++i)
_diag_save_in[i]->sys().solution().add_vector(diag, _diag_save_in[i]->dofIndices());
}
}
