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user_flux_bnd_fv1.cpp
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/*
* Copyright (c) 2009-2019: G-CSC, Goethe University Frankfurt
*
* Author: Markus Breit
* Creation date: 2014-01-16
*
* This file is part of NeuroBox, which is based on UG4.
*
* NeuroBox and UG4 are free software: You can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License version 3
* (as published by the Free Software Foundation) with the following additional
* attribution requirements (according to LGPL/GPL v3 §7):
*
* (1) The following notice must be displayed in the appropriate legal notices
* of covered and combined works: "Based on UG4 (www.ug4.org/license)".
*
* (2) The following notice must be displayed at a prominent place in the
* terminal output of covered works: "Based on UG4 (www.ug4.org/license)".
*
* (3) The following bibliography is recommended for citation and must be
* preserved in all covered files:
* "Reiter, S., Vogel, A., Heppner, I., Rupp, M., and Wittum, G. A massively
* parallel geometric multigrid solver on hierarchically distributed grids.
* Computing and visualization in science 16, 4 (2013), 151-164"
* "Vogel, A., Reiter, S., Rupp, M., Nägel, A., and Wittum, G. UG4 -- a novel
* flexible software system for simulating PDE based models on high performance
* computers. Computing and visualization in science 16, 4 (2013), 165-179"
* "Stepniewski, M., Breit, M., Hoffer, M. and Queisser, G.
* NeuroBox: computational mathematics in multiscale neuroscience.
* Computing and visualization in science (2019).
* "Breit, M. et al. Anatomically detailed and large-scale simulations studying
* synapse loss and synchrony using NeuroBox. Front. Neuroanat. 10 (2016), 8"
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*/
#include "user_flux_bnd_fv1.h"
#include "lib_disc/spatial_disc/elem_disc/inner_boundary/inner_boundary_impl.h"
namespace ug {
namespace neuro_collection {
template <typename TDomain>
UserFluxBoundaryFV1<TDomain>::UserFluxBoundaryFV1(const char* functions, const char* subsets)
: base_type(functions, subsets)
{}
template <typename TDomain>
UserFluxBoundaryFV1<TDomain>::UserFluxBoundaryFV1
(
const std::vector<std::string>& functions,
const std::vector<std::string>& subsets
)
: base_type(functions, subsets)
{}
template <typename TDomain>
void UserFluxBoundaryFV1<TDomain>::set_flux_function(SmartPtr<CplUserData<number, dim> > fluxFct)
{
m_fluxFct = fluxFct;
}
template <typename TDomain>
void UserFluxBoundaryFV1<TDomain>::set_flux_function(number constValue)
{
SmartPtr<CplUserData<number, dim> > sp = make_sp(new ConstUserNumber<dim>(constValue));
set_flux_function(sp);
}
template <typename TDomain>
void UserFluxBoundaryFV1<TDomain>::set_flux_function(const char* name)
{
// name must be a valid lua function name conforming to LuaUserNumber specs
if (LuaUserData<number, dim>::check_callback_returns(name))
{
set_flux_function(LuaUserDataFactory<number, dim>::create(name));
return;
}
// no match found
if (!CheckLuaCallbackName(name))
UG_THROW("Lua-Callback with name '" << name << "' does not exist.");
// name exists, but wrong signature
UG_THROW("Cannot find matching callback signature. Use:\n"
"Number - Callback\n" << (LuaUserData<number, dim>::signature()) << "\n");
}
template <typename TDomain>
bool UserFluxBoundaryFV1<TDomain>::fluxDensityFct
(
const std::vector<LocalVector::value_type>& u,
GridObject* e,
const MathVector<dim>& coords,
int si,
FluxCond& fc
)
{
number fluxDensity;
if (m_fluxFct.valid())
(*m_fluxFct)(fluxDensity, coords, this->time(), si);
else fluxDensity = 0.0;
fc.flux.resize(1, 0.0);
fc.flux[0] = fluxDensity;
fc.to.resize(1);
fc.to[0] = 0;
// if a source is given, then use it; otherwise don't
fc.from.resize(1);
if (this->m_vFct.size() > 1)
fc.from[0] = 1;
else
fc.from[0] = InnerBoundaryConstants::_IGNORE_;
return true;
}
template <typename TDomain>
bool UserFluxBoundaryFV1<TDomain>::fluxDensityFct
(
const std::vector<LocalVector::value_type>& u,
const std::vector<LocalVector::value_type>& uOld,
GridObject* e,
const MathVector<dim>& coords,
int si,
FluxCond& fc
)
{
return fluxDensityFct(u, e, coords, si, fc);
}
template <typename TDomain>
bool UserFluxBoundaryFV1<TDomain>::fluxDensityDerivFct
(
const std::vector<LocalVector::value_type>& u,
GridObject* e,
const MathVector<dim>& coords,
int si,
FluxDerivCond& fdc
)
{
// nothing to compute here, since the flux does not depend on any variables
return true;
}
template <typename TDomain>
bool UserFluxBoundaryFV1<TDomain>::fluxDensityDerivFct
(
const std::vector<LocalVector::value_type>& u,
const std::vector<LocalVector::value_type>& uOld,
GridObject* e,
const MathVector<dim>& coords,
int si,
FluxDerivCond& fdc
)
{
// nothing to compute here, since the flux does not depend on any variables
return true;
}
// explicit template specializations
#ifdef UG_DIM_1
template class UserFluxBoundaryFV1<Domain1d>;
#endif
#ifdef UG_DIM_2
template class UserFluxBoundaryFV1<Domain2d>;
#endif
#ifdef UG_DIM_3
template class UserFluxBoundaryFV1<Domain3d>;
#endif
} // namespace neuro_collection
} // namespace ug