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rGOOSEFEM/include/GooseFEM/MatrixPartitioned.h
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MatrixPartitioned.h
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/* =================================================================================================
(c - GPLv3) T.W.J. de Geus (Tom) | tom@geus.me | www.geus.me | github.com/tdegeus/GooseFEM
================================================================================================= */
#ifndef GOOSEFEM_MATRIXPARTITIONED_H
#define GOOSEFEM_MATRIXPARTITIONED_H
// -------------------------------------------------------------------------------------------------
#include "GooseFEM.h"
// =========================================== GooseFEM ============================================
namespace GooseFEM {
// -------------------------------------------------------------------------------------------------
class MatrixPartitioned
{
public:
// default constructor
MatrixPartitioned() = default;
// constructor
MatrixPartitioned(const xt::xtensor<size_t,2> &conn, const xt::xtensor<size_t,2> &dofs,
const xt::xtensor<size_t,1> &iip);
// dimensions
size_t nelem() const; // number of elements
size_t nne() const; // number of nodes per element
size_t nnode() const; // number of nodes
size_t ndim() const; // number of dimensions
size_t ndof() const; // number of DOFs
size_t nnu() const; // number of unknown DOFs
size_t nnp() const; // number of prescribed DOFs
// DOF lists
xt::xtensor<size_t,2> dofs() const; // DOFs
xt::xtensor<size_t,1> iiu() const; // unknown DOFs
xt::xtensor<size_t,1> iip() const; // prescribed DOFs
// assemble from matrices stored per element [nelem, nne*ndim, nne*ndim]
void assemble(const xt::xtensor<double,3> &elemmat);
// solve: x_u = A_uu \ ( b_u - A_up * x_p )
xt::xtensor<double,1> solve(const xt::xtensor<double,1> &b_u, const xt::xtensor<double,1> &x_p);
private:
// the matrix
Eigen::SparseMatrix<double> m_data_uu;
Eigen::SparseMatrix<double> m_data_up;
Eigen::SparseMatrix<double> m_data_pu;
Eigen::SparseMatrix<double> m_data_pp;
// the matrix to assemble
std::vector<TripD> m_trip_uu;
std::vector<TripD> m_trip_up;
std::vector<TripD> m_trip_pu;
std::vector<TripD> m_trip_pp;
// solver (re-used to solve different RHS)
Eigen::SimplicialLDLT<Eigen::SparseMatrix<double>> m_solver;
// signal changes to data compare to the last inverse
bool m_change=false;
// bookkeeping
xt::xtensor<size_t,2> m_conn; // connectivity [nelem, nne ]
xt::xtensor<size_t,2> m_dofs; // DOF-numbers per node [nnode, ndim]
xt::xtensor<size_t,2> m_part; // DOF-numbers per node, renumbered [nnode, ndim]
xt::xtensor<size_t,1> m_iiu; // DOF-numbers that are unknown [nnu]
xt::xtensor<size_t,1> m_iip; // DOF-numbers that are prescribed [nnp]
// dimensions
size_t m_nelem; // number of elements
size_t m_nne; // number of nodes per element
size_t m_nnode; // number of nodes
size_t m_ndim; // number of dimensions
size_t m_ndof; // number of DOFs
size_t m_nnu; // number of unknown DOFs
size_t m_nnp; // number of prescribed DOFs
// compute inverse (automatically evaluated by "solve")
void factorize();
};
// -------------------------------------------------------------------------------------------------
} // namespace ...
// =================================================================================================
#endif
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