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diff --git a/extern/Eigen2/Eigen/src/Sparse/UmfPackSupport.h b/extern/Eigen2/Eigen/src/Sparse/UmfPackSupport.h
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-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra. Eigen itself is part of the KDE project.
-//
-// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen 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 or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_UMFPACKSUPPORT_H
-#define EIGEN_UMFPACKSUPPORT_H
-
-/* TODO extract L, extract U, compute det, etc... */
-
-// generic double/complex<double> wrapper functions:
-
-inline void umfpack_free_numeric(void **Numeric, double)
-{ umfpack_di_free_numeric(Numeric); }
-
-inline void umfpack_free_numeric(void **Numeric, std::complex<double>)
-{ umfpack_zi_free_numeric(Numeric); }
-
-inline void umfpack_free_symbolic(void **Symbolic, double)
-{ umfpack_di_free_symbolic(Symbolic); }
-
-inline void umfpack_free_symbolic(void **Symbolic, std::complex<double>)
-{ umfpack_zi_free_symbolic(Symbolic); }
-
-inline int umfpack_symbolic(int n_row,int n_col,
- const int Ap[], const int Ai[], const double Ax[], void **Symbolic,
- const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])
-{
- return umfpack_di_symbolic(n_row,n_col,Ap,Ai,Ax,Symbolic,Control,Info);
-}
-
-inline int umfpack_symbolic(int n_row,int n_col,
- const int Ap[], const int Ai[], const std::complex<double> Ax[], void **Symbolic,
- const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])
-{
- return umfpack_zi_symbolic(n_row,n_col,Ap,Ai,&Ax[0].real(),0,Symbolic,Control,Info);
-}
-
-inline int umfpack_numeric( const int Ap[], const int Ai[], const double Ax[],
- void *Symbolic, void **Numeric,
- const double Control[UMFPACK_CONTROL],double Info [UMFPACK_INFO])
-{
- return umfpack_di_numeric(Ap,Ai,Ax,Symbolic,Numeric,Control,Info);
-}
-
-inline int umfpack_numeric( const int Ap[], const int Ai[], const std::complex<double> Ax[],
- void *Symbolic, void **Numeric,
- const double Control[UMFPACK_CONTROL],double Info [UMFPACK_INFO])
-{
- return umfpack_zi_numeric(Ap,Ai,&Ax[0].real(),0,Symbolic,Numeric,Control,Info);
-}
-
-inline int umfpack_solve( int sys, const int Ap[], const int Ai[], const double Ax[],
- double X[], const double B[], void *Numeric,
- const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])
-{
- return umfpack_di_solve(sys,Ap,Ai,Ax,X,B,Numeric,Control,Info);
-}
-
-inline int umfpack_solve( int sys, const int Ap[], const int Ai[], const std::complex<double> Ax[],
- std::complex<double> X[], const std::complex<double> B[], void *Numeric,
- const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])
-{
- return umfpack_zi_solve(sys,Ap,Ai,&Ax[0].real(),0,&X[0].real(),0,&B[0].real(),0,Numeric,Control,Info);
-}
-
-inline int umfpack_get_lunz(int *lnz, int *unz, int *n_row, int *n_col, int *nz_udiag, void *Numeric, double)
-{
- return umfpack_di_get_lunz(lnz,unz,n_row,n_col,nz_udiag,Numeric);
-}
-
-inline int umfpack_get_lunz(int *lnz, int *unz, int *n_row, int *n_col, int *nz_udiag, void *Numeric, std::complex<double>)
-{
- return umfpack_zi_get_lunz(lnz,unz,n_row,n_col,nz_udiag,Numeric);
-}
-
-inline int umfpack_get_numeric(int Lp[], int Lj[], double Lx[], int Up[], int Ui[], double Ux[],
- int P[], int Q[], double Dx[], int *do_recip, double Rs[], void *Numeric)
-{
- return umfpack_di_get_numeric(Lp,Lj,Lx,Up,Ui,Ux,P,Q,Dx,do_recip,Rs,Numeric);
-}
-
-inline int umfpack_get_numeric(int Lp[], int Lj[], std::complex<double> Lx[], int Up[], int Ui[], std::complex<double> Ux[],
- int P[], int Q[], std::complex<double> Dx[], int *do_recip, double Rs[], void *Numeric)
-{
- return umfpack_zi_get_numeric(Lp,Lj,Lx?&Lx[0].real():0,0,Up,Ui,Ux?&Ux[0].real():0,0,P,Q,
- Dx?&Dx[0].real():0,0,do_recip,Rs,Numeric);
-}
-
-inline int umfpack_get_determinant(double *Mx, double *Ex, void *NumericHandle, double User_Info [UMFPACK_INFO])
-{
- return umfpack_di_get_determinant(Mx,Ex,NumericHandle,User_Info);
-}
-
-inline int umfpack_get_determinant(std::complex<double> *Mx, double *Ex, void *NumericHandle, double User_Info [UMFPACK_INFO])
-{
- return umfpack_zi_get_determinant(&Mx->real(),0,Ex,NumericHandle,User_Info);
-}
-
-
-template<typename MatrixType>
-class SparseLU<MatrixType,UmfPack> : public SparseLU<MatrixType>
-{
- protected:
- typedef SparseLU<MatrixType> Base;
- typedef typename Base::Scalar Scalar;
- typedef typename Base::RealScalar RealScalar;
- typedef Matrix<Scalar,Dynamic,1> Vector;
- typedef Matrix<int, 1, MatrixType::ColsAtCompileTime> IntRowVectorType;
- typedef Matrix<int, MatrixType::RowsAtCompileTime, 1> IntColVectorType;
- typedef SparseMatrix<Scalar,LowerTriangular|UnitDiagBit> LMatrixType;
- typedef SparseMatrix<Scalar,UpperTriangular> UMatrixType;
- using Base::m_flags;
- using Base::m_status;
-
- public:
-
- SparseLU(int flags = NaturalOrdering)
- : Base(flags), m_numeric(0)
- {
- }
-
- SparseLU(const MatrixType& matrix, int flags = NaturalOrdering)
- : Base(flags), m_numeric(0)
- {
- compute(matrix);
- }
-
- ~SparseLU()
- {
- if (m_numeric)
- umfpack_free_numeric(&m_numeric,Scalar());
- }
-
- inline const LMatrixType& matrixL() const
- {
- if (m_extractedDataAreDirty) extractData();
- return m_l;
- }
-
- inline const UMatrixType& matrixU() const
- {
- if (m_extractedDataAreDirty) extractData();
- return m_u;
- }
-
- inline const IntColVectorType& permutationP() const
- {
- if (m_extractedDataAreDirty) extractData();
- return m_p;
- }
-
- inline const IntRowVectorType& permutationQ() const
- {
- if (m_extractedDataAreDirty) extractData();
- return m_q;
- }
-
- Scalar determinant() const;
-
- template<typename BDerived, typename XDerived>
- bool solve(const MatrixBase<BDerived> &b, MatrixBase<XDerived>* x) const;
-
- void compute(const MatrixType& matrix);
-
- protected:
-
- void extractData() const;
-
- protected:
- // cached data:
- void* m_numeric;
- const MatrixType* m_matrixRef;
- mutable LMatrixType m_l;
- mutable UMatrixType m_u;
- mutable IntColVectorType m_p;
- mutable IntRowVectorType m_q;
- mutable bool m_extractedDataAreDirty;
-};
-
-template<typename MatrixType>
-void SparseLU<MatrixType,UmfPack>::compute(const MatrixType& a)
-{
- const int rows = a.rows();
- const int cols = a.cols();
- ei_assert((MatrixType::Flags&RowMajorBit)==0 && "Row major matrices are not supported yet");
-
- m_matrixRef = &a;
-
- if (m_numeric)
- umfpack_free_numeric(&m_numeric,Scalar());
-
- void* symbolic;
- int errorCode = 0;
- errorCode = umfpack_symbolic(rows, cols, a._outerIndexPtr(), a._innerIndexPtr(), a._valuePtr(),
- &symbolic, 0, 0);
- if (errorCode==0)
- errorCode = umfpack_numeric(a._outerIndexPtr(), a._innerIndexPtr(), a._valuePtr(),
- symbolic, &m_numeric, 0, 0);
-
- umfpack_free_symbolic(&symbolic,Scalar());
-
- m_extractedDataAreDirty = true;
-
- Base::m_succeeded = (errorCode==0);
-}
-
-template<typename MatrixType>
-void SparseLU<MatrixType,UmfPack>::extractData() const
-{
- if (m_extractedDataAreDirty)
- {
- // get size of the data
- int lnz, unz, rows, cols, nz_udiag;
- umfpack_get_lunz(&lnz, &unz, &rows, &cols, &nz_udiag, m_numeric, Scalar());
-
- // allocate data
- m_l.resize(rows,std::min(rows,cols));
- m_l.resizeNonZeros(lnz);
-
- m_u.resize(std::min(rows,cols),cols);
- m_u.resizeNonZeros(unz);
-
- m_p.resize(rows);
- m_q.resize(cols);
-
- // extract
- umfpack_get_numeric(m_l._outerIndexPtr(), m_l._innerIndexPtr(), m_l._valuePtr(),
- m_u._outerIndexPtr(), m_u._innerIndexPtr(), m_u._valuePtr(),
- m_p.data(), m_q.data(), 0, 0, 0, m_numeric);
-
- m_extractedDataAreDirty = false;
- }
-}
-
-template<typename MatrixType>
-typename SparseLU<MatrixType,UmfPack>::Scalar SparseLU<MatrixType,UmfPack>::determinant() const
-{
- Scalar det;
- umfpack_get_determinant(&det, 0, m_numeric, 0);
- return det;
-}
-
-template<typename MatrixType>
-template<typename BDerived,typename XDerived>
-bool SparseLU<MatrixType,UmfPack>::solve(const MatrixBase<BDerived> &b, MatrixBase<XDerived> *x) const
-{
- //const int size = m_matrix.rows();
- const int rhsCols = b.cols();
-// ei_assert(size==b.rows());
- ei_assert((BDerived::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major rhs yet");
- ei_assert((XDerived::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major result yet");
-
- int errorCode;
- for (int j=0; j<rhsCols; ++j)
- {
- errorCode = umfpack_solve(UMFPACK_A,
- m_matrixRef->_outerIndexPtr(), m_matrixRef->_innerIndexPtr(), m_matrixRef->_valuePtr(),
- &x->col(j).coeffRef(0), &b.const_cast_derived().col(j).coeffRef(0), m_numeric, 0, 0);
- if (errorCode!=0)
- return false;
- }
-// errorCode = umfpack_di_solve(UMFPACK_A,
-// m_matrixRef._outerIndexPtr(), m_matrixRef._innerIndexPtr(), m_matrixRef._valuePtr(),
-// x->derived().data(), b.derived().data(), m_numeric, 0, 0);
-
- return true;
-}
-
-#endif // EIGEN_UMFPACKSUPPORT_H
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