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UmfPack support: add support for complex<double>
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@ -25,6 +25,51 @@
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#ifndef EIGEN_UMFPACKSUPPORT_H
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#define EIGEN_UMFPACKSUPPORT_H
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/* TODO extract L, extrac U, compute det, etc... */
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inline int umfpack_symbolic(int n_row,int n_col,
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const int Ap[], const int Ai[], const double Ax[], void **Symbolic,
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const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])
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{
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return umfpack_di_symbolic(n_row,n_col,Ap,Ai,Ax,Symbolic,Control,Info);
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}
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inline int umfpack_symbolic(int n_row,int n_col,
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const int Ap[], const int Ai[], const std::complex<double> Ax[], void **Symbolic,
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const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])
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{
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return umfpack_zi_symbolic(n_row,n_col,Ap,Ai,&Ax[0].real(),0,Symbolic,Control,Info);
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}
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inline int umfpack_numeric( const int Ap[], const int Ai[], const double Ax[],
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void *Symbolic, void **Numeric,
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const double Control[UMFPACK_CONTROL],double Info [UMFPACK_INFO])
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{
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return umfpack_di_numeric(Ap,Ai,Ax,Symbolic,Numeric,Control,Info);
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}
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inline int umfpack_numeric( const int Ap[], const int Ai[], const std::complex<double> Ax[],
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void *Symbolic, void **Numeric,
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const double Control[UMFPACK_CONTROL],double Info [UMFPACK_INFO])
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{
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return umfpack_zi_numeric(Ap,Ai,&Ax[0].real(),0,Symbolic,Numeric,Control,Info);
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}
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inline int umfpack_solve( int sys, const int Ap[], const int Ai[], const double Ax[],
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double X[], const double B[], void *Numeric,
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const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])
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{
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return umfpack_di_solve(sys,Ap,Ai,Ax,X,B,Numeric,Control,Info);
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}
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inline int umfpack_solve( int sys, const int Ap[], const int Ai[], const std::complex<double> Ax[],
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std::complex<double> X[], const std::complex<double> B[], void *Numeric,
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const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])
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{
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return umfpack_zi_solve(sys,Ap,Ai,&Ax[0].real(),0,&X[0].real(),0,&B[0].real(),0,Numeric,Control,Info);
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}
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template<typename MatrixType>
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class SparseLU<MatrixType,UmfPack> : public SparseLU<MatrixType>
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{
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@ -69,8 +114,9 @@ class SparseLU<MatrixType,UmfPack> : public SparseLU<MatrixType>
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template<typename MatrixType>
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void SparseLU<MatrixType,UmfPack>::compute(const MatrixType& a)
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{
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const int size = a.rows();
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ei_assert((MatrixType::Flags&RowMajorBit)==0);
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const int rows = a.rows();
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const int cols = a.cols();
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ei_assert((MatrixType::Flags&RowMajorBit)==0 && "Row major matrices are not supported yet");
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m_matrixRef = &a;
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@ -79,10 +125,10 @@ void SparseLU<MatrixType,UmfPack>::compute(const MatrixType& a)
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void* symbolic;
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int errorCode = 0;
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errorCode = umfpack_di_symbolic(size, size, a._outerIndexPtr(), a._innerIndexPtr(), a._valuePtr(),
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errorCode = umfpack_symbolic(rows, cols, a._outerIndexPtr(), a._innerIndexPtr(), a._valuePtr(),
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&symbolic, 0, 0);
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if (errorCode==0)
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errorCode = umfpack_di_numeric(a._outerIndexPtr(), a._innerIndexPtr(), a._valuePtr(),
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errorCode = umfpack_numeric(a._outerIndexPtr(), a._innerIndexPtr(), a._valuePtr(),
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symbolic, &m_numeric, 0, 0);
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umfpack_di_free_symbolic(&symbolic);
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@ -119,7 +165,7 @@ bool SparseLU<MatrixType,UmfPack>::solve(const MatrixBase<BDerived> &b, MatrixBa
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int errorCode;
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for (int j=0; j<rhsCols; ++j)
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{
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errorCode = umfpack_di_solve(UMFPACK_A,
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errorCode = umfpack_solve(UMFPACK_A,
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m_matrixRef->_outerIndexPtr(), m_matrixRef->_innerIndexPtr(), m_matrixRef->_valuePtr(),
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&x->col(j).coeffRef(0), &b.const_cast_derived().col(j).coeffRef(0), m_numeric, 0, 0);
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if (errorCode!=0)
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