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bug #1149: fix Pastix*::*parm()
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@ -184,7 +184,7 @@ class PastixBase : public SparseSolverBase<Derived>
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* The statistics related to the different phases of factorization and solve are saved here as well
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* \sa analyzePattern() factorize()
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*/
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Array<RealScalar,IPARM_SIZE,1>& dparm()
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Array<double,DPARM_SIZE,1>& dparm()
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{
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return m_dparm;
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}
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@ -244,8 +244,8 @@ class PastixBase : public SparseSolverBase<Derived>
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mutable ComputationInfo m_info;
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mutable pastix_data_t *m_pastixdata; // Data structure for pastix
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mutable int m_comm; // The MPI communicator identifier
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mutable Matrix<int,IPARM_SIZE,1> m_iparm; // integer vector for the input parameters
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mutable Matrix<double,DPARM_SIZE,1> m_dparm; // Scalar vector for the input parameters
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mutable Array<int,IPARM_SIZE,1> m_iparm; // integer vector for the input parameters
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mutable Array<double,DPARM_SIZE,1> m_dparm; // Scalar vector for the input parameters
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mutable Matrix<StorageIndex,Dynamic,1> m_perm; // Permutation vector
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mutable Matrix<StorageIndex,Dynamic,1> m_invp; // Inverse permutation vector
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mutable int m_size; // Size of the matrix
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@ -27,6 +27,14 @@ template<typename T> void test_pastix_T()
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check_sparse_spd_solving(pastix_llt_upper);
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check_sparse_spd_solving(pastix_ldlt_upper);
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check_sparse_square_solving(pastix_lu);
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// Some compilation check:
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pastix_llt_lower.iparm();
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pastix_llt_lower.dparm();
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pastix_ldlt_lower.iparm();
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pastix_ldlt_lower.dparm();
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pastix_lu.iparm();
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pastix_lu.dparm();
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}
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// There is no support for selfadjoint matrices with PaStiX.
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