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@ -295,7 +295,7 @@ void SimplicialCholesky<_MatrixType,_UpLo>::analyzePattern(const MatrixType& a)
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m_parent.resize(size);
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m_nonZerosPerCol.resize(size);
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Index* tags = ei_aligned_stack_new(Index, size);
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ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
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// TODO allows to configure the permutation
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{
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@ -338,9 +338,6 @@ void SimplicialCholesky<_MatrixType,_UpLo>::analyzePattern(const MatrixType& a)
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}
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}
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// release workspace
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ei_aligned_stack_delete(Index, tags, size);
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/* construct Lp index array from m_nonZerosPerCol column counts */
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Index* Lp = m_matrix._outerIndexPtr();
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Lp[0] = 0;
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@ -369,9 +366,9 @@ void SimplicialCholesky<_MatrixType,_UpLo>::factorize(const MatrixType& a)
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Index* Li = m_matrix._innerIndexPtr();
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Scalar* Lx = m_matrix._valuePtr();
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Scalar* y = ei_aligned_stack_new(Scalar, size);
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Index* pattern = ei_aligned_stack_new(Index, size);
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Index* tags = ei_aligned_stack_new(Index, size);
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ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
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ei_declare_aligned_stack_constructed_variable(Index, pattern, size, 0);
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ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
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SparseMatrix<Scalar,ColMajor,Index> ap(size,size);
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ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_Pinv);
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@ -443,11 +440,6 @@ void SimplicialCholesky<_MatrixType,_UpLo>::factorize(const MatrixType& a)
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}
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}
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// release workspace
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ei_aligned_stack_delete(Scalar, y, size);
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ei_aligned_stack_delete(Index, pattern, size);
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ei_aligned_stack_delete(Index, tags, size);
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m_info = ok ? Success : NumericalIssue;
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m_factorizationIsOk = true;
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}
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@ -245,7 +245,8 @@ void SparseLDLT<_MatrixType,Backend>::_symbolic(const _MatrixType& a)
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m_matrix.resize(size, size);
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m_parent.resize(size);
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m_nonZerosPerCol.resize(size);
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Index * tags = ei_aligned_stack_new(Index, size);
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ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
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const Index* Ap = a._outerIndexPtr();
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const Index* Ai = a._innerIndexPtr();
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@ -298,7 +299,6 @@ void SparseLDLT<_MatrixType,Backend>::_symbolic(const _MatrixType& a)
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Lp[k+1] = Lp[k] + m_nonZerosPerCol[k];
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m_matrix.resizeNonZeros(Lp[size]);
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ei_aligned_stack_delete(Index, tags, size);
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}
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template<typename _MatrixType, typename Backend>
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@ -317,9 +317,9 @@ bool SparseLDLT<_MatrixType,Backend>::_numeric(const _MatrixType& a)
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Scalar* Lx = m_matrix._valuePtr();
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m_diag.resize(size);
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Scalar * y = ei_aligned_stack_new(Scalar, size);
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Index * pattern = ei_aligned_stack_new(Index, size);
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Index * tags = ei_aligned_stack_new(Index, size);
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ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
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ei_declare_aligned_stack_constructed_variable(Index, pattern, size, 0);
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ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
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Index* P = 0;
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Index* Pinv = 0;
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@ -383,10 +383,6 @@ bool SparseLDLT<_MatrixType,Backend>::_numeric(const _MatrixType& a)
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}
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}
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ei_aligned_stack_delete(Scalar, y, size);
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ei_aligned_stack_delete(Index, pattern, size);
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ei_aligned_stack_delete(Index, tags, size);
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return ok; /* success, diagonal of D is all nonzero */
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}
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