port sparse LLT/LDLT to new stack allocation API

This commit is contained in:
Gael Guennebaud 2011-03-20 17:10:43 +01:00
parent b8ecda5c66
commit 535a61ede8
2 changed files with 9 additions and 21 deletions

View File

@ -295,7 +295,7 @@ void SimplicialCholesky<_MatrixType,_UpLo>::analyzePattern(const MatrixType& a)
m_parent.resize(size);
m_nonZerosPerCol.resize(size);
Index* tags = ei_aligned_stack_new(Index, size);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
// TODO allows to configure the permutation
{
@ -338,9 +338,6 @@ void SimplicialCholesky<_MatrixType,_UpLo>::analyzePattern(const MatrixType& a)
}
}
// release workspace
ei_aligned_stack_delete(Index, tags, size);
/* construct Lp index array from m_nonZerosPerCol column counts */
Index* Lp = m_matrix._outerIndexPtr();
Lp[0] = 0;
@ -369,9 +366,9 @@ void SimplicialCholesky<_MatrixType,_UpLo>::factorize(const MatrixType& a)
Index* Li = m_matrix._innerIndexPtr();
Scalar* Lx = m_matrix._valuePtr();
Scalar* y = ei_aligned_stack_new(Scalar, size);
Index* pattern = ei_aligned_stack_new(Index, size);
Index* tags = ei_aligned_stack_new(Index, size);
ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, pattern, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
SparseMatrix<Scalar,ColMajor,Index> ap(size,size);
ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_Pinv);
@ -443,11 +440,6 @@ void SimplicialCholesky<_MatrixType,_UpLo>::factorize(const MatrixType& a)
}
}
// release workspace
ei_aligned_stack_delete(Scalar, y, size);
ei_aligned_stack_delete(Index, pattern, size);
ei_aligned_stack_delete(Index, tags, size);
m_info = ok ? Success : NumericalIssue;
m_factorizationIsOk = true;
}

View File

@ -245,7 +245,8 @@ void SparseLDLT<_MatrixType,Backend>::_symbolic(const _MatrixType& a)
m_matrix.resize(size, size);
m_parent.resize(size);
m_nonZerosPerCol.resize(size);
Index * tags = ei_aligned_stack_new(Index, size);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
const Index* Ap = a._outerIndexPtr();
const Index* Ai = a._innerIndexPtr();
@ -298,7 +299,6 @@ void SparseLDLT<_MatrixType,Backend>::_symbolic(const _MatrixType& a)
Lp[k+1] = Lp[k] + m_nonZerosPerCol[k];
m_matrix.resizeNonZeros(Lp[size]);
ei_aligned_stack_delete(Index, tags, size);
}
template<typename _MatrixType, typename Backend>
@ -317,9 +317,9 @@ bool SparseLDLT<_MatrixType,Backend>::_numeric(const _MatrixType& a)
Scalar* Lx = m_matrix._valuePtr();
m_diag.resize(size);
Scalar * y = ei_aligned_stack_new(Scalar, size);
Index * pattern = ei_aligned_stack_new(Index, size);
Index * tags = ei_aligned_stack_new(Index, size);
ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, pattern, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
Index* P = 0;
Index* Pinv = 0;
@ -383,10 +383,6 @@ bool SparseLDLT<_MatrixType,Backend>::_numeric(const _MatrixType& a)
}
}
ei_aligned_stack_delete(Scalar, y, size);
ei_aligned_stack_delete(Index, pattern, size);
ei_aligned_stack_delete(Index, tags, size);
return ok; /* success, diagonal of D is all nonzero */
}