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* In LU solvers: no need anymore to use row-major matrices

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* Matrix: always inherit WithAlignedOperatorNew, regardless of
vectorization or not
* rename ei_alloc_stack to ei_aligned_stack_alloc
* mixingtypes test: disable vectorization as SSE intrinsics don't allow
mixing types and we just get compile errors there.
This commit is contained in:
Benoit Jacob
2009-01-03 22:33:08 +00:00
parent fd7eba3394
commit d9e5fd393a
7 changed files with 35 additions and 35 deletions
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16
Eigen/src/Sparse/SparseLDLT.h
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@@ -192,7 +192,7 @@ void SparseLDLT<MatrixType,Backend>::_symbolic(const MatrixType& a)
m_matrix.resize(size, size);
m_parent.resize(size);
m_nonZerosPerCol.resize(size);
int * tags = ei_alloc_stack(int, size);
int * tags = ei_aligned_stack_alloc(int, size);
const int* Ap = a._outerIndexPtr();
const int* Ai = a._innerIndexPtr();
@@ -238,7 +238,7 @@ void SparseLDLT<MatrixType,Backend>::_symbolic(const MatrixType& a)
Lp[k+1] = Lp[k] + m_nonZerosPerCol[k];
m_matrix.resizeNonZeros(Lp[size]);
ei_free_stack(tags, int, size);
ei_aligned_stack_free(tags, int, size);
}
template<typename MatrixType, int Backend>
@@ -257,9 +257,9 @@ bool SparseLDLT<MatrixType,Backend>::_numeric(const MatrixType& a)
Scalar* Lx = m_matrix._valuePtr();
m_diag.resize(size);
Scalar * y = ei_alloc_stack(Scalar, size);
int * pattern = ei_alloc_stack(int, size);
int * tags = ei_alloc_stack(int, size);
Scalar * y = ei_aligned_stack_alloc(Scalar, size);
int * pattern = ei_aligned_stack_alloc(int, size);
int * tags = ei_aligned_stack_alloc(int, size);
const int* P = 0;
const int* Pinv = 0;
@@ -315,9 +315,9 @@ bool SparseLDLT<MatrixType,Backend>::_numeric(const MatrixType& a)
}
}
ei_free_stack(y, Scalar, size);
ei_free_stack(pattern, int, size);
ei_free_stack(tags, int, size);
ei_aligned_stack_free(y, Scalar, size);
ei_aligned_stack_free(pattern, int, size);
ei_aligned_stack_free(tags, int, size);
return ok; /* success, diagonal of D is all nonzero */
}