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add an assertion in sparse LLT for invalid input matrix

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This commit is contained in:
Gael Guennebaud 2009-04-03 08:30:15 +00:00
parent adf5104bae
commit ff3a3209ca
1 changed files with 5 additions and 3 deletions
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8
Eigen/src/Sparse/SparseLLT.h
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@ -147,6 +147,8 @@ void SparseLLT<MatrixType,Backend>::compute(const MatrixType& a)
// init with current matrix a // init with current matrix a
{ {
typename MatrixType::InnerIterator it(a,j); typename MatrixType::InnerIterator it(a,j);
ei_assert(it.index()==j &&
"matrix must has non zero diagonal entries and only the lower triangular part must be stored");
++it; // skip diagonal element ++it; // skip diagonal element
for (; it; ++it) for (; it; ++it)
tempVector.coeffRef(it.index()) = it.value(); tempVector.coeffRef(it.index()) = it.value();
@ -189,15 +191,15 @@ bool SparseLLT<MatrixType, Backend>::solveInPlace(MatrixBase<Derived> &b) const
const int size = m_matrix.rows(); const int size = m_matrix.rows();
ei_assert(size==b.rows()); ei_assert(size==b.rows());
m_matrix.solveTriangularInPlace(b); m_matrix.template triangular<LowerTriangular>.solveInPlace(b);
// FIXME should be simply .adjoint() but it fails to compile... // FIXME should be simply .adjoint() but it fails to compile...
if (NumTraits<Scalar>::IsComplex) if (NumTraits<Scalar>::IsComplex)
{ {
CholMatrixType aux = m_matrix.conjugate(); CholMatrixType aux = m_matrix.conjugate();
aux.transpose().solveTriangularInPlace(b); aux.transpose().template triangular<UpperTriangular>.solveInPlace(b);
} }
else else
m_matrix.transpose().solveTriangularInPlace(b); m_matrix.transpose().template triangular<UpperTriangular>.solveInPlace(b);
return true; return true;
} }