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Fix SparseQR::rank for a completely empty matrix.

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This commit is contained in:
Gael Guennebaud 2014-10-19 22:42:20 +02:00
parent b50e5bc816
commit 8838b0a1ff
1 changed files with 4 additions and 2 deletions
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6
Eigen/src/SparseQR/SparseQR.h
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@ -378,6 +378,8 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat)
{
RealScalar max2Norm = 0.0;
for (int j = 0; j < n; j++) max2Norm = (max)(max2Norm, m_pmat.col(j).norm());
if(max2Norm==RealScalar(0))
max2Norm = RealScalar(1);
pivotThreshold = 20 * (m + n) * max2Norm * NumTraits<RealScalar>::epsilon();
}
@ -386,7 +388,7 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat)
Index nonzeroCol = 0; // Record the number of valid pivots
m_Q.startVec(0);
// Left looking rank-revealing QR factorization: compute a column of R and Q at a time
for (Index col = 0; col < n; ++col)
{
@ -554,7 +556,7 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat)
m_R.finalize();
m_R.makeCompressed();
m_isQSorted = false;
m_nonzeropivots = nonzeroCol;
if(nonzeroCol<n)