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authorGravatar Gael Guennebaud <g.gael@free.fr>2015-01-30 19:04:04 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2015-01-30 19:04:04 +0100
commitf1092d2f736bbe541b3d8b5cca893f668f9c6b5f (patch)
treece7b871e6aae76db5a4f0ba408c6ad4d4b6b1c97 /Eigen/src/QR
parent9d82f7e30d53086d090ae13d69dffef771eb6263 (diff)
bug #941: fix accuracy issue in ColPivHouseholderQR, do not stop decomposition on a small pivot
Diffstat (limited to 'Eigen/src/QR')
-rw-r--r--Eigen/src/QR/ColPivHouseholderQR.h24
1 files changed, 8 insertions, 16 deletions
diff --git a/Eigen/src/QR/ColPivHouseholderQR.h b/Eigen/src/QR/ColPivHouseholderQR.h
index de77e8411..370cb69e3 100644
--- a/Eigen/src/QR/ColPivHouseholderQR.h
+++ b/Eigen/src/QR/ColPivHouseholderQR.h
@@ -476,20 +476,10 @@ ColPivHouseholderQR<MatrixType>& ColPivHouseholderQR<MatrixType>::compute(const
// we store that back into our table: it can't hurt to correct our table.
m_colSqNorms.coeffRef(biggest_col_index) = biggest_col_sq_norm;
- // if the current biggest column is smaller than epsilon times the initial biggest column,
- // terminate to avoid generating nan/inf values.
- // Note that here, if we test instead for "biggest == 0", we get a failure every 1000 (or so)
- // repetitions of the unit test, with the result of solve() filled with large values of the order
- // of 1/(size*epsilon).
- if(biggest_col_sq_norm < threshold_helper * RealScalar(rows-k))
- {
+ // Track the number of meaningful pivots but do not stop the decomposition to make
+ // sure that the initial matrix is properly reproduced. See bug 941.
+ if(m_nonzero_pivots==size && biggest_col_sq_norm < threshold_helper * RealScalar(rows-k))
m_nonzero_pivots = k;
- m_hCoeffs.tail(size-k).setZero();
- m_qr.bottomRightCorner(rows-k,cols-k)
- .template triangularView<StrictlyLower>()
- .setZero();
- break;
- }
// apply the transposition to the columns
m_colsTranspositions.coeffRef(k) = biggest_col_index;
@@ -518,7 +508,7 @@ ColPivHouseholderQR<MatrixType>& ColPivHouseholderQR<MatrixType>::compute(const
}
m_colsPermutation.setIdentity(PermIndexType(cols));
- for(PermIndexType k = 0; k < m_nonzero_pivots; ++k)
+ for(PermIndexType k = 0; k < size/*m_nonzero_pivots*/; ++k)
m_colsPermutation.applyTranspositionOnTheRight(k, PermIndexType(m_colsTranspositions.coeff(k)));
m_det_pq = (number_of_transpositions%2) ? -1 : 1;
@@ -574,13 +564,15 @@ struct Assignment<DstXprType, Inverse<ColPivHouseholderQR<MatrixType> >, interna
} // end namespace internal
-/** \returns the matrix Q as a sequence of householder transformations */
+/** \returns the matrix Q as a sequence of householder transformations.
+ * You can extract the meaningful part only by using:
+ * \code qr.householderQ().setLength(qr.nonzeroPivots()) */
template<typename MatrixType>
typename ColPivHouseholderQR<MatrixType>::HouseholderSequenceType ColPivHouseholderQR<MatrixType>
::householderQ() const
{
eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
- return HouseholderSequenceType(m_qr, m_hCoeffs.conjugate()).setLength(m_nonzero_pivots);
+ return HouseholderSequenceType(m_qr, m_hCoeffs.conjugate());
}
#ifndef __CUDACC__