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| author |  Gael Guennebaud <g.gael@free.fr> | 2014-10-20 15:55:32 +0200 |
|---|---|---|
| committer | Gael Guennebaud <g.gael@free.fr> | 2014-10-20 15:55:32 +0200 |
| commit | fe57b2f963da832d14f4d7b6d4a9554ceef26e36 (patch) | |
| tree | ed0e5d13ae6dde3f98d012ad3f87570b77e8230d /Eigen/src/SparseQR | |
| parent | c12b7896d0ddf95e8f060c93a5cf2fcfa1e6865c (diff) | |
bug #701: workaround (min) and (max) blocking ADL by introducing numext::mini and numext::maxi internal functions and a EIGEN_NOT_A_MACRO macro.
Diffstat (limited to 'Eigen/src/SparseQR')
| -rw-r--r-- | Eigen/src/SparseQR/SparseQR.h | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/Eigen/src/SparseQR/SparseQR.h b/Eigen/src/SparseQR/SparseQR.h index 879ac553d..133211488 100644 --- a/Eigen/src/SparseQR/SparseQR.h +++ b/Eigen/src/SparseQR/SparseQR.h @@ -325,7 +325,6 @@ template <typename MatrixType, typename OrderingType> void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat) { using std::abs; - using std::max; eigen_assert(m_analysisIsok && "analyzePattern() should be called before this step"); Index m = mat.rows(); @@ -377,7 +376,7 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat) if(m_useDefaultThreshold) { RealScalar max2Norm = 0.0; - for (int j = 0; j < n; j++) max2Norm = (max)(max2Norm, m_pmat.col(j).norm()); + for (int j = 0; j < n; j++) max2Norm = numext::maxi(max2Norm, m_pmat.col(j).norm()); if(max2Norm==RealScalar(0)) max2Norm = RealScalar(1); pivotThreshold = 20 * (m + n) * max2Norm * NumTraits<RealScalar>::epsilon(); |