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bug #982: Make sure numext::maxi and numext::mini are called correctly, in case Scalar expressions return expression templates.

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This commit is contained in:
Christoph Hertzberg 2015-03-30 16:47:22 +02:00
parent 2adbf6b8ca
commit 58af8bf90c
3 changed files with 8 additions and 7 deletions
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4
Eigen/src/Eigenvalues/EigenSolver.h
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@ -417,7 +417,7 @@ EigenSolver<MatrixType>::compute(const MatrixType& matrix, bool computeEigenvect
{
Scalar t0 = m_matT.coeff(i+1, i);
Scalar t1 = m_matT.coeff(i, i+1);
Scalar maxval = numext::maxi(abs(p),numext::maxi(abs(t0),abs(t1)));
Scalar maxval = numext::maxi<Scalar>(abs(p),numext::maxi<Scalar>(abs(t0),abs(t1)));
t0 /= maxval;
t1 /= maxval;
Scalar p0 = p/maxval;
@ -608,7 +608,7 @@ void EigenSolver<MatrixType>::doComputeEigenvectors()
}
// Overflow control
Scalar t = numext::maxi(abs(m_matT.coeff(i,n-1)),abs(m_matT.coeff(i,n)));
Scalar t = numext::maxi<Scalar>(abs(m_matT.coeff(i,n-1)),abs(m_matT.coeff(i,n)));
if ((eps * t) * t > Scalar(1))
m_matT.block(i, n-1, size-i, 2) /= t;

6
Eigen/src/SVD/BDCSVD.h
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@ -743,7 +743,7 @@ void BDCSVD<MatrixType>::computeSingVals(const ArrayXr& col0, const ArrayXr& dia
// rational interpolation: fit a function of the form a / mu + b through the two previous
// iterates and use its zero to compute the next iterate
bool useBisection = fPrev*fCur>0;
while (fCur!=0 && abs(muCur - muPrev) > 8 * NumTraits<RealScalar>::epsilon() * numext::maxi(abs(muCur), abs(muPrev)) && abs(fCur - fPrev)>NumTraits<RealScalar>::epsilon() && !useBisection)
while (fCur!=0 && abs(muCur - muPrev) > 8 * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(abs(muCur), abs(muPrev)) && abs(fCur - fPrev)>NumTraits<RealScalar>::epsilon() && !useBisection)
{
++m_numIters;
@ -794,7 +794,7 @@ void BDCSVD<MatrixType>::computeSingVals(const ArrayXr& col0, const ArrayXr& dia
#endif
eigen_internal_assert(fLeft * fRight < 0);
while (rightShifted - leftShifted > 2 * NumTraits<RealScalar>::epsilon() * numext::maxi(abs(leftShifted), abs(rightShifted)))
while (rightShifted - leftShifted > 2 * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(abs(leftShifted), abs(rightShifted)))
{
RealScalar midShifted = (leftShifted + rightShifted) / 2;
RealScalar fMid = secularEq(midShifted, col0, diag, perm, diagShifted, shift);
@ -1004,7 +1004,7 @@ void BDCSVD<MatrixType>::deflation(Index firstCol, Index lastCol, Index k, Index
RealScalar maxDiag = diag.tail((std::max)(Index(1),length-1)).cwiseAbs().maxCoeff();
RealScalar epsilon_strict = NumTraits<RealScalar>::epsilon() * maxDiag;
RealScalar epsilon_coarse = 8 * NumTraits<RealScalar>::epsilon() * numext::maxi(col0.cwiseAbs().maxCoeff(), maxDiag);
RealScalar epsilon_coarse = 8 * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(col0.cwiseAbs().maxCoeff(), maxDiag);
#ifdef EIGEN_BDCSVD_SANITY_CHECKS
assert(m_naiveU.allFinite());

5
Eigen/src/SVD/JacobiSVD.h
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@ -722,8 +722,9 @@ JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType& matrix, unsig
// if this 2x2 sub-matrix is not diagonal already...
// notice that this comparison will evaluate to false if any NaN is involved, ensuring that NaN's don't
// keep us iterating forever. Similarly, small denormal numbers are considered zero.
RealScalar threshold = numext::maxi(considerAsZero, precision * numext::maxi(abs(m_workMatrix.coeff(p,p)),
abs(m_workMatrix.coeff(q,q))));
RealScalar threshold = numext::maxi<RealScalar>(considerAsZero,
precision * numext::maxi<RealScalar>(abs(m_workMatrix.coeff(p,p)),
abs(m_workMatrix.coeff(q,q))));
// We compare both values to threshold instead of calling max to be robust to NaN (See bug 791)
if(abs(m_workMatrix.coeff(p,q))>threshold || abs(m_workMatrix.coeff(q,p)) > threshold)
{