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Simplify the use of custom scalar types, the rule is to never directly call a standard math function using std:: but rather put a using std::foo before and simply call foo:

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using std::max;
max(a,b);
This commit is contained in:
Gael Guennebaud
2011-05-25 08:41:45 +02:00
parent 5541bcb769
commit 87ac09daa8
10 changed files with 73 additions and 40 deletions
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16
unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
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@@ -26,7 +26,7 @@
#define EIGEN_MATRIX_EXPONENTIAL
#ifdef _MSC_VER
template <typename Scalar> Scalar log2(Scalar v) { return std::log(v)/std::log(Scalar(2)); }
template <typename Scalar> Scalar log2(Scalar v) { using std::log; return log(v)/log(Scalar(2)); }
#endif
@@ -250,14 +250,17 @@ EIGEN_STRONG_INLINE void MatrixExponential<MatrixType>::pade13(const MatrixType
template <typename MatrixType>
void MatrixExponential<MatrixType>::computeUV(float)
{
using namespace std::max;
using namespace std::pow;
using namespace std::ceil;
if (m_l1norm < 4.258730016922831e-001) {
pade3(m_M);
} else if (m_l1norm < 1.880152677804762e+000) {
pade5(m_M);
} else {
const float maxnorm = 3.925724783138660f;
m_squarings = std::max(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / std::pow(Scalar(2), Scalar(static_cast<RealScalar>(m_squarings)));
m_squarings = max(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / pow(Scalar(2), Scalar(static_cast<RealScalar>(m_squarings)));
pade7(A);
}
}
@@ -265,6 +268,9 @@ void MatrixExponential<MatrixType>::computeUV(float)
template <typename MatrixType>
void MatrixExponential<MatrixType>::computeUV(double)
{
using namespace std::max;
using namespace std::pow;
using namespace std::ceil;
if (m_l1norm < 1.495585217958292e-002) {
pade3(m_M);
} else if (m_l1norm < 2.539398330063230e-001) {
@@ -275,8 +281,8 @@ void MatrixExponential<MatrixType>::computeUV(double)
pade9(m_M);
} else {
const double maxnorm = 5.371920351148152;
m_squarings = std::max(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / std::pow(Scalar(2), Scalar(m_squarings));
m_squarings = max(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / pow(Scalar(2), Scalar(m_squarings));
pade13(A);
}
}