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https://gitlab.com/libeigen/eigen.git
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Apply argument-dependent lookup on user-defined types. (using std::)
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@@ -164,10 +164,16 @@ struct MatrixExponential<MatrixType>::ScalingOp
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ScalingOp(int squarings) : m_squarings(squarings) { }
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inline const RealScalar operator() (const RealScalar& x) const
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{ return std::ldexp(x, -m_squarings); }
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{
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using std::ldexp;
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return ldexp(x, -m_squarings);
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}
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inline const ComplexScalar operator() (const ComplexScalar& x) const
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{ return ComplexScalar(std::ldexp(x.real(), -m_squarings), std::ldexp(x.imag(), -m_squarings)); }
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{
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using std::ldexp;
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return ComplexScalar(ldexp(x.real(), -m_squarings), ldexp(x.imag(), -m_squarings));
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}
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private:
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int m_squarings;
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@@ -297,13 +303,14 @@ EIGEN_STRONG_INLINE void MatrixExponential<MatrixType>::pade17(const MatrixType
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template <typename MatrixType>
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void MatrixExponential<MatrixType>::computeUV(float)
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{
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using std::frexp;
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if (m_l1norm < 4.258730016922831e-001) {
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pade3(m_M);
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} else if (m_l1norm < 1.880152677804762e+000) {
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pade5(m_M);
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} else {
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const float maxnorm = 3.925724783138660f;
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std::frexp(m_l1norm / maxnorm, &m_squarings);
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frexp(m_l1norm / maxnorm, &m_squarings);
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if (m_squarings < 0) m_squarings = 0;
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MatrixType A = CwiseUnaryOp<ScalingOp, const MatrixType>(m_M, m_squarings);
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pade7(A);
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@@ -313,6 +320,7 @@ void MatrixExponential<MatrixType>::computeUV(float)
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template <typename MatrixType>
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void MatrixExponential<MatrixType>::computeUV(double)
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{
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using std::frexp;
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if (m_l1norm < 1.495585217958292e-002) {
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pade3(m_M);
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} else if (m_l1norm < 2.539398330063230e-001) {
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@@ -323,7 +331,7 @@ void MatrixExponential<MatrixType>::computeUV(double)
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pade9(m_M);
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} else {
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const double maxnorm = 5.371920351148152;
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std::frexp(m_l1norm / maxnorm, &m_squarings);
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frexp(m_l1norm / maxnorm, &m_squarings);
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if (m_squarings < 0) m_squarings = 0;
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MatrixType A = CwiseUnaryOp<ScalingOp, const MatrixType>(m_M, m_squarings);
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pade13(A);
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@@ -333,6 +341,7 @@ void MatrixExponential<MatrixType>::computeUV(double)
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template <typename MatrixType>
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void MatrixExponential<MatrixType>::computeUV(long double)
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{
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using std::frexp;
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#if LDBL_MANT_DIG == 53 // double precision
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computeUV(double());
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#elif LDBL_MANT_DIG <= 64 // extended precision
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@@ -346,7 +355,7 @@ void MatrixExponential<MatrixType>::computeUV(long double)
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pade9(m_M);
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} else {
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const long double maxnorm = 4.0246098906697353063L;
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std::frexp(m_l1norm / maxnorm, &m_squarings);
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frexp(m_l1norm / maxnorm, &m_squarings);
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if (m_squarings < 0) m_squarings = 0;
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MatrixType A = CwiseUnaryOp<ScalingOp, const MatrixType>(m_M, m_squarings);
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pade13(A);
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@@ -364,7 +373,7 @@ void MatrixExponential<MatrixType>::computeUV(long double)
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pade13(m_M);
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} else {
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const long double maxnorm = 3.2579440895405400856599663723517L;
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std::frexp(m_l1norm / maxnorm, &m_squarings);
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frexp(m_l1norm / maxnorm, &m_squarings);
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if (m_squarings < 0) m_squarings = 0;
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MatrixType A = CwiseUnaryOp<ScalingOp, const MatrixType>(m_M, m_squarings);
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pade17(A);
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@@ -382,7 +391,7 @@ void MatrixExponential<MatrixType>::computeUV(long double)
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pade13(m_M);
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} else {
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const long double maxnorm = 2.884233277829519311757165057717815L;
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std::frexp(m_l1norm / maxnorm, &m_squarings);
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frexp(m_l1norm / maxnorm, &m_squarings);
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if (m_squarings < 0) m_squarings = 0;
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MatrixType A = CwiseUnaryOp<ScalingOp, const MatrixType>(m_M, m_squarings);
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pade17(A);
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