GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-04-24 02:29:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

enhance efficacy via avoiding exception handling

Browse Source
This commit is contained in:
Chen-Pang He 2011-09-02 00:15:02 +08:00
parent 7ee084f82f
commit dd598ef8ce
1 changed files with 15 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
View File

@ -195,16 +195,18 @@ template <typename MatrixType>
template <typename ResultType>
void MatrixExponential<MatrixType>::compute(ResultType &result)
{
try {
computeUV(RealScalar());
m_tmp1 = m_U + m_V; // numerator of Pade approximant
m_tmp2 = -m_U + m_V; // denominator of Pade approximant
result = m_tmp2.partialPivLu().solve(m_tmp1);
for (int i=0; i<m_squarings; i++)
result *= result; // undo scaling by repeated squaring
} catch(int) {
#if LDBL_MANT_DIG > 112 // rarely happens
if(sizeof(RealScalar) > 14) {
result = m_M.matrixFunction(StdStemFunctions<ComplexScalar>::exp);
return;
}
#endif
computeUV(RealScalar());
m_tmp1 = m_U + m_V; // numerator of Pade approximant
m_tmp2 = -m_U + m_V; // denominator of Pade approximant
result = m_tmp2.partialPivLu().solve(m_tmp1);
for (int i=0; i<m_squarings; i++)
result *= result; // undo scaling by repeated squaring
}
template <typename MatrixType>
@ -343,7 +345,7 @@ void MatrixExponential<MatrixType>::computeUV(long double)
using std::pow;
using std::ceil;
#if LDBL_MANT_DIG == 53 // double precision
computeUV(0.);
computeUV(double());
#elif LDBL_MANT_DIG <= 64 // extended precision
if (m_l1norm < 4.1968497232266989671e-003L) {
pade3(m_M);
@ -354,7 +356,7 @@ void MatrixExponential<MatrixType>::computeUV(long double)
} else if (m_l1norm < 1.3759868875587845383e+000L) {
pade9(m_M);
} else {
const double maxnorm = 4.0246098906697353063L;
const long double maxnorm = 4.0246098906697353063L;
m_squarings = (max)(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / pow(Scalar(2), m_squarings);
pade13(A);
@ -371,7 +373,7 @@ void MatrixExponential<MatrixType>::computeUV(long double)
} else if (m_l1norm < 1.3203382096514474905666448850278e+000L) {
pade13(m_M);
} else {
const double maxnorm = 3.2579440895405400856599663723517L;
const long double maxnorm = 3.2579440895405400856599663723517L;
m_squarings = (max)(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / pow(Scalar(2), m_squarings);
pade17(A);
@ -388,14 +390,12 @@ void MatrixExponential<MatrixType>::computeUV(long double)
} else if (m_l1norm < 1.125358383453143065081397882891878e+000L) {
pade13(m_M);
} else {
const double maxnorm = 2.884233277829519311757165057717815L;
const long double maxnorm = 2.884233277829519311757165057717815L;
m_squarings = (max)(0, (int)ceil(log2(m_l1norm / maxnorm)));
MatrixType A = m_M / pow(Scalar(2), m_squarings);
pade17(A);
}
#else // rarely happens
throw 0; // will be caught
#endif // LDBL_MANT_DIG
#endif // LDBL_MANT_DIG
}
/** \ingroup MatrixFunctions_Module