diff options
Diffstat (limited to 'extern/Eigen3/Eigen/src/LU')
| -rw-r--r-- | extern/Eigen3/Eigen/src/LU/FullPivLU.h | 10 | ||||
| -rw-r--r-- | extern/Eigen3/Eigen/src/LU/arch/Inverse_SSE.h | 2 |
2 files changed, 2 insertions, 10 deletions
diff --git a/extern/Eigen3/Eigen/src/LU/FullPivLU.h b/extern/Eigen3/Eigen/src/LU/FullPivLU.h index 633fb23fdbe..46ae7d651c8 100644 --- a/extern/Eigen3/Eigen/src/LU/FullPivLU.h +++ b/extern/Eigen3/Eigen/src/LU/FullPivLU.h @@ -443,7 +443,6 @@ FullPivLU<MatrixType>& FullPivLU<MatrixType>::compute(const MatrixType& matrix) m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case) m_maxpivot = RealScalar(0); - RealScalar cutoff(0); for(Index k = 0; k < size; ++k) { @@ -458,14 +457,7 @@ FullPivLU<MatrixType>& FullPivLU<MatrixType>::compute(const MatrixType& matrix) row_of_biggest_in_corner += k; // correct the values! since they were computed in the corner, col_of_biggest_in_corner += k; // need to add k to them. - // when k==0, biggest_in_corner is the biggest coeff absolute value in the original matrix - if(k == 0) cutoff = biggest_in_corner * NumTraits<Scalar>::epsilon(); - - // if the pivot (hence the corner) is "zero", terminate to avoid generating nan/inf values. - // Notice that using an exact comparison (biggest_in_corner==0) here, as Golub-van Loan do in - // their pseudo-code, results in numerical instability! The cutoff here has been validated - // by running the unit test 'lu' with many repetitions. - if(biggest_in_corner < cutoff) + if(biggest_in_corner==RealScalar(0)) { // before exiting, make sure to initialize the still uninitialized transpositions // in a sane state without destroying what we already have. diff --git a/extern/Eigen3/Eigen/src/LU/arch/Inverse_SSE.h b/extern/Eigen3/Eigen/src/LU/arch/Inverse_SSE.h index 176c349ce44..4c6153f0aff 100644 --- a/extern/Eigen3/Eigen/src/LU/arch/Inverse_SSE.h +++ b/extern/Eigen3/Eigen/src/LU/arch/Inverse_SSE.h @@ -55,7 +55,7 @@ struct compute_inverse_size4<Architecture::SSE, float, MatrixType, ResultType> static void run(const MatrixType& matrix, ResultType& result) { - EIGEN_ALIGN16 const int _Sign_PNNP[4] = { 0x00000000, 0x80000000, 0x80000000, 0x00000000 }; + EIGEN_ALIGN16 const unsigned int _Sign_PNNP[4] = { 0x00000000, 0x80000000, 0x80000000, 0x00000000 }; // Load the full matrix into registers __m128 _L1 = matrix.template packet<MatrixAlignment>( 0); |