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Searched
refs:blueNorm
(Results
1 - 15
of
15
) sorted by null
/external/eigen/bench/
bench_norm.cpp
21
EIGEN_DONT_INLINE typename T::Scalar
blueNorm
(const T& v)
23
return v.
blueNorm
();
91
return v.
blueNorm
();
245
std::cout << "
blueNorm
\t" <<
blueNorm
(vf) << "\t" <<
blueNorm
(vd) << "\n";
265
std::cout << "
blueNorm
\t" <<
blueNorm
(vf) << "\t" <<
blueNorm
(vd) << "\t" <<
blueNorm
(vf.cast<long double>()) << "\t" << blueNorm(vd.cast<long double>()) << "\n"
[
all
...]
/external/eigen/unsupported/Eigen/src/LevenbergMarquardt/
LMpar.h
74
dxnorm = wa2.
blueNorm
();
88
temp = wa1.
blueNorm
();
121
dxnorm = wa2.
blueNorm
();
140
temp = wa1.
blueNorm
();
LMonestep.h
42
m_wa2(j) = m_fjac.col(j).
blueNorm
();
/external/eigen/unsupported/Eigen/src/NonLinearOptimization/
lmpar.h
63
dxnorm = wa2.
blueNorm
();
87
temp = wa1.
blueNorm
();
120
dxnorm = wa2.
blueNorm
();
141
temp = wa1.
blueNorm
();
211
dxnorm = wa2.
blueNorm
();
225
temp = wa1.
blueNorm
();
259
dxnorm = wa2.
blueNorm
();
279
temp = wa1.
blueNorm
();
HybridNonLinearSolver.h
202
wa2 = fjac.colwise().
blueNorm
();
445
wa2 = fjac.colwise().
blueNorm
();
LevenbergMarquardt.h
224
wa2 = fjac.colwise().
blueNorm
();
461
wa2 = fjac.colwise().
blueNorm
();
/external/eigen/test/
stable_norm.cpp
79
VERIFY_IS_APPROX(vrand.
blueNorm
(), vrand.norm());
92
VERIFY_IS_APPROX(vbig.
blueNorm
(), sqrt(size)*abs(big));
99
VERIFY_IS_APPROX(vsmall.
blueNorm
(), sqrt(size)*abs(small));
104
VERIFY_IS_APPROX(vrand.colwise().
blueNorm
(), vrand.colwise().norm());
107
VERIFY_IS_APPROX(vrand.rowwise().
blueNorm
(), vrand.rowwise().norm());
sparse_vector.cpp
81
VERIFY_IS_APPROX(v1.
blueNorm
(), refV1.
blueNorm
());
/external/eigen/Eigen/src/SparseCore/
SparseDot.h
95
SparseMatrixBase<Derived>::
blueNorm
() const
SparseMatrixBase.h
393
RealScalar
blueNorm
() const;
/external/eigen/Eigen/src/Core/
StableNorm.h
147
* is faster than
blueNorm
(). Otherwise the
blueNorm
() is much faster.
149
* \sa norm(),
blueNorm
(), hypotNorm()
184
MatrixBase<Derived>::
blueNorm
() const
VectorwiseOp.h
122
EIGEN_MEMBER_FUNCTOR(
blueNorm
, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
328
* \sa DenseBase::
blueNorm
() */
329
const typename ReturnType<internal::member_blueNorm,RealScalar>::Type
blueNorm
() const
MatrixBase.h
208
RealScalar
blueNorm
() const;
/external/eigen/unsupported/test/
NonLinearOptimization.cpp
186
VERIFY_IS_APPROX(lm.fvec.
blueNorm
(), 0.09063596);
215
fnorm = lm.fvec.
blueNorm
();
300
VERIFY_IS_APPROX(solver.fvec.
blueNorm
(), 1.192636e-08);
335
VERIFY_IS_APPROX(solver.fvec.
blueNorm
(), 1.192636e-08);
388
VERIFY_IS_APPROX(solver.fvec.
blueNorm
(), 1.192636e-08);
419
VERIFY_IS_APPROX(solver.fvec.
blueNorm
(), 1.192636e-08);
491
VERIFY_IS_APPROX(lm.fvec.
blueNorm
(), 0.09063596);
520
fnorm = lm.fvec.
blueNorm
();
576
VERIFY_IS_APPROX(fvec.
blueNorm
(), 0.09063596);
606
fnorm = lm.fvec.
blueNorm
();
[
all
...]
levenberg_marquardt.cpp
79
VERIFY_IS_APPROX(lm.fvec().
blueNorm
(), 0.09063596);
108
fnorm = lm.fvec().
blueNorm
();
181
VERIFY_IS_APPROX(fvec.
blueNorm
(), 0.09063596);
211
fnorm = lm.fvec().
blueNorm
();
[
all
...]
Completed in 332 milliseconds