HomeSort by relevance Sort by last modified time
    Searched refs:blueNorm (Results 1 - 15 of 15) sorted by null

  /external/eigen/test/
stable_norm.cpp 78 VERIFY_IS_APPROX(vrand.blueNorm(), vrand.norm());
91 VERIFY_IS_APPROX(vbig.blueNorm(), sqrt(size)*abs(big));
98 VERIFY_IS_APPROX(vsmall.blueNorm(), sqrt(size)*abs(small));
103 VERIFY_IS_APPROX(vrand.colwise().blueNorm(), vrand.colwise().norm());
106 VERIFY_IS_APPROX(vrand.rowwise().blueNorm(), vrand.rowwise().norm());
121 VERIFY(!(numext::isfinite)(v.blueNorm())); VERIFY((numext::isnan)(v.blueNorm()));
135 VERIFY(!(numext::isfinite)(v.blueNorm())); VERIFY(isPlusInf(v.blueNorm()));
149 VERIFY(!(numext::isfinite)(v.blueNorm())); VERIFY(isPlusInf(v.blueNorm()))
    [all...]
sparse_vector.cpp 98 VERIFY_IS_APPROX(v1.blueNorm(), refV1.blueNorm());
  /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 231 wa2 = fjac.colwise().blueNorm();
468 wa2 = fjac.colwise().blueNorm();
  /external/eigen/bench/
bench_norm.cpp 27 EIGEN_DONT_INLINE typename T::Scalar blueNorm(T& v)
29 return v.blueNorm();
101 return v.blueNorm();
256 std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\n";
276 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/Eigen/src/SparseCore/
SparseDot.h 92 SparseMatrixBase<Derived>::blueNorm() const
SparseMatrixBase.h 347 RealScalar blueNorm() const;
  /external/eigen/Eigen/src/Core/
StableNorm.h 151 * is faster than blueNorm(). Otherwise the blueNorm() is much faster.
153 * \sa norm(), blueNorm(), hypotNorm()
202 MatrixBase<Derived>::blueNorm() const
VectorwiseOp.h 102 EIGEN_MEMBER_FUNCTOR(blueNorm, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
363 * \sa DenseBase::blueNorm() */
365 const BlueNormReturnType blueNorm() const
MatrixBase.h 204 RealScalar blueNorm() const;
  /external/eigen/unsupported/test/
NonLinearOptimization.cpp 187 VERIFY_IS_APPROX(lm.fvec.blueNorm(), 0.09063596);
216 fnorm = lm.fvec.blueNorm();
301 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08);
336 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08);
389 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08);
420 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08);
492 VERIFY_IS_APPROX(lm.fvec.blueNorm(), 0.09063596);
521 fnorm = lm.fvec.blueNorm();
577 VERIFY_IS_APPROX(fvec.blueNorm(), 0.09063596);
607 fnorm = lm.fvec.blueNorm();
    [all...]
levenberg_marquardt.cpp 85 VERIFY_IS_APPROX(lm.fvec().blueNorm(), 0.09063596);
114 fnorm = lm.fvec().blueNorm();
187 VERIFY_IS_APPROX(fvec.blueNorm(), 0.09063596);
217 fnorm = lm.fvec().blueNorm();
    [all...]

Completed in 718 milliseconds