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  /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"
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  /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();
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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();
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