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Searched refs:blueNorm (Results 1 – 16 of 16) sorted by relevance

/external/eigen/bench/
Dbench_norm.cpp21 EIGEN_DONT_INLINE typename T::Scalar blueNorm(const T& v) in blueNorm() function
23 return v.blueNorm(); in blueNorm()
91 return v.blueNorm(); in pblueNorm()
245 std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\n"; in check_accuracy()
265 …ut << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\t" << blueNorm(vf.cast<long … in check_accuracy_var()
266 …lueNorm(vf) << "\t" << pblueNorm(vd) << "\t" << blueNorm(vf.cast<long double>()) << "\t" << blue… in check_accuracy_var()
323 BENCH_PERF(blueNorm); in main()
338 BENCH_PERF(blueNorm); in main()
/external/eigen/unsupported/Eigen/src/NonLinearOptimization/
Dlmpar.h63 dxnorm = wa2.blueNorm(); in lmpar()
87 temp = wa1.blueNorm(); in lmpar()
120 dxnorm = wa2.blueNorm(); in lmpar()
141 temp = wa1.blueNorm(); in lmpar()
211 dxnorm = wa2.blueNorm(); in lmpar2()
225 temp = wa1.blueNorm(); in lmpar2()
259 dxnorm = wa2.blueNorm(); in lmpar2()
279 temp = wa1.blueNorm(); in lmpar2()
DHybridNonLinearSolver.h202 wa2 = fjac.colwise().blueNorm(); in solveOneStep()
445 wa2 = fjac.colwise().blueNorm(); in solveNumericalDiffOneStep()
DLevenbergMarquardt.h224 wa2 = fjac.colwise().blueNorm(); in minimizeOneStep()
461 wa2 = fjac.colwise().blueNorm(); in minimizeOptimumStorageOneStep()
/external/eigen/test/
Dstable_norm.cpp79 VERIFY_IS_APPROX(vrand.blueNorm(), vrand.norm()); in stable_norm()
92 VERIFY_IS_APPROX(vbig.blueNorm(), sqrt(size)*abs(big)); in stable_norm()
99 VERIFY_IS_APPROX(vsmall.blueNorm(), sqrt(size)*abs(small)); in stable_norm()
104 VERIFY_IS_APPROX(vrand.colwise().blueNorm(), vrand.colwise().norm()); in stable_norm()
107 VERIFY_IS_APPROX(vrand.rowwise().blueNorm(), vrand.rowwise().norm()); in stable_norm()
Dsparse_vector.cpp81 VERIFY_IS_APPROX(v1.blueNorm(), refV1.blueNorm()); in sparse_vector()
/external/eigen/unsupported/Eigen/src/LevenbergMarquardt/
DLMpar.h74 dxnorm = wa2.blueNorm(); in lmpar2()
88 temp = wa1.blueNorm(); in lmpar2()
121 dxnorm = wa2.blueNorm(); in lmpar2()
140 temp = wa1.blueNorm(); in lmpar2()
DLMonestep.h42 m_wa2(j) = m_fjac.col(j).blueNorm(); in minimizeOneStep()
/external/eigen/unsupported/test/
DNonLinearOptimization.cpp186 VERIFY_IS_APPROX(lm.fvec.blueNorm(), 0.09063596); in testLmder1()
215 fnorm = lm.fvec.blueNorm(); in testLmder()
300 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08); in testHybrj1()
335 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08); in testHybrj()
388 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08); in testHybrd1()
419 VERIFY_IS_APPROX(solver.fvec.blueNorm(), 1.192636e-08); in testHybrd()
491 VERIFY_IS_APPROX(lm.fvec.blueNorm(), 0.09063596); in testLmstr1()
520 fnorm = lm.fvec.blueNorm(); in testLmstr()
576 VERIFY_IS_APPROX(fvec.blueNorm(), 0.09063596); in testLmdif1()
606 fnorm = lm.fvec.blueNorm(); in testLmdif()
Dlevenberg_marquardt.cpp79 VERIFY_IS_APPROX(lm.fvec().blueNorm(), 0.09063596); in testLmder1()
108 fnorm = lm.fvec().blueNorm(); in testLmder()
181 VERIFY_IS_APPROX(fvec.blueNorm(), 0.09063596); in testLmdif1()
211 fnorm = lm.fvec().blueNorm(); in testLmdif()
/external/eigen/Eigen/src/SparseCore/
DSparseDot.h95 SparseMatrixBase<Derived>::blueNorm() const in blueNorm() function
DSparseMatrixBase.h393 RealScalar blueNorm() const;
/external/eigen/Eigen/src/Core/
DStableNorm.h184 MatrixBase<Derived>::blueNorm() const in blueNorm() function
DVectorwiseOp.h122 EIGEN_MEMBER_FUNCTOR(blueNorm, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::…
329 const typename ReturnType<internal::member_blueNorm,RealScalar>::Type blueNorm() const
DMatrixBase.h208 RealScalar blueNorm() const;
/external/eigen/doc/
DSparseQuickReference.dox95 sm1.blueNorm();