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Searched refs:RealScalar (Results 1 – 25 of 214) sorted by relevance

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/external/eigen/Eigen/src/Core/
DStableNorm.h57 typedef typename Derived::RealScalar RealScalar; in blueNorm_impl() typedef
63 static RealScalar b1, b2, s1m, s2m, rbig, relerr; in blueNorm_impl()
67 RealScalar eps; in blueNorm_impl()
76 … ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers in blueNorm_impl()
77 …it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in m… in blueNorm_impl()
78 iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent in blueNorm_impl()
79 iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent in blueNorm_impl()
80 rbig = (std::numeric_limits<RealScalar>::max)(); // largest floating-point number in blueNorm_impl()
83 b1 = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp))); // lower boundary of midrange in blueNorm_impl()
85 b2 = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp))); // upper boundary of midrange in blueNorm_impl()
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DConditionEstimator.h21 return (v_abs.array() == static_cast<typename Vector::RealScalar>(0)) in run()
30 return (v.array() < static_cast<typename Vector::RealScalar>(0))
56 typename Decomposition::RealScalar rcond_invmatrix_L1_norm_estimate(const Decomposition& dec)
60 typedef typename Decomposition::RealScalar RealScalar;
62 typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVector;
84 RealScalar lower_bound = v.template lpNorm<1>();
91 RealScalar old_lower_bound = lower_bound;
133 Scalar alternating_sign(RealScalar(1));
136 …v[i] = alternating_sign * static_cast<RealScalar>(RealScalar(1) + (RealScalar(i) / (RealScalar(n -…
140 const RealScalar alternate_lower_bound = (2 * v.template lpNorm<1>()) / (3 * RealScalar(n));
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DDot.h125 RealScalar z = n.squaredNorm();
127 if(z>RealScalar(0))
144 RealScalar z = squaredNorm();
146 if(z>RealScalar(0))
168 RealScalar w = n.cwiseAbs().maxCoeff();
169 RealScalar z = (n/w).squaredNorm();
170 if(z>RealScalar(0))
190 RealScalar w = cwiseAbs().maxCoeff();
191 RealScalar z = (derived()/w).squaredNorm();
192 if(z>RealScalar(0))
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DFuzzy.h23 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec) in run()
35 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar&)
45 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
55 static bool run(const Derived& x, const OtherDerived&, const typename Derived::RealScalar&)
65 … bool run(const Derived& x, const typename Derived::RealScalar& y, const typename Derived::RealSca…
75 …c bool run(const Derived& x, const typename Derived::RealScalar&, const typename Derived::RealScal…
105 const RealScalar& prec
127 const RealScalar& prec
147 const RealScalar& prec
DMathFunctions.h78 typedef typename NumTraits<Scalar>::Real RealScalar;
80 static inline RealScalar run(const Scalar& x)
89 typedef typename NumTraits<Scalar>::Real RealScalar;
91 static inline RealScalar run(const Scalar& x)
104 typedef T RealScalar;
126 typedef typename NumTraits<Scalar>::Real RealScalar;
128 static inline RealScalar run(const Scalar&)
130 return RealScalar(0);
137 typedef typename NumTraits<Scalar>::Real RealScalar;
139 static inline RealScalar run(const Scalar& x)
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/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DTensorFFT.h64 typedef typename NumTraits<typename XprTraits::Scalar>::Real RealScalar;
65 typedef typename std::complex<RealScalar> ComplexScalar;
67 …typedef typename conditional<FFTResultType == RealPart || FFTResultType == ImagPart, RealScalar, C…
92 typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
93 typedef typename std::complex<RealScalar> ComplexScalar;
94 …l::conditional<FFTResultType == RealPart || FFTResultType == ImagPart, RealScalar, ComplexScalar>:…
124 typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
125 typedef typename std::complex<RealScalar> ComplexScalar;
129 …l::conditional<FFTResultType == RealPart || FFTResultType == ImagPart, RealScalar, ComplexScalar>:…
212 buf[i] = MakeComplex<internal::is_same<InputScalar, RealScalar>::value>()(m_impl.coeff(i));
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/external/eigen/unsupported/Eigen/src/MatrixFunctions/
DMatrixPower.h42 typedef typename MatrixType::RealScalar RealScalar; typedef
51 … MatrixPowerParenthesesReturnValue(MatrixPower<MatrixType>& pow, RealScalar p) : m_pow(pow), m_p(p) in MatrixPowerParenthesesReturnValue()
68 const RealScalar m_p;
95 typedef typename MatrixType::RealScalar RealScalar; typedef
96 typedef std::complex<RealScalar> ComplexScalar;
101 RealScalar m_p;
104 void compute2x2(ResultType& res, RealScalar p) const;
109 static ComplexScalar computeSuperDiag(const ComplexScalar&, const ComplexScalar&, RealScalar p);
110 static RealScalar computeSuperDiag(RealScalar, RealScalar, RealScalar p);
124 MatrixPowerAtomic(const MatrixType& T, RealScalar p);
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DMatrixLogarithm.h27 typedef typename NumTraits<Scalar>::Real RealScalar; typedef
28 static const int value = std::numeric_limits<RealScalar>::digits<= 24? 5: // single precision
29 std::numeric_limits<RealScalar>::digits<= 53? 7: // double precision
30 std::numeric_limits<RealScalar>::digits<= 64? 8: // extended precision
31 std::numeric_limits<RealScalar>::digits<=106? 10: // double-double
40 typedef typename MatrixType::RealScalar RealScalar; in matrix_log_compute_2x2() typedef
58 else if ((abs(A(0,0)) < RealScalar(0.5)*abs(A(1,1))) || (abs(A(0,0)) > 2*abs(A(1,1)))) in matrix_log_compute_2x2()
65 …ingNumber = static_cast<int>(ceil((imag(logA11 - logA00) - RealScalar(EIGEN_PI)) / RealScalar(2*EI… in matrix_log_compute_2x2()
134 typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar; in matrix_log_compute_pade() typedef
139 const RealScalar nodes[][maxPadeDegree] = { in matrix_log_compute_pade()
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/external/eigen/Eigen/src/misc/
DRealSvd2x2.h18 template<typename MatrixType, typename RealScalar, typename Index>
20 JacobiRotation<RealScalar> *j_left, in real_2x2_jacobi_svd()
21 JacobiRotation<RealScalar> *j_right) in real_2x2_jacobi_svd()
25 Matrix<RealScalar,2,2> m; in real_2x2_jacobi_svd()
28 JacobiRotation<RealScalar> rot1; in real_2x2_jacobi_svd()
29 RealScalar t = m.coeff(0,0) + m.coeff(1,1); in real_2x2_jacobi_svd()
30 RealScalar d = m.coeff(1,0) - m.coeff(0,1); in real_2x2_jacobi_svd()
32 if(abs(d) < (std::numeric_limits<RealScalar>::min)()) in real_2x2_jacobi_svd()
34 rot1.s() = RealScalar(0); in real_2x2_jacobi_svd()
35 rot1.c() = RealScalar(1); in real_2x2_jacobi_svd()
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/external/eigen/test/
Dstable_norm.cpp26 typedef typename NumTraits<Scalar>::Real RealScalar; in stable_norm() typedef
34 ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers in stable_norm()
35 … it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in mantissa in stable_norm()
36 iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent in stable_norm()
37 iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent in stable_norm()
42 Scalar inf = std::numeric_limits<RealScalar>::infinity(); in stable_norm()
43 if(NumTraits<Scalar>::IsComplex && (numext::isnan)(inf*RealScalar(1)) ) in stable_norm()
48 … mess up complex*real product, " << inf << " * " << 1.0 << " = " << inf*RealScalar(1) << std::endl; in stable_norm()
59 while(numext::abs2(factor)<RealScalar(1e-4)) in stable_norm()
61 Scalar big = factor * ((std::numeric_limits<RealScalar>::max)() * RealScalar(1e-4)); in stable_norm()
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Dsvd_fill.h25 typedef typename MatrixType::RealScalar RealScalar; typedef
28 RealScalar s = std::numeric_limits<RealScalar>::max_exponent10/4;
29 s = internal::random<RealScalar>(1,s);
30 Matrix<RealScalar,Dynamic,1> d = Matrix<RealScalar,Dynamic,1>::Random(diagSize);
32 d(k) = d(k)*pow(RealScalar(10),internal::random<RealScalar>(-s,s));
68 samples << 0, four_denorms<RealScalar>(),
69 …RealScalar(1)/NumTraits<RealScalar>::highest(), RealScalar(1)/NumTraits<RealScalar>::highest(), (s…
/external/eigen/blas/
Dlevel2_cplx_impl.h19 …GEN_BLAS_FUNC(hemv)(const char *uplo, const int *n, const RealScalar *palpha, const RealScalar *pa… in EIGEN_BLAS_FUNC()
20 … const RealScalar *px, const int *incx, const RealScalar *pbeta, RealScalar *py, const int *incy) in EIGEN_BLAS_FUNC()
105 int EIGEN_BLAS_FUNC(hpr)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealSca… in EIGEN_BLAS_FUNC()
107 typedef void (*functype)(int, Scalar*, const Scalar*, RealScalar); in EIGEN_BLAS_FUNC()
117 RealScalar alpha = *palpha; in EIGEN_BLAS_FUNC()
149 …AS_FUNC(hpr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, i… in EIGEN_BLAS_FUNC()
197 int EIGEN_BLAS_FUNC(her)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealSca… in EIGEN_BLAS_FUNC()
209 RealScalar alpha = *reinterpret_cast<RealScalar*>(palpha); in EIGEN_BLAS_FUNC()
219 if(alpha==RealScalar(0)) in EIGEN_BLAS_FUNC()
244 …AS_FUNC(her2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, i… in EIGEN_BLAS_FUNC()
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Dlevel1_cplx_impl.h13 typedef RealScalar result_type;
15 inline RealScalar operator() (const Scalar& a) const { return numext::norm1(a); } in EIGEN_EMPTY_STRUCT_CTOR()
28 RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),asum_)(int *n, RealScalar *px, int…
40 int EIGEN_BLAS_FUNC(dotcw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar…
63 int EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar…
84 RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),nrm2_)(int *n, RealScalar *px, int…
97 …X,REAL_SCALAR_SUFFIX),rot_)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScal…
103 RealScalar c = *pc;
104 RealScalar s = *ps;
120 …T(EIGEN_CAT(SCALAR_SUFFIX,REAL_SCALAR_SUFFIX),scal_)(int *n, RealScalar *palpha, RealScalar *px, i…
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Dlevel1_impl.h12 …EIGEN_BLAS_FUNC(axpy)(const int *n, const RealScalar *palpha, const RealScalar *px, const int *inc… in EIGEN_BLAS_FUNC()
29 int EIGEN_BLAS_FUNC(copy)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy) in EIGEN_BLAS_FUNC()
54 int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amax_)(int *n, RealScalar *px, int *incx) in EIGEN_CAT()
65 int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amin_)(int *n, RealScalar *px, int *incx) in EIGEN_CAT()
76 int EIGEN_BLAS_FUNC(rotg)(RealScalar *pa, RealScalar *pb, RealScalar *pc, RealScalar *ps) in EIGEN_BLAS_FUNC()
83 RealScalar* c = pc; in EIGEN_BLAS_FUNC()
106 if (ab > aa && *c!=RealScalar(0)) in EIGEN_BLAS_FUNC()
113 RealScalar norm,scale; in EIGEN_BLAS_FUNC()
114 if(abs(a)==RealScalar(0)) in EIGEN_BLAS_FUNC()
116 *c = RealScalar(0); in EIGEN_BLAS_FUNC()
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/external/eigen/unsupported/Eigen/src/LevenbergMarquardt/
DLevenbergMarquardt.h117 typedef typename JacobianType::RealScalar RealScalar; typedef
151 m_ftol = sqrt(NumTraits<RealScalar>::epsilon()); in resetParameters()
152 m_xtol = sqrt(NumTraits<RealScalar>::epsilon()); in resetParameters()
158 void setXtol(RealScalar xtol) { m_xtol = xtol; } in setXtol()
161 void setFtol(RealScalar ftol) { m_ftol = ftol; } in setFtol()
164 void setGtol(RealScalar gtol) { m_gtol = gtol; } in setGtol()
167 void setFactor(RealScalar factor) { m_factor = factor; } in setFactor()
170 void setEpsilon (RealScalar epsfcn) { m_epsfcn = epsfcn; } in setEpsilon()
179 RealScalar xtol() const {return m_xtol; } in xtol()
182 RealScalar ftol() const {return m_ftol; } in ftol()
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DLMonestep.h25 RealScalar temp, temp1,temp2; in minimizeOneStep()
26 RealScalar ratio; in minimizeOneStep()
27 RealScalar pnorm, xnorm, fnorm1, actred, dirder, prered; in minimizeOneStep()
131 temp = RealScalar(.5); in minimizeOneStep()
133 temp = RealScalar(.5) * dirder / (dirder + RealScalar(.5) * actred); in minimizeOneStep()
134 if (RealScalar(.1) * fnorm1 >= m_fnorm || temp < RealScalar(.1)) in minimizeOneStep()
137 m_delta = temp * (std::min)(m_delta, pnorm / RealScalar(.1)); in minimizeOneStep()
139 } else if (!(m_par != 0. && ratio < RealScalar(.75))) { in minimizeOneStep()
140 m_delta = pnorm / RealScalar(.5); in minimizeOneStep()
141 m_par = RealScalar(.5) * m_par; in minimizeOneStep()
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/external/eigen/Eigen/src/SparseCore/
DSparseSparseProductWithPruning.h20 …(const Lhs& lhs, const Rhs& rhs, ResultType& res, const typename ResultType::RealScalar& tolerance) in sparse_sparse_product_with_pruning_impl()
89 typedef typename ResultType::RealScalar RealScalar;
91 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
102 typedef typename ResultType::RealScalar RealScalar;
103 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
116 typedef typename ResultType::RealScalar RealScalar;
117 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
129 typedef typename ResultType::RealScalar RealScalar;
130 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
149 typedef typename ResultType::RealScalar RealScalar;
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/external/eigen/unsupported/Eigen/src/Polynomials/
DPolynomialSolver.h35 typedef typename NumTraits<Scalar>::Real RealScalar; typedef
36 typedef std::complex<RealScalar> RootType;
70 const RealScalar& absImaginaryThreshold = NumTraits<Scalar>::dummy_precision() ) const
86 RealScalar norm2 = numext::abs2( m_roots[0] ); in selectComplexRoot_withRespectToNorm()
89 const RealScalar currNorm2 = numext::abs2( m_roots[i] ); in selectComplexRoot_withRespectToNorm()
117 inline const RealScalar& selectRealRoot_withRespectToAbsRealPart(
120 const RealScalar& absImaginaryThreshold = NumTraits<Scalar>::dummy_precision() ) const
125 RealScalar abs2(0);
139 const RealScalar currAbs2 = m_roots[i].real() * m_roots[i].real();
158 inline const RealScalar& selectRealRoot_withRespectToRealPart(
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/external/eigen/unsupported/Eigen/src/IterativeSolvers/
DMINRES.h33 typename Dest::RealScalar& tol_error) in minres()
36 typedef typename Dest::RealScalar RealScalar; in minres() typedef
41 const RealScalar rhsNorm2(rhs.squaredNorm()); in minres()
53 …const RealScalar threshold2(tol_error*tol_error*rhsNorm2); // convergence threshold (compared to r… in minres()
59 RealScalar residualNorm2(v_new.squaredNorm()); in minres()
63 RealScalar beta_new2(v_new.dot(w_new)); in minres()
65 RealScalar beta_new(sqrt(beta_new2)); in minres()
66 const RealScalar beta_one(beta_new); in minres()
70 RealScalar c(1.0); // the cosine of the Givens rotation in minres()
71 RealScalar c_old(1.0); in minres()
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/external/eigen/Eigen/src/QR/
DColPivHouseholderQR.h60 typedef typename MatrixType::RealScalar RealScalar;
67 typedef typename internal::plain_row_type<MatrixType, RealScalar>::type RealRowVectorType;
233 typename MatrixType::RealScalar absDeterminant() const;
247 typename MatrixType::RealScalar logAbsDeterminant() const;
259 RealScalar premultiplied_threshold = abs(m_maxpivot) * threshold();
353 ColPivHouseholderQR& setThreshold(const RealScalar& threshold)
378 RealScalar threshold() const
384 … : NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
403 RealScalar maxPivot() const { return m_maxpivot; }
442 RealScalar m_prescribedThreshold, m_maxpivot;
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/external/eigen/Eigen/src/Jacobi/
DJacobi.h37 typedef typename NumTraits<Scalar>::Real RealScalar; typedef
66 bool makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z);
83 bool JacobiRotation<Scalar>::makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z) in makeJacobi()
87 typedef typename NumTraits<Scalar>::Real RealScalar; in makeJacobi() typedef
88 RealScalar deno = RealScalar(2)*abs(y); in makeJacobi()
89 if(deno < (std::numeric_limits<RealScalar>::min)()) in makeJacobi()
97 RealScalar tau = (x-z)/deno; in makeJacobi()
98 RealScalar w = sqrt(numext::abs2(tau) + RealScalar(1)); in makeJacobi()
99 RealScalar t; in makeJacobi()
100 if(tau>RealScalar(0)) in makeJacobi()
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/external/eigen/unsupported/test/
Dmatrix_function.cpp20 return ((a-b).array().abs() < test_precision<typename Type1::RealScalar>()).all(); in test_isApprox_abs()
30 typedef typename MatrixType::RealScalar RealScalar; in randomMatrixWithRealEivals() typedef
33 diag(i, i) = Scalar(RealScalar(internal::random<int>(0,2))) in randomMatrixWithRealEivals()
34 + internal::random<Scalar>() * Scalar(RealScalar(0.01)); in randomMatrixWithRealEivals()
84 typedef typename MatrixType::RealScalar RealScalar; in run() typedef
88 diag(i, i) = Scalar(RealScalar(internal::random<Index>(-1, 1))) * imagUnit in run()
89 + internal::random<Scalar>() * Scalar(RealScalar(0.01)); in run()
102 typedef typename NumTraits<Scalar>::Real RealScalar; in testMatrixExponential() typedef
103 typedef std::complex<RealScalar> ComplexScalar; in testMatrixExponential()
112 typedef typename NumTraits<Scalar>::Real RealScalar; in testMatrixLogarithm() typedef
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/external/eigen/Eigen/src/SVD/
DBDCSVD.h79 typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
80 typedef typename NumTraits<RealScalar>::Literal Literal;
96 typedef Matrix<RealScalar, Dynamic, Dynamic, ColMajor> MatrixXr;
97 typedef Matrix<RealScalar, Dynamic, 1> VectorType;
98 typedef Array<RealScalar, Dynamic, 1> ArrayXr;
186 …atic RealScalar secularEq(RealScalar x, const ArrayRef& col0, const ArrayRef& diag, const IndicesR…
246 const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
262 RealScalar scale = matrix.cwiseAbs().maxCoeff();
283 RealScalar a = abs(m_computed.coeff(i, i));
399 const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
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/external/eigen/Eigen/src/Eigenvalues/
DSelfAdjointEigenSolver.h94 typedef typename NumTraits<Scalar>::Real RealScalar; typedef
103 typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVectorType;
391 template<int StorageOrder,typename RealScalar, typename Scalar, typename Index>
393 static void tridiagonal_qr_step(RealScalar* diag, RealScalar* subdiag, Index start, Index end, Scal…
433 RealScalar scale = mat.cwiseAbs().maxCoeff();
434 if(scale==RealScalar(0)) scale = RealScalar(1);
494 typedef typename DiagType::RealScalar RealScalar;
495 const RealScalar considerAsZero = (std::numeric_limits<RealScalar>::min)();
496 const RealScalar precision = RealScalar(2)*NumTraits<RealScalar>::epsilon();
505 while (end>0 && subdiag[end-1]==RealScalar(0))
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/external/eigen/Eigen/src/IterativeLinearSolvers/
DLeastSquareConjugateGradient.h30 typename Dest::RealScalar& tol_error) in least_square_conjugate_gradient()
34 typedef typename Dest::RealScalar RealScalar; in least_square_conjugate_gradient() typedef
38 RealScalar tol = tol_error; in least_square_conjugate_gradient()
46 RealScalar rhsNorm2 = (mat.adjoint()*rhs).squaredNorm(); in least_square_conjugate_gradient()
54 RealScalar threshold = tol*tol*rhsNorm2; in least_square_conjugate_gradient()
55 RealScalar residualNorm2 = normal_residual.squaredNorm(); in least_square_conjugate_gradient()
67 …RealScalar absNew = numext::real(normal_residual.dot(p)); // the square of the absolute value of … in least_square_conjugate_gradient()
84 RealScalar absOld = absNew; in least_square_conjugate_gradient()
86 …RealScalar beta = absNew / absOld; // calculate the Gram-Schmidt value used to create… in least_square_conjugate_gradient()
160 typedef typename MatrixType::RealScalar RealScalar;

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