| /external/eigen/Eigen/src/Core/ |
| StableNorm.h | 49 typedef typename Derived::RealScalar RealScalar;
58 static RealScalar b1, b2, s1m, s2m, overfl, rbig, relerr;
62 RealScalar eps;
71 ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers
72 it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in mantissa
73 iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent
74 iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent
75 rbig = (std::numeric_limits<RealScalar>::max)(); // largest floating-point number
78 b1 = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp))); // lower boundary of midrang
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| MathFunctions.h | 64 typedef typename NumTraits<Scalar>::Real RealScalar;
65 static inline RealScalar run(const Scalar& x)
74 typedef typename NumTraits<Scalar>::Real RealScalar;
75 static inline RealScalar run(const Scalar& x)
98 typedef typename NumTraits<Scalar>::Real RealScalar;
99 static inline RealScalar run(const Scalar&)
101 return RealScalar(0);
108 typedef typename NumTraits<Scalar>::Real RealScalar;
109 static inline RealScalar run(const Scalar& x)
131 typedef typename NumTraits<Scalar>::Real RealScalar;
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| Fuzzy.h | 22 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
34 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar&)
43 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
52 static bool run(const Derived& x, const OtherDerived&, const typename Derived::RealScalar&)
61 static bool run(const Derived& x, const typename Derived::RealScalar& y, const typename Derived::RealScalar& prec)
70 static bool run(const Derived& x, const typename Derived::RealScalar&, const typename Derived::RealScalar&)
92 * RealScalar&, RealScalar) instead
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| /external/eigen/unsupported/Eigen/src/Polynomials/ |
| PolynomialSolver.h | 35 typedef typename NumTraits<Scalar>::Real RealScalar;
36 typedef std::complex<RealScalar> RootType;
70 const RealScalar& absImaginaryThreshold = NumTraits<Scalar>::dummy_precision() ) const
86 RealScalar norm2 = numext::abs2( m_roots[0] );
89 const RealScalar currNorm2 = numext::abs2( m_roots[i] );
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/MatrixFunctions/ |
| MatrixPower.h | 21 typedef typename MatrixType::RealScalar RealScalar;
24 MatrixPowerRetval(MatrixPower<MatrixType>& pow, RealScalar p) : m_pow(pow), m_p(p)
36 const RealScalar m_p;
49 typedef typename MatrixType::RealScalar RealScalar;
50 typedef std::complex<RealScalar> ComplexScalar;
55 RealScalar m_p;
58 void compute2x2(MatrixType& res, RealScalar p) const;
63 static ComplexScalar computeSuperDiag(const ComplexScalar&, const ComplexScalar&, RealScalar p)
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| MatrixFunctionAtomic.h | 30 typedef typename NumTraits<Scalar>::Real RealScalar;
67 RealScalar m_mu;
75 m_avgEival = A.trace() / Scalar(RealScalar(m_Arows));
84 P = Scalar(RealScalar(1.0/(s + 1))) * P * m_Ashifted;
109 const RealScalar F_norm = F.cwiseAbs().rowwise().sum().maxCoeff();
110 const RealScalar Fincr_norm = Fincr.cwiseAbs().rowwise().sum().maxCoeff();
112 RealScalar delta = 0;
113 RealScalar rfactorial = 1;
115 RealScalar mx = 0;
119 rfactorial *= RealScalar(r)
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| /external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
| MINRES.h | 33 typename Dest::RealScalar& tol_error)
36 typedef typename Dest::RealScalar RealScalar;
43 const RealScalar rhsNorm2(rhs.squaredNorm());
44 const RealScalar threshold2(tol_error*tol_error*rhsNorm2); // convergence threshold (compared to residualNorm2)
50 RealScalar residualNorm2(v_new.squaredNorm());
53 // RealScalar beta; // will be initialized inside loop
54 RealScalar beta_new2(v_new.dot(w_new));
56 RealScalar beta_new(sqrt(beta_new2));
57 const RealScalar beta_one(beta_new)
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| /external/eigen/blas/ |
| level1_cplx_impl.h | 13 typedef RealScalar result_type;
15 inline RealScalar operator() (const Scalar& a) const { return numext::norm1(a); }
28 RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),asum_)(int *n, RealScalar *px, int *incx)
40 int EIGEN_BLAS_FUNC(dotcw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar* pres)
59 int EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar* pres
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| level1_real_impl.h | 14 RealScalar EIGEN_BLAS_FUNC(asum)(int *n, RealScalar *px, int *incx)
27 Scalar EIGEN_BLAS_FUNC(dot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
46 Scalar EIGEN_BLAS_FUNC(nrm2)(int *n, RealScalar *px, int *incx)
57 int EIGEN_BLAS_FUNC(rot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pc, RealScalar *ps)
83 int EIGEN_BLAS_FUNC(rotm)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *param
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| level1_impl.h | 12 int EIGEN_BLAS_FUNC(axpy)(int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, int *incy)
29 int EIGEN_BLAS_FUNC(copy)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
54 int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amax_)(int *n, RealScalar *px, int *incx)
65 int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amin_)(int *n, RealScalar *px, int *incx)
76 int EIGEN_BLAS_FUNC(rotg)(RealScalar *pa, RealScalar *pb, RealScalar *pc, RealScalar *ps
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| level2_cplx_impl.h | 19 int EIGEN_BLAS_FUNC(hemv)(char *uplo, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *px, int *incx, RealScalar *pbeta, RealScalar *py, int *incy)
86 // int EIGEN_BLAS_FUNC(hbmv)(char *uplo, int *n, int *k, RealScalar *alpha, RealScalar *a, int *lda,
87 // RealScalar *x, int *incx, RealScalar *beta, RealScalar *y, int *incy
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| PackedSelfadjointProduct.h | 24 typedef typename NumTraits<Scalar>::Real RealScalar;
25 static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar alpha)
44 typedef typename NumTraits<Scalar>::Real RealScalar;
45 static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar alpha)
|
| level2_real_impl.h | 13 int EIGEN_BLAS_FUNC(symv) (char *uplo, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *px, int *incx, RealScalar *pbeta, RealScalar *py, int *incy)
71 int EIGEN_BLAS_FUNC(syr)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *pc, int *ldc)
132 int EIGEN_BLAS_FUNC(syr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pc, int *ldc
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| /external/eigen/Eigen/src/Householder/ |
| Householder.h | 42 void MatrixBase<Derived>::makeHouseholderInPlace(Scalar& tau, RealScalar& beta)
68 RealScalar& beta) const
76 RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
79 if(tailSqNorm == RealScalar(0) && numext::imag(c0)==RealScalar(0))
81 tau = RealScalar(0);
88 if (numext::real(c0)>=RealScalar(0))
|
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LevenbergMarquardt.h | 117 typedef typename JacobianType::RealScalar RealScalar;
150 m_ftol = std::sqrt(NumTraits<RealScalar>::epsilon());
151 m_xtol = std::sqrt(NumTraits<RealScalar>::epsilon());
157 void setXtol(RealScalar xtol) { m_xtol = xtol; }
160 void setFtol(RealScalar ftol) { m_ftol = ftol; }
163 void setGtol(RealScalar gtol) { m_gtol = gtol; }
166 void setFactor(RealScalar factor) { m_factor = factor; }
169 void setEpsilon (RealScalar epsfcn) { m_epsfcn = epsfcn; }
190 RealScalar fnorm() {return m_fnorm;
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| LMonestep.h | 25 RealScalar temp, temp1,temp2;
26 RealScalar ratio;
27 RealScalar pnorm, xnorm, fnorm1, actred, dirder, prered;
131 temp = RealScalar(.5);
133 temp = RealScalar(.5) * dirder / (dirder + RealScalar(.5) * actred);
134 if (RealScalar(.1) * fnorm1 >= m_fnorm || temp < RealScalar(.1))
137 m_delta = temp * (std::min)(m_delta, pnorm / RealScalar(.1));
139 } else if (!(m_par != 0. && ratio < RealScalar(.75)))
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| /external/eigen/test/ |
| bandmatrix.cpp | 16 typedef typename NumTraits<Scalar>::Real RealScalar;
33 m.diagonal(i).setConstant(static_cast<RealScalar>(i));
34 dm1.diagonal(i).setConstant(static_cast<RealScalar>(i));
38 m.diagonal(-i).setConstant(-static_cast<RealScalar>(i));
39 dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i));
46 m.col(i).setConstant(static_cast<RealScalar>(i+1));
47 dm1.col(i).setConstant(static_cast<RealScalar>(i+1));
|
| stable_norm.cpp | 34 typedef typename NumTraits<Scalar>::Real RealScalar;
40 ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers
41 it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in mantissa
42 iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent
43 iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent
55 while(numext::abs2(factor)<RealScalar(1e-4))
57 Scalar big = factor * ((std::numeric_limits<RealScalar>::max)() * RealScalar(1e-4));
60 while(numext::abs2(factor)<RealScalar(1e-4))
62 Scalar small = factor * ((std::numeric_limits<RealScalar>::min)() * RealScalar(1e4))
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| /external/eigen/unsupported/test/ |
| matrix_function.cpp | 20 return ((a-b).array().abs() < test_precision<typename Type1::RealScalar>()).all();
30 typedef typename MatrixType::RealScalar RealScalar;
33 diag(i, i) = Scalar(RealScalar(internal::random<int>(0,2)))
34 + internal::random<Scalar>() * Scalar(RealScalar(0.01));
84 typedef typename MatrixType::RealScalar RealScalar;
88 diag(i, i) = Scalar(RealScalar(internal::random<Index>(-1, 1))) * imagUnit
89 + internal::random<Scalar>() * Scalar(RealScalar(0.01));
102 typedef typename NumTraits<Scalar>::Real RealScalar;
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| /external/eigen/test/eigen2/ |
| eigen2_adjoint.cpp | 19 typedef typename NumTraits<Scalar>::Real RealScalar;
25 RealScalar largerEps = test_precision<RealScalar>();
26 if (ei_is_same_type<RealScalar,float>::ret)
27 largerEps = RealScalar(1e-3f);
50 typedef typename NumTraits<Scalar>::Real RealScalar;
57 VERIFY_IS_MUCH_SMALLER_THAN(ei_abs(vzero.eigen2_dot(v1)), static_cast<RealScalar>(1));
59 VERIFY_IS_MUCH_SMALLER_THAN(vzero.norm(), static_cast<RealScalar>(1));
74 VERIFY_IS_APPROX(VectorType::Random(rows).normalized().norm(), RealScalar(1));
|
| eigen2_parametrizedline.cpp | 24 typedef typename NumTraits<Scalar>::Real RealScalar;
39 VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(p0), RealScalar(1) );
40 VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(p0+s0*d0), RealScalar(1) );
42 VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(l0.projection(p1)), RealScalar(1) );
|
| /external/eigen/Eigen/src/Core/util/ |
| BlasUtil.h | 63 template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, false,true>
65 typedef std::complex<RealScalar> Scalar;
73 template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, true,false>
75 typedef std::complex<RealScalar> Scalar;
83 template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, true,true
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| /external/eigen/Eigen/src/SparseCore/ |
| SparseSparseProductWithPruning.h | 20 static void sparse_sparse_product_with_pruning_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res, const typename ResultType::RealScalar& tolerance)
86 typedef typename ResultType::RealScalar RealScalar;
88 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
99 typedef typename ResultType::RealScalar RealScalar;
100 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
113 typedef typename ResultType::RealScalar RealScalar;
114 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance
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| /external/eigen/Eigen/src/Jacobi/ |
| Jacobi.h | 37 typedef typename NumTraits<Scalar>::Real RealScalar;
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)
87 typedef typename NumTraits<Scalar>::Real RealScalar;
96 RealScalar tau = (x-z)/(RealScalar(2)*abs(y));
97 RealScalar w = sqrt(numext::abs2(tau) + RealScalar(1))
[all...] |
| /external/eigen/Eigen/src/IterativeLinearSolvers/ |
| BiCGSTAB.h | 31 typename Dest::RealScalar& tol_error)
35 typedef typename Dest::RealScalar RealScalar;
38 RealScalar tol = tol_error;
45 RealScalar r0_sqnorm = r0.squaredNorm();
46 RealScalar rhs_sqnorm = rhs.squaredNorm();
62 RealScalar tol2 = tol*tol;
63 RealScalar eps2 = NumTraits<Scalar>::epsilon()*NumTraits<Scalar>::epsilon();
94 RealScalar tmp = t.squaredNorm();
95 if(tmp>RealScalar(0)
[all...] |
