/bionic/libm/upstream-freebsd/lib/msun/src/ |
s_exp2f.c | 39 redux = 0x1.8p23f / TBLSIZE, variable 121 STRICT_ASSIGN(float, t, x + redux); 126 t -= redux;
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s_exp2.c | 39 redux = 0x1.8p52 / TBLSIZE, variable 368 STRICT_ASSIGN(double, t, x + redux); 373 t -= redux;
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/external/eigen/Eigen/src/Core/ |
Redux.h | 316 /** \returns the result of a full redux operation on the whole matrix or vector using \a func 326 DenseBase<Derived>::redux(const Func& func) const function in class:Eigen::DenseBase 340 return this->redux(Eigen::internal::scalar_min_op<Scalar>()); 350 return this->redux(Eigen::internal::scalar_max_op<Scalar>()); 363 return this->redux(Eigen::internal::scalar_sum_op<Scalar>()); 374 return Scalar(this->redux(Eigen::internal::scalar_sum_op<Scalar>())) / Scalar(this->size()); 390 return this->redux(Eigen::internal::scalar_product_op<Scalar>());
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StableNorm.h | 198 return this->cwiseAbs().redux(internal::scalar_hypot_op<RealScalar>());
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VectorwiseOp.h | 21 * \tparam MatrixType the type of the matrix we are applying the redux operation 23 * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal) 25 * This class represents an expression of a partial redux operator of a matrix. 144 { return mat.redux(m_functor); } 155 * \param Direction indicates the direction of the redux (#Vertical or #Horizontal) 270 * of the custom redux operator. Note that func must be an associative operator. 276 redux(const BinaryOp& func = BinaryOp()) const function in class:Eigen::VectorwiseOp
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DenseBase.h | 416 redux(const BinaryOp& func) const;
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/external/wpa_supplicant_8/src/tls/ |
libtommath.c | [all...] |
/bionic/libm/upstream-freebsd/lib/msun/ld128/ |
s_exp2l.c | 59 redux = 0x1.8p112 / TBLSIZE; variable 384 * Reduce x, computing z, i0, and k. The low bits of x + redux 390 * Then the low-order word of x + redux is 0x000abc12, 397 u.e = x + redux; 401 u.e -= redux;
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/external/eigen/test/eigen2/ |
eigen2_array.cpp | 49 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
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/external/eigen/test/ |
array.cpp | 73 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
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array_for_matrix.cpp | 48 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
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