| /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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